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M8060-729 - IBM Managed File Transfer Sales Mastery Test v2 - BrainDump Information

Vendor Name : IBM
Exam Code : M8060-729
Exam Name : IBM Managed File Transfer Sales Mastery Test v2
Questions and Answers : 45 Q & A
Updated On : March 21, 2019
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M8060-729 exam Dumps Source : IBM Managed File Transfer Sales Mastery Test v2

Test Code : M8060-729
Test Name : IBM Managed File Transfer Sales Mastery Test v2
Vendor Name : IBM
Q&A : 45 Real Questions

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IBM IBM Managed File Transfer

Managed File transfer Market 2019 world analysis via Key players – IBM, Axway, Saison advice methods, Opentext, CA technologies | killexams.com Real Questions and Pass4sure dumps

Managed File transfer Market 2019

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This record offers extensive examine of “Managed File switch Market” the usage of SWOT analysis i.e. energy, weakness, alternatives and chance to the company. The Managed File switch Market document also provides an in-depth survey of key avid gamers out there which is in line with the a number of goals of a company reminiscent of profiling, the product define, the quantity of creation, required uncooked fabric, and the economic fitness of the firm.

This document stories the Managed File switch market fame and outlook of international and primary areas, from angles of manufacturers, regions, product forms and end industries; this document analyzes the true producers in global and major areas, and splits the Managed File transfer market by using product classification and functions/conclusion industries.

The global Managed File transfer market is valued at 1084.four million USD in 2018 and is expected to reach 1687.0 million USD by using the conclusion of 2025, growing at a CAGR of 6.47% between 2018 and 2025.

The fundamental players in world Managed File switch market encompass IBM Axway Saison assistance programs Opentext CA technologies Accellion Globalscape Primeur Jscape Ipswitch Micro center of attention TIBCO Attunity SSH Coviant software

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On the basis of product, the Managed File transfer market is basically break up into device-centric File switch americans-centric File transfer extreme File switch 

On the foundation on the end users/applications, this report covers Banking, financial carrier & assurance (BFSI) Media & enjoyment Retail Manufacturing Telecommunication Others (executive, energy & Utility, advertising and marketing & promoting)

Geographically, this file is segmented into a few key areas, with output/construction, consumption, salary, market share and growth rate of Managed File transfer in these regions, from 2014 to 2025 (forecast), covering united states Europe Japan China India Southeast Asia relevant & South the united states Row

Key Stakeholders Managed File switch manufacturers Managed File switch Distributors/merchants/Wholesalers Managed File switch Subcomponent producers industry association Downstream providers

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most important Key points in table of content material:

1 document Overview 1     1.1 analyze Scope 1     1.2 Key Market Segments 1     1.three gamers coated 2     1.four Market analysis by way of type 3       1.four.1 world Managed File transfer Market size growth expense by classification (2014-2025) 3       1.4.2 equipment-centric File switch 4       1.four.3 individuals-centric File switch 4       1.four.four severe File switch 5     1.5 Market by using utility 6     1.6 examine targets 7     1.7 Years regarded eight 

2 world growth developments 9     2.1 international Managed File transfer Market dimension 9     2.2 Managed File switch increase tendencies by way of regions 9       2.2.1 Managed File switch Market size via areas (2019-2025) 9       2.2.2 Managed File switch Market Share by regions (2014-2019) 10     2.three trade traits 12 

…..

12 Key avid gamers Profiles forty eight     12.1 IBM forty eight       12.1.1 business basic tips, Manufacturing Base, revenue enviornment and Its opponents forty eight       12.1.2 Managed File switch Product Overview 48       12.1.three IBM Managed File transfer salary (Million USD) and Gross Margin (%) (2014-2019) forty nine       12.1.4 leading enterprise/company Overview 50     12.2 Axway 51       12.2.1 enterprise primary advice, Manufacturing Base, earnings enviornment and Its opponents 51       12.2.2 Managed File transfer Product Overview fifty one       12.2.three Axway Managed File switch profits (Million USD) and Gross Margin (%) (2014-2019) 52       12.2.four leading business/company Overview 53     12.three Saison information techniques fifty four       12.three.1 enterprise primary suggestions, Manufacturing Base, earnings area and Its opponents fifty four       12.3.2 Managed File switch Product Overview fifty four       12.3.three Saison tips programs Managed File transfer income (Million USD) and Gross Margin (%) (2014-2019) fifty five       12.3.four leading business/business Overview 56     12.4 Opentext fifty seven       12.4.1 business simple assistance, Manufacturing Base, sales area and Its rivals fifty seven       12.4.2 Managed File switch Product Overview 57       12.4.three Opentext Managed File transfer salary (Million USD) and Gross Margin (%) (2014-2019) fifty eight       12.four.four leading enterprise/enterprise Overview fifty nine     12.5 CA applied sciences 60       12.5.1 company simple assistance, Manufacturing Base, revenue area and Its opponents 60       12.5.2 Managed File switch Product Overview 60       12.5.3 CA technologies Managed File transfer earnings (Million USD) and Gross Margin (%) (2014-2019) sixty one       12.5.four leading business/business Overview sixty two     12.6 Accellion sixty three       12.5.1 enterprise primary assistance, Manufacturing Base, sales area and Its rivals sixty three       12.6.2 Managed File transfer Product Overview sixty three       12.6.3 Accellion Managed File switch salary (Million USD) and Gross Margin (%) (2014-2019) 64       12.6.4 leading enterprise/business Overview 65     12.7 Globalscape 66       12.7.1 business fundamental suggestions, Manufacturing Base, income enviornment and Its opponents 66       12.7.2 Managed File transfer Product Overview 66       12.7.3 Globalscape Managed File switch salary (Million USD) and Gross Margin (%) (2014-2019) sixty seven       12.7.4 main business/business Overview 68     12.eight Primeur 69       12.8.1 business basic guidance, Manufacturing Base, income area and Its rivals 69       12.8.2 Managed File switch Product Overview sixty nine       12.eight.3 Primeur Managed File switch profits (Million USD) and Gross Margin (%) (2014-2019) 70       12.eight.4 leading company/enterprise Overview seventy one     12.9 Jscape seventy two       12.9.1 business basic counsel, Manufacturing Base, income area and Its competitors seventy two       12.9.2 Managed File switch Product Overview seventy two       12.9.three Jscape Managed File transfer salary (Million USD) and Gross Margin (%) (2014-2019) 73       12.9.4 main business/business Overview 74     12.10 Ipswitch 75       12.10.1 business basic counsel, Manufacturing Base, revenue enviornment and Its competitors 75       12.10.2 Managed File transfer Product Overview 75       12.10.three Ipswitch Managed File transfer salary (Million USD) and Gross Margin (%) (2014-2019) seventy six       12.10.4 leading company/company Overview 77 

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Managed File transfer application and repair market forecasts till 2024 just posted | killexams.com Real Questions and Pass4sure dumps

Managed file switch is a type of application that allows transfer of info inside the firm or between assorted groups. This method is a fast, comfy, reliable and transparent approach of exchanging info with additional points akin to tracking and monitoring.

subsequently, you'll be able to discover lack of facts from a particular element and also receive acknowledgement after successful completion of the file switch procedure. With the creation of digitalization, corporations have become heavily stylish on a success transmission of digital info bearing vital guidance.

hence, this transmission should be secure, official and short to run the enterprise process easily in actual time. Demand for productive and advantageous file switch has been increasing during the past few years.

the same style is predicted to continue all the way through the next five to six years.

Enquire extra details of the record at: www.orbisresearch.com/contacts/request-sample/2450627

by means of Market avid gamers:Axway Inc., IBM supplier, Oracle organization, software AG, CA applied sciences Inc., GlobalSCAPE, Inc., Wipro constrained, Swift, Micro focus (Attachmate), Signiant Inc. 

by means of SoftwareSystem- Centric File switch, americans- Centric File switch, excessive-File transfer 

by ServicesImplementation & Integration, Consulting, preservation 

by way of IndustryBFSI, Media & leisure, Retail, Manufacturing, Telecommunication, Others , 

The top purpose of this record is to help the user be aware the market in terms of its definition, segmentation, market talents, influential trends, and the challenges that the market is facing. Deep researches and evaluation have been completed all the way through the instruction of the record.

The readers will discover this document very beneficial in realizing the market in depth. The records and the guidance regarding the market are taken from reputable sources similar to websites, annual experiences of the agencies, journals, and others and were checked and validated by way of the industry specialists.

The records and information are represented in the file the use of diagrams, graphs, pie charts, and other pictorial representations. This enhances the visible illustration and additionally helps in knowing the facts a great deal more desirable.

elements coated in the record:The elements which are mentioned within the record are the predominant market players which are concerned available in the market reminiscent of producers, uncooked fabric suppliers, machine suppliers, end users, traders, distributors and etc.The comprehensive profile of the corporations is mentioned. And the ability, construction, price, profits, can charge, gross, gross margin, sales volume, sales revenue, consumption, increase expense, import, export, give, future techniques, and the technological trends that they're making are also covered within the document.

The historic records from 2012 to 2017 and forecast statistics from 2018 to 2023.The boom components of the market is mentioned in detail in which the distinct conclusion users of the market are explained in aspect.statistics and counsel by way of manufacturer, via area, with the aid of category, via utility and and many others, and customized research can also be brought according to certain requirements.The document carries the SWOT evaluation of the market. eventually, the document incorporates the conclusion half the place the opinions of the commercial consultants are covered.

Key motives to accessTo profit insightful analyses of the market and have comprehensive knowing of the global market and its business panorama.examine the construction processes, principal issues, and options to mitigate the development chance.To remember essentially the most affecting driving and restraining forces available in the market and its affect in the global market.be taught about the market concepts which are being adopted through main respective companies.To understand the longer term outlook and possibilities for the market.anyway the standard constitution studies, we additionally supply customized research in line with specific necessities.

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comfy Managed File transfer | killexams.com Real Questions and Pass4sure dumps

  • Globalscape EFT Cloud Services

    Globalscape EFT Cloud features is a secure file sharing and switch service that runs within the Cloud.

    final analysis Globalscape EFT Cloud functions is a cozy file sharing and transfer service that runs within the Cloud. It generates prefigured and utterly customizable experiences that tune all file actions and community recreation with total visibility in precise time and over distinctive past intervals. It comprises automation equipment that directors can use to save time and reduce errors. EFT Cloud services complies with many security necessities.

    read Full overview
  • Linoma GoAnywhere MFT Standard

    Linoma GoAnywhere MFT usual is managed file transfer (MFT) application that allows you to switch files securely during your company.

    base line Linoma GoAnywhere MFT average is a managed file switch (MFT) answer that makes it less demanding on your company to transfer data, both internally and externally. The utility provides users with wide safety alternatives to assist ensure that records is fully included. with the intention to increase efficiency, GoAnywhere MFT usual also presents the means to strengthen limitless huge workflows that operate immediately, allowing you to direct your time and energy in different places.

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  • MOVEit Managed File Transfer System

    MOVEit Managed File transfer system is file-switch application that means that you can computer screen and manipulate file transfers and dispose of downtimes.

    base line MOVEit Managed File switch system is file-transfer tool that offers organizations with lots of options for the administration and monitoring of file transfers. targeted experiences and analytics may also be generated to come up with greater information about your business’s file transfers, which can be tracked in actual time as neatly. round-the-clock reliability is certain thanks to the utility’s failover capabilities, meaning you received’t run into downtimes or statistics loss.

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  • Coviant Diplomat Managed File Transfer (MFT )

    Coviant Diplomat Managed File switch (MFT) software solutions are designed to automate, integrate, and manage secured file transfers with fewer error and failures to enhance productivity.

    base line Coviant Diplomat Managed File switch (MFT) can provide secured options to enrich the productiveness of file switch directors. Diplomat Managed File switch (MFT) application makes use of clever File transfer design and embedded secure file transfer logic to make certain that file transfer specialists can quickly design and set up file switch jobs with fewer errors and failed transfers.

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  • Accellion Kiteworks

    comfy content management platform that allows businesses to entry, keep, control, and collaborate with content both saved in the cloud, on premises, or a mixture of each

    base line Accellion Kiteworks is a content administration carrier and platform that enables agencies to implement comfy every time, anyplace entry to content material for their employees. As a carrier, Kiteworks permits employees to access and share content from inside and outside the firm’s firewall.

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  • Citrix ShareFile Business

    Citrix ShareFile is a data and file storage and administration service for business. It gives relaxed storage in the cloud, on the customer’s place, or each, in addition to sharing data to cellular and different instruments safely and securely.

    base line Citrix ShareFile permits businesses to comfortable their files and tips safely and securely in the cloud or within the workplace. It allows for for file sharing to mobile instruments devoid of the agonize of a safety breach. personnel and companies can have entry to specific files or folders and provide collaboration on shared information.

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  • Direct FTP

    Direct FTP is an FTP customer that presents file transferring capabilities alongside an internet editor that will also be used to work with quite a few forms of code.

    base line Direct FTP is a powerful FTP client that makes it easier to manage and switch data with an FTP server due to an intuitive interface and a lot of constructive elements which are intended to enhance the FTP journey. File uploads and transfers ensue immediately and with ease with just a few fundamental clicks and drags, streamlining the FTP process and working to increase effectivity and productiveness overall. additionally, Direct FTP offers a web editor that enables users to work with HTML, CSS, JavaScript, and other code, directly from the equal frequent interface.

  • Cornerstone MFT Server

    Cornerstone MFT (Managed File transfer) Server is a managed, file-switch carrier.

    base line Cornerstone MFT (Managed File transfer) Server is a file-transfer provider that can be deployed on website or within the cloud. It has high availability and a couple of layers of security. It offers element-to-element encryption and two-component authentication.

  • SecureFX

    SecureFX makes file transfer and synchronization more cozy and efficient.

    bottom line The tools supplied by way of SecureFX supply a practical answer to problems you may additionally stumble upon when transferring or syncing data to your website. The safety that SecureFX offers ensures that your data aren't lost, corrupted, or stolen.

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  • IBM Managed File Transfer

    IBM Managed File switch is a suite of items that enables agencies to safely and straight away switch data between neighborhood individuals.

    final analysis IBM Managed File switch is a suite of products for businesses with a need to switch information, no matter if it's inside the firm itself, or to different entities in a enterprise-to-business (B2B) transaction. using IBM control middle, IBM Sterling comfy Proxy, IBM Sterling connect:Direct, IBM Sterling File Gateway, and the add-on IBM Aspera high-velocity Add-on for join:Direct, IBM Managed File switch automates and secures the file transfer procedure, and does so sooner than traditional FTP techniques.

  • Mass Transit

    MassTransit through Acronis is a managed file switch (MFT) equipment designed to assist enterprise-sized groups handle huge information switch hundreds securely and reliably, with little effort, and at efficiency quotes greatly faster than many commonplace File switch Protocol (FTP) and Hypertext transfer Protocol (HTTP) file-transfer equipment.

    bottom line MassTransit by means of Acronis is a managed file switch (MFT) device that may support you manage gigantic-scale information transfers securely, reliably, and at facts transfer quotes not available via commonplace transfer protocols like Hypertext transfer Protocol (HTTP) and File switch Protocol (FTP). MassTransit handles very huge file sizes (over a hundred GB), provides unique tracking of information transfers in actual time, and can scale to fulfill the file transfer wants of practically any classification of commercial enterprise. MassTransit comprises administrative points to aid automate file switch processes and enforce workflow management. moreover, end users might also respect the net client interfaces which are designed for ease of use and require minimal practising.

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    The Best Self-Service Business Intelligence (BI) Tools of 2018 | killexams.com real questions and Pass4sure dumps

    Analytics Beyond Spreadsheets

    For many years, Microsoft Excel and other spreadsheets were the tools of choice for business professionals who were looking to visualize their data. But spreadsheets had their limits for many business intelligence (BI)-related tasks. Even today, trying to creating charts analyzing complex datasets in Excel can still be frustrating. Sometimes you start with the wrong kind of data, for example, or you may not know how to manipulate the spreadsheet to create the data visualization{{/ZIFFARTICLE} you need. On the other hand, the rising tide of data democratization is giving everyone in an organization access to corporate data. The need has arisen for effective tools that people of all skill levels can use to make sense of the wealth of information created by businesses every single day.

    Spreadsheets also fall down when the data isn't well-structured or can't be sorted out in neat rows and columns. And, if you have millions of rows or very sparse matrices, then the data in a spreadsheet can be painful to enter and it can be hard to visualize your data. Spreadsheets also have issues if you are trying to create a report that spans multiple data tables or that mixes in Structured Query Language (SQL)-based databases, or when multiple users try to maintain and collaborate on the same spreadsheet.

    A spreadsheet containing up-to-the-minute data can also be a problem, particularly if you have exported graphics that need to be refreshed when the data changes. Finally, spreadsheets aren't good for data exploration; trying to spot trends, outlying data points, or counterintuitive results is difficult when what you are looking for is often hidden in a long row of numbers.

    While spreadsheets and self-service BI tools both make use of tables of numbers, they are really acting in different arenas with different purposes. A spreadsheet is first and foremost a way to store and display calculations. While some spreadsheets can create very sophisticated mathematical models, at their core it is all about the math more than the model itself.

    This is all a long-winded way of saying that when businesses use a spreadsheet, they are actively sabotaging themselves and their ability to consistently get valuable insights from their data. BI tools are specficially designed to help businesses better understand their data, and can prove to be a huge benefit to those upgrading from what a limited spreadsheet can do.

    What Is Business Intelligence?

    Defining BI is tricky. When you examine what it does and why companies use it, it can start to sound vague and nebulous. After all, many different kinds of software offer analytics features, and all businesses want to improve. Understanding what a BI is or isn't can be unclear.

    BI is an umbrella term meant to cover all of the activities necessary for a company to turn raw information into actionable knowledge. In other words, it's a company's efforts to understand what it knows and what it doesn't know of its own existence and operations. The ultimate goal is being able to increase profits and sharpen its competitive edge.

    Framed that way, BI as a concept has been around as long as business. But that concept has evolved from early basics [like Accounts Payable (AP) and Accounts Receivable (AR) reports and customer contact and contract information] to much more sophisticated and nuanced information. This information ranges across everything from customer behaviors to IT infrastructure monitoring to even long-term fixed asset performance. Separately tracking such metrics is something most businesses can do regardless of the tools employed. Combining them, especially disparate results from metrics normally not associated with one another, into understandable and actionable information, well, that's the art of BI. The future of BI is already shaping up to simultaneously broaden the scope and variety of data used and to sharpen the micro-focus to ever finer, more granular levels.

    BI software has been instrumental in this steady progression towards more in-depth knowledge about the business, competitors, customers, industry, market, and suppliers, to name just a few possible metric targets. But as businesses grow and their information stores balloon, the capturing, storing, and organizing of information becomes too large and complex to be entirely handled by mere humans. Early efforts to do these tasks via software, such as customer relationship management (CRM) and enterprise resource planning (ERP), led to the formation of "data silos" wherein data was trapped and useful only within the confines of certain operations or software buckets. This was the case unless IT took on the task of integrating various silos, typically through painstaking and highly manual processes.

    While BI software still covers a variety of software applications used to analyze raw data, today it usually refers to analytics for data mining, analytical processing, querying, reporting, and especially visualizing. The main difference between today's BI software and Big Data analytics is mostly scale. BI software handles data sizes typical for most organizations, from small to large. Big Data analytics and apps handle data analysis for very large data sets, such as silos measured in petabytes (PBs).

    Self-Service BI and Data Democratization

    The BI tools that were popular half a decade or more ago required specialists, not just to use but also to interpret the resulting data and conclusions. That led to an often inconvenient and fallible filter between the people who really needed to get and understand the business—the company decision makers—and those who were gathering, processing, and interpreting that data—usually data analysts and database administrators. Because being a data specialist is a demanding job, many of these folks were less well-versed in the actual workings of the business whose data they were analyzing. That led to a focus on data the company didn't need, a misinterpretation of results, and often a series of "standard" reporting that analysts would run on a scheduled basis instead of more ad hoc intelligence gathering and interpretation, which can be highly valuable in fast-moving situations.

    This problem has led to a growing new trend among new BI tools coming onto the market today: that of self-service BI and data democratization. The goal for much of today's BI software is to be available and usable by anyone in the organization. Instead of requesting reports or queries through the IT or database departments, executives and decision makers can create their own queries, reports, and data visualizations through self-service models, and connect to disparate data both within and outside the organization through prebuilt connectors. IT maintains overall control over who has access to which tools and data through these connectors and their management tool arsenal, but IT no longer acts as a bottleneck to every query and report request.

    As a result, users can take advantage of this distributed BI model. Key tools and critical data have moved from a centralized and difficult-to-access architecture to a decentralized model that merely requires access credentials and familiarity with new BI software. This results in a whole new kind of analysis becoming available to the organization, namely, that of experienced, front-line business people who not only know what data they need but how they need to use it.

    The emerging crop of BI tools all work hard at developing front-end tools that are more intuitive and easier to use than those of older generations—with varying degrees of success. However, that means a key criteria in any BI tool purchasing decision will be to evaluate who in the organization should access such tools and whether the tool is appropriately designed for that audience. Most BI vendors indicate they're looking for their tool suites to become as ubiquitous and easy to use for business users as typical business collaboration tools or productivity suites, such as Microsoft Office. None have gotten quite that far yet in my estimation, but some are closer than others. To that end, these BI tool suites tend to focus on three core types of analytics: descriptive (what did happen), prescriptive (what should happen now), and predictive (what will happen later).

    What Is Data Visualization?

    In the context of BI software, data visualization is a fast and effective method of transferring information from a machine to a human brain. The idea is to place digital information into a visual context so that the analytic output can be quickly ingested by humans, often at a glance. If this sounds like those pie and bar charts you've seen in Microsoft Excel, then you're right. Those are early examples of data visualizations.

    But today's visualization forms are rapidly evolving from those traditional pie charts to the stylized, the artistic, and even the interactive. An interactive visualization comes with layered "drill downs," which means the viewer can interact with the visual to reach more granular information on one or more aspects incorporated in the bigger picture. For example, new values can be added that will change the visualization on the fly, or the visualization is actually built on rapidly changing data that can turn a static visual into an animation or a dashboard.

    The best visualizations do not seek artistic awards but instead are designed with function in mind, usually the quick and intuitive transfer of information. In other words, the best visualizations are simple but powerful in clearly and directly delivering a message. High-end visuals may look impressive at first glance but, if your audience needs help to understand what's being conveyed, then they've ultimately failed.

    Most BI software, including those reviewed here, comes with visualization capabilities. However, some products offer more options than others so, if advanced visuals are key to your BI process, then you'll want to closely examine these tools. There are also third-party and even free data visualization tools that can be used on top of your BI software for even more options.

    Products and Testing

    In this review roundup, I tested each product from the perspective of a business analyst. But I also kept in mind the viewpoint of users who might have no familiarity with data processing or analytics. I loaded and used the same data sets and posed the same queries, evaluating results and the processes involved.

    My aim was to evaluate cloud versions alone, as I often do analysis on the fly or at least on a variety of machines, as do legions of other analysts. But, in some cases, it was necessary to evaluate a desktop version as well or instead of the cloud version. One example of this is Tableau Desktop, a favorite tool of Microsoft Excel users who simply have an affinity for the desktop tool (and who just move to the cloud long enough to share and collaborate).

    I ended up testing the Microsoft Power BI desktop version, too, on a Microsoft representative's recommendation because, as the rep said, "the more robust data prep tools are there." Besides, said the rep, "most users prefer the desktop tool over a web tool anyway." Again, I don't doubt Microsoft's claim but that does seem weird to me. I've heard it said that desktop tools are preferred when the data is local as the process feels faster and easier. But seriously, how much data is truly local anymore? I suspect this odd desktop tool preference is a bit more personal than fact-based, but to each his own.

    Then there's Google Analytics, a pure cloud player. The tool is designed to analyze website and mobile app data so it's a different critter in the BI app zoo. That being the case, I had to deviate from using my test data set and queries, and instead test it in its natural habitat of website data. Nonetheless, it's the processes that are evaluated in this review, not the data.

    While I didn't test any of these tools from a data scientist's role, I did mention advanced capabilities when I found them, simply to let buyers know they exist. IBM Watson Analytics is one tool with the ability to extend to highly advanced features and was also one of the easiest to use upfront. IBM Watson Analytics is well-suited for business analysts and for widespread data democratization because it requires little, if any, knowledge of data science. Instead, it works well by using natural language and keywords to form queries, a characteristic that can make it valuable to practically anyone. It's highly intuitive, very powerful, and easy to learn. Microsoft Power BI is a strong second as it, too, is powerful while also familiar, certainly to any of the millions of Microsoft business users. However, there are several other powerful and intuitive apps in this lineup from which to choose; they all have their own pros and cons. We'll be adding even more in the coming months.

    One thing to watch out for during your evaluations of these products is that many don't yet handle streaming data. For many users, that won't be a problem in the immediate future. However, for those involved with analyzing business processes as they happen, such as website performance metrics or customer behavior patterns, streaming data can be invaluable. Also, the Internet of Things (IoT) will drive this issue in the near future and make streaming data and streaming analytics a must-have feature. Many of these tools will have to up their game accordingly so, unless you want to jump ship in a year or two, it's best to think ahead when considering BI and the IoT.

    BI and Big Data

    Another area in which self-service BI is taking off is in analyzing Big Data. This is a newer development in the database space but it's driving tremendous growth and innovation. The name is an apt descriptor because Big Data generally refers to huge data sets that are simply too big to be managed or queried with traditional data science tools. What's created these behemoth data collections is the explosion of data-generating, tracking, monitoring, transaction, and social media tools (to name a few) that have become so popular over the last several years.

    Not only do these tools generate loads of new data, they also often generate a new kind of data, namely "unstructured" data. Broadly speaking, this is simply data that hasn't been organized in a predefined way. Unlike more traditional, structured data, this kind of data is heavy on text (even free-form text) while also containing more easily defined data, such as dates or credit card numbers. Examples of apps that generate this kind of data include the customer behavior-tracking tools you use to see what your customers are doing on your e-commerce website, the piles of log and event files generated from some smart devices (such as alarms and smart sensors), and broad-swath social media tracking tools.

    Organizations deploying these tools are being challenged not only by a sudden deluge of unstructured data that quickly strains storage resources [think beyond terabytes (TB) into the PB and even exabyte (EB) range] but, even more importantly, they're finding it difficult to query this new information at all. Traditional data warehouse tools generally weren't designed to either manage or query unstructured data. New data storage innovations such as data lakes are emerging to solve for this need, but organizations still relying exclusively on traditional tools while deploying front-line apps that generate unstructured data often find themselves sitting on mountains of data they don't know how to leverage.

    Enter Big Data analysis standards. The golden standard here is Hadoop, which is an open-source software framework that Apache specifically designed to query large data sets stored in a distributed fashion (meaning, in your data center, the cloud, or both). Not only does Hadoop let you query Big Data, it lets you simultaneously query both unstructured as well as traditional structured data. In other words, if you want to query all of your business data for maximum insight, then Hadoop is what you need.

    You can download and implement Hadoop itself to perform your queries, but it's typically easier and more effective to use commercial querying tools that employ Hadoop as the foundation of more intuitive and full-featured analysis packages. Notably, most of the tools reviewed here, including Chartio, IBM Watson Analytics, Microsoft Power BI, and Tableau Desktop, all support this. However, each requires varying levels of configuration or even add-on tools to do so—with IBM, Microsoft, and Tableau offering exceptionally deep capabilities. However, both IBM and Microsoft will still expect customers to utilize additional tools around aspects such as data governance to ensure optimal performance.

    Finding the Right BI Tool

    Given the issues spreadsheets can have when used as ad hoc BI tools and how firmly ingrained they are in our psyches, finding the right BI tool isn't a simple process. Unlike spreadsheets, BI tools have major differences when it comes to how they consume data inputs and outputs and manipulate their tables. Some tools are better at exploration than analysis, and some require a fairly steep learning curve to really make use of their features. Finally, to make matters worse, there are dozens if not hundreds of such tools on the market today, with many vendors willing to claim the self-serve BI label even if it doesn't quite fit.

    Getting the overall workflow down with these tools will take some study and discussion with the people you'll be designating as users. Tableau Desktop and Microsoft Power BI, for example, will start users out with the desktop version to build visualizations and link up to various data sources. Once you have this together, you can start sharing those results online or across your organization's network. With others, such as Chartio or Google Analytics, you start in the cloud and stay there.

    In recent years, companies have been taking advantage of the wide selection of online learning platforms out there to train their employees on using these platforms. As intuitive as these platforms may be, it is important to make sure that your employees actually know how to use these BI platforms so that you can make sure your investment was worthwhile. There are many ways of approaching this, but using the right online learning platform might be a good place to start looking.

    Given the wide price range of these products, you should segment your analytics needs before you make any buying decision. If you want to start out slowly and inexpensively, then the best route is to try something that offers significant functionality for free, such as Microsoft Power BI. Such tools are very affordable and make it easy to get started. Plus, they tend to have large ecosystems of add-ons and partners that can be a cost-effective replacement for doing BI inside a spreadsheet. Tableau Desktop still has the largest collection of charts and visualizations and the biggest partner network, though both IBM Watson Analytics and Microsoft Power BI are catching up fast.

    IBM Watson Analytics scored the highest, and Microsoft Power BI and Tableau Desktop scored the next highest in our roundup. However, all three products received our Editors' Choice award. Tableau Desktop may have a big price tag depending on which version you choose but, as previously mentioned, it has an exceptionally large and growing collection of visualizations plus a manageable learning curve if you're willing to devote some effort to it. Microsoft Power BI and Tableau Desktop also have large and growing collections of data connectors, and both Microsoft and Tableau have their own sizable communities of users that are vocal about their wants and needs. This can carry a lot of weight with the vendors' development teams so it's a good idea to spend some time looking through those community forums to get an idea where these companies are headed.

  • Pros: Extremely user-friendly. Fantastic automatic report generation. Impressive support availability.

    Cons: Automated reports can quickly become defaults. Steep learning curve that might confuse beginners.

    Bottom Line: Zoho Reports is a solid option for general business users who might not be knowledgeable in analytics software. It's also available at an attractive price.

    Read Review
  • Pros: Accessible user interface. Smart guidance features. Impressively fast analytics. Robust natural language querying.

    Cons: Unable to do real-time streaming analytics.

    Bottom Line: IBM Watson Analytics is an exceptional business intelligence (BI) app that offers a strong analytics engine along with an excellent natural language querying tool. This is one of the best BI platforms you'll find and easily takes our Editors' Choice honor.

    Read Review
  • Pros: Extremely powerful platform with a wealth of data source connectors. Very user-friendly. Exceptional data visualization capabilities.

    Cons: Desktop and web versions divide data prep tools. Refresh cycle is limited on free version.

    Bottom Line: Microsoft Power BI earns our Editors' Choice honor for its impressive usability, top-notch data visualization capabilities, and superior compatibility with other Microsoft Office products.

    Read Review
  • Pros: Enormous collection of data connectors and visualizations. User-friendly design. Impressive processing engine. Mature product with a large community of users.

    Cons: Full mastery of the platform will require substantial training.

    Bottom Line: Tableau Desktop is one of the most mature offerings on the market and that shows in its feature set. While it has a steeper learning curve than other platforms, it's easily one of the best tools in the space.

    Read Review
  • Pros: Bottlenecks are eliminated thanks to in-chip processing. Impressive natural language query in third-party applications.

    Cons: Might be too difficult for self-service business intelligence (BI). Analytics process still needs to be ironed out. Natural language capability can be limited.

    Bottom Line: Sisense is a complete platform that should be popular for experienced BI users. It may fall short for beginners, however.

    Read Review
  • Pros: Wide range of connectors. Impressive sharing features. Limitless data storage.

    Cons: User interface is not intuitive. Steep learning curve. Unwelcoming to new analysts.

    Bottom Line: Domo isn't for newcomers but for companies that already have business intelligence (BI) experience in their organization. Domo's a powerful BI tool with a lot of data connectors and solid data visualization capabilities.

    Read Review
  • Pros: Exceptional platform for website and mobile app analytics.

    Cons: Customer support has way too much automation. Focus on marketing and advertising can be frustrating to users. Relies mostly on third parties for training.

    Bottom Line: Due to its brand recognition and the fact that it's free, Google Analytics is the biggest name in website and mobile app intelligence. It has a steep learning curve but it is an awesome business intelligence tool.

    Read Review
  • Pros: Designed with general business users in mind. Solid return on investment.

    Cons: The data you can use is limited. Needs additional platform to connect.

    Bottom Line: The Salesforce Einstein Analytics Platform is designed for customer, sales, and marketing analyses, although it can server other needs, too. Its powerful analytics capabilities along with its solid natural language querying functionality and a wide array of partners make it an attractive offering.

    Read Review
  • Pros: Real-time analytics for Internet of Things (IoT) and streaming data features. Massive ecosystem with plentiful extenders. Responsive pages make mobile publishing easiest. Impressive storytelling paradigm. Centralized view with consolidated analytics.

    Cons: Data prep features are lacking. Confusing toolbar design. Not friendly for beginners.

    Bottom Line: If your business already uses SAP's HANA database platform or some of its other back-end business platforms, then SAP Analytics Cloud is a powerful, well-priced choice. But be warned that there's a steep learning curve and a noted dependence on other SAP products for full functionality.

    Read Review
  • Pros: Impressive processing engine. Powerful query optimization on SQL. Entirely web-based. Complex queries are handled very well.

    Cons: Poorly designed user interface. Steep learning curve.

    Bottom Line: Chartio excels at building a powerful analytics platform that experienced business intelligence (BI) users will appreciate. Those new to BI, however, will find it very difficult to use.

    Read Review
  • Pros: Very deep SQL modeling ability. Uses Git for version management and collaboration.

    Cons: Very expensive. Not for small teams.

    Bottom Line: Looker is a great self-service business intelligence (BI) tool that can help unify SQL and Big Data management across your enterprise.

    Read Review
  • Pros: Custom access roles. Solid collection of public data online.

    Cons: Complex pricing is a deterrent.

    Bottom Line: Qlik Sense Enterprise Server is a self-service business intelligence (BI) tool that delivers the best collection of user access roles among the BI tools we tested, and also demonstrates a promising start towards integrating Data-as-a-Service (DaaS).

    Read Review
  • Pros: One of the largest collections of data connectors. Many granular access roles.

    Cons: No free trial available. Training webinars can be costly.

    Bottom Line: The company's Focus query language is showing its age but Information Builders' self-service business intelligence (BI) tool WebFocus nevertheless has some powerful analysis features.

    Read Review
  • Pros: Very easy to get started. Nice team management and collaboration features.

    Cons: The cloud version has a subset of features found in Windows version. Online documentation could be improved.

    Bottom Line: While Tibco is still making the transition from a desktop to a cloud software vendor, its self-service business intelligence (BI) tool Tibco Spotfire is a great way to start visualizing your Excel data.

    Read Review
  • Pros: Excellent analytical support for Intuit QuickBooks. Very easy setup.

    Cons: Installation and setup is a bit of chore. No support for Intuit QuickBooks' online versions.

    Bottom Line: Clearify QQube is the best self-service business intelligence (BI) tool for in-depth analysis of your Intuit QuickBooks files, though you'll need to look elsewhere for broader BI tasks.

    Read Review

  • The Ottawa Journal from Ottawa, · Page 2 | killexams.com real questions and Pass4sure dumps

    140,000 Men Already Drafted For Service in Canadian Army Total Now Exceeds In First Great War, Two years after Canada took the first step$ in compulsory sen,-ice for the Second Great War, upwards of 140,000 men have been delivered to and accepted by isauonai war services uepartmem. . ; ; ; ?.- a -. ... - . This total exceeds by 15,000 or aiore the total number conscripted In the First Great War and it does not .include the figures for August and September, the two heaviest months for. call-ups since. thet drafting of men began a few months after the 'fallof France, y. " :, '.- Men were conscripted in the First Great War for overseas service while those drafted in this war are called for home defence only. However, an amendment to the National Resources Mobilization Act, passed at the recent session of Parliament, gave the Government power tW impose overseas conscription by Order-in-CounciT if and iwhen it sees fit. A a rust Returns Incomplete.. The Department of National Defence requisitioned 25,000 men for August and 20,000 for Sep- tember. Returns lor August are not complete and it is not yet known to what extent calls issued fall short of or exceed the objective of 25,000 fit men. The total of more than 140,000 is arrived at with returns for July partially complete. The total up to the end of June was 135,880. The July requisition was' 15,000 men, but a final count has not ret been 'made of the, number delivered oh that requisition. Tho?e liable to call under present regulations are single men and childless widowers aged 20' to 40. Men have been called by the Department of National War Services on the1 basis of the 1940 National Registration. Thus, while power to impose compulsory service was conferred by the passage of the National Resources Mobilization Act in June, 1940, the Nar tional Registration marked the' first step in its practical application. The first men reported for training several months later. ThougH men called up compul-orily are not required to serve outside Canada,' officials report that between 35 and 40 percent, of those who enter the army on call volunteer for service anywhere in the world. Administration of the compulsory system is under the. direction nf Major-Gen. L. R. LaFIeChe.j Associate Deputy Minister' Of National War Services, who, says "the nystem has worked smoothly., and the men have been obtained without disturbances or clashes. Problem for ftfficlais. One of the problems oi call-up officials is to keep paee with the men who enlist v&kintarily before they are required to report for service. Thejrhave to call a larger' number efmen than they otherwise would, in. the first instance, to- allow for those who have en- jisiea oi ineir own accord since registratioVi and who fail to report their enlistment to registration officials. They also have to estimate and allow for the number who will enlist voluntarily as soon as they, receive their call-up notice and before the time set, for them to report. .. Officials estimate . that since compulsory service started some SO.000 men called up have enlisted voluntarily before responding their call but after receiving notice. By so doing they have the satisfaction of saying they entered the service as volunteers and they also have somewhat more choice over the branch of the service in which they will serve. Men with an eye to the navy or the 'air force, for instance, often volunteer lest they might find it difficult to transfer from the army once in the land force, Under the Military Service Act, the compulsory law of the First Great War. 124,588 men were delivered to the army but under the system in use then some of these were allowed to return to their homes for waf work or other rea- PARFINOL 2 Sixes 4 K(. 9e 39c 69c TA.MBL.YM OKCO STORES . " 1U Bnk St. 1M Sparkf SU S-1S2S Z-W21 TREK CITt-WIDt DELIVERY J. D. Sanderson Co. Contractor! for Roofing Asphalt Shingling . Sheet Metal Work ' X ' 575 McLeod Street (-3125 WJLsojys liCiALiLil XLkLtLt One pad kills flies all day and every day for tut 3 weeks. 3 pads in each packet. Noapraytag. no stickiness, no bad odor Ask your Druggist. Grocery or General Store. 40 CENTS PER PACKET WHY PAY MORE? PLUMBING : HEATING ASBESTOS INSULATION REFRIGERATION AIR-CONDITIONING CALL 2-7315 Number Drafted Government Reveals the .army, it waalearaed today at sons and never : actually 1 started training. It was estimated 51,000 of the First Great War draftees went overseas. ', ' . . Under the system in use nowi all claims for postponement of ser vice on grounds of hardship, work on farms or in war industries are dealt with before7 the men enter the service. Thus, the figure of 140,000 represents the number who entered army training cen tres. ' : --- j Liable to Call. , ' ;'' Some of them were those -who started their military service under the 30-day training plan- of 1940. Upon completing ithetfr 30 days" training they became liable. to recall, .and most of them have been recalled Jfor service for the duration of the. war. Men called up for training in this war receive the same training as those who volunteer for service anywhere. Thus they-form a re serve of manpower - available for overseas service should. the Government Act under the power conferred by this year's: amendment of the National Resources Mobilization 'Act. .--'v;XX;-- '"- i' U.S. Bombers Blast Jap Installations ina,Al (BUP) American ombing 'planes blasted Japanese installa tion, barracks, airfields and railway stations at Nanchang and Yochowr today and shot down three of .the Japanese 'planes that tried intercept them, i it was an nounced. . . ... ' I ; " " : A low. level bombing attack on Hankow in which at least ' two fires,, were started - was announced in a statement at Chungking. ' ( The Nanchang raid carried the Americans into the heart of the Japanese area from which the enemy has been trying to push' southeastward through Linchwan, and south westward toward Chang- sha and eventual control of t! railway running from Hankow south to Canton on the ChinaSea. Free Medical Check For Toronto Students TORONTO, Aug. 11. CP) Secondary .school students here will receive free dental and medi cal inspection next year ' for the first time as a result of an' azree- ment madeyesterday by the To ronto Board of Education and Board-of Health. ; , ... X Cost of the plan was estimated at $20,000 yearly. 7 Traffic Court For driving an. automobile without an operator's permit: Manuel Zarrage, 297 Nicholas street, $10 and $'1 costs. For dnving through a red light: William J. Harmer, 405 - Big in street, $4 and $1 costs. For obstructing traffic: George Ritchie, 115 Arlington avenue; Ormie Ker, Box 361, . Ottawa, $4 and $1 costs. For making an unlawful left turn: Lucien Groulx, 229 Laval street, $4 and $1 costs. For failing to observe tf stop- street sign: Norman Lancaster, $4 and $1 costs. ,-- ; For illegal- parking: Bernard Morris, 464 Somerset street west; Ian McMillan, 232 Third avenue; Frank Cody, 465 McLeod street; Henry feruce, 216 Clemow Avenue, $2 aadfl costs. ERASE TWAIN'S BIRTHPLACE. FLORIDA, Mo., Aug. 11. The birthplace of Samuel L. Clemens, creator of Huckleberry Finn and Tom Sawyer, has been erased from the postal map. The Government said this East-Central Missouri hamlet did : not . handle -enough mail to justify a post office. ; TO PROTECT SERVICE MEN. . NEW YORK, Aug.. 11. Orders to arrest prostitutes on sight were issued today by. Police Commis sioner Lewis J. -Valentine to 601 ranking police officials in a drive to protect" service men from contracting venereal diseases while in New, York. S . , r. AIRMAN DROWNS. SEATTLE, Aug. ll-(ff-Otto w. Johnson, member of the, Royal Canadian Air Force, from Jarvis, Ont, drowned lastNiighK while swimming in front of theNLake Washington home of ax sister, I whom he was visiting. The bodyJ was recovered in 20 feet of water. PROBE BRIDGE FIRE. FLORENCE VTT ,T .K, : N3, Aug. 10. Royal Canadian. Mounted Police are investigating a fire found in the single wooden span of a steel highway ondge across the St John river here. A motorist saw the fire and extinguished it 4 v :- WESTERN" HUNTING SEASON. REGINA, Aug. 10. Gasoline and rubber ' restrictions . are expected to account for a decrease in the number of United States hunters who will visit ' Saskatchewan this Fall but officials of the game branch . say numerous "inquiries have been received from U.S. sportsmen and a fairly representa tive group can be expected when the season opens. Saves 100 Million i.' ii - .Government' Buildings (Lead Way - To Save Fuel --:,- : . t Leading the way In conservation of fuel oil for heating purposes, the Dominion Department, of Pub-lie Works . is engaged on a. plan of converging oil-burning' to- coal-burning furnaces in every public building in Canada which .used, oil last Winter, i x '.";- - U v -i-- In ' Ottawa the process of con verting oil to. coal is well advanced. Oil furnaces in the Hunter Building, the Daly Building . the National Museum, the 'National Research ' Council and the Royal Mint, have been dismantled and are being replaced by coal-burn ing equipment In addition, some 20 oil-burning) units at the Cen tral - experimental Farm, and others at? the Health of tAnIr mals Research .Station T on , the Mountain Roadv are being con verted. , . X '; Mint Not Changing, f Special - permission to continue the use of fuel oil for blast-furnaces refining gold has been accorded the Royal Mint, since, a change from oil to coal would be uneconomic and might interfere with 'accurate ' metallurgical processes. Amount of oil used by these furnaces is said to bef inconsiderable. ;X '' X . Many of the principal Govern ment buildings in Ottawa have al ways been heated by coal. The Centre, West and East blocks of the Parliament Buildings, the Confederation and Justice Buildings. the four Temporary War Build ings on Wellington street and the rLangevin Block and Post Office, are neatea from the Central Heating plant on old Vittoria street The National Defence Department buildings and the Jackson Building are also coal-heated. - : ' Changes in Pforresa. ; j Similar . alterations of Govern ment-owned heating plants are . in progress all across Canada,. Oil units afe being replaced by coal in Government buildings in Vancouver, Halifax, St John, N3.; Quebec, Montreal and centres in Western Ontario. While no' definite estimate of the cost of conversion has -been disclosed, it' is believed to be -upwards of i quarter of a million dollars. X:r ' X Manufacturing plants, commer cial and public "buildings, hotels and apartments are falling in line with the Oil Controller's order to convert their furnaces from oil to coal. There's no option about it, and. excepti' in very unusual cases, no exemptions are granted. "When, and how. they. ..convert from oil to other fuel is their own concern", a spokesman- of the De partment of Munitions and Supply said. "We notified t commercial users of fuel oil that they couldn't get any fuel oil- for the coming season; it's convert or else " The Department estimates that upwards f 100,090,00t gallons ef fuel U will be saved tktfengh conversion from eft te- eoaL This saving is vitally important and represents upwards ef 25 percent f the .total quantity oi oU used for heating and industrial par- poses in mo and 194L It i estimated that Ottawa's consumption of fuel oil will be cut by upwards of 60 percent by the conversion of oil-burning to coal- burning furnaces. In 1940, Ottawa used 6,758,528 gallons of fuel oil for heating purposes, "used by z,zi3 customers. The 1941 figures Show only a minor increase.! Russr British Visits :1 r TORONTO, Aug. 11.. fi Members of the Toronto Labor Council last night passed a resolution urging British and Russian trade union members to come to Canada and hold public meetings throughout the .' Dominion with Canadian workers. --: The resolution will be sent to the newly-formed Anglo-U.S.R. Trade Union Council in Britain. Purpose of the proposed meetings would be "to help speed up war production and accelerate recruiting for our armed forces and to cement the unity of the United Nations , : - -y '. The resolution also proposed af filiation of the Canadian Congress of Labor with the Anglo-UJt Tnce union Council, and recota mended the Dominion Government be asked to lift the Defence of Canada ban on the Communist Party in Canada. 4 NATURAL DEATH VERDICT. MONTREAL, ' Aug. 10-A verdict of "natural death" was returned at the morgue here today in the case of Lucien shnfct, four, who became ill and died after eating a meal of unripe cucumbers.' 'U0-13T BIDEAtKfT. -.. , AUGUST SALEn FUR COATS AND CLOTH COATS Gallons of Oil - HIS mmm;. V2 . t J ' 7. 7 THE The' 'Beaver's1 x' ; I , i- 3 I 1 : y -". jj - Dr. Edouaxd Benes, left, president of Czecboslpvakia-in-exile, shakes hands with Wing Commander Max Aitken, son of Lord Beiverbrook, after Beneshad bestowed the Czechoslovak ar. Cross, 1939, on, hiin. Another recipi-' ent of the cross' was Squadron teade J. A. F. MacLacblan, centre.the one-armed night fighjM , who, with his : flying partner, has accounted for ,22 enemy' aircraft ' P'T- x Ordered in Britai LONDON, Aug. 11- K Food Minister, Lord Woolton ordered plainer living tccay, to the point of eating fewer cookies and more potatoes, to conserve - shipping space for"more vigorous prosecution of the war". Cookies will be rationed after August 43, potato consumption will Je , encouraged : and bakers will be asked to use' less sugar and dried fruits. To ease the restrictions the weekly sweet ration will be Increased from two to three ounces. X - liord Woolton explained . that additional - ration reductions had been averted by Importation of a 1 ....... (. lu.l V dried eggs and the adoption of a standardized loaf of bread. 1 -T-. Hull Judge Rebukes Excise Branch : - ".- .' ' ': : "The Excise Branch of the Department of National Revenue should provide itself with counsel when It prosecutes ii such cases", Judge H. Achlm stated In Hull Magistrate's Court today. Judge Achim's remarks were made after Joseph St. :Arnaud, 82-year-olc . resident " of Val Pa-quin, had pleaded guilty to a charge of 'being in possession of illicit liquor. ? : ": - ' . ? - The ' Government shouldn't . ex pect R.C.MJ. officers to present cases in court, Judge Achlm added. as he-allowed the accused, to go free ' on suspended sentence, t St. Arnaud was arrested last June ; 13, by R.C.MJ. ' Constable A. -P. Jlobichaud when a quantity ef moonshine was found in his possession. Points Danger of Herbs As Tea, Coffee Subs -' TORONTO, Aug. 11. B People who brew unknown shrubs and weeds" as substitutes foK tea and coffee may not live to worry! after, T. K. Wade, Tea Administrator .for. the Wartime Prices and Trade Board .said her today. "i rom - time immemorial we have had herbs bt they have never taken the place of tea or coffee", he said. "I think people should be warned against brew ing beverages from these plants- otherwise they are likely to wind up in a coffin." : SOME BLONDE! PORT DEVENS, Mastf.. Aug. 11. Returning from a Boston leave, rte. virgii r.. Reed waxed so elo quent in describing a Back Bay blonde to his buddies 'that he dis located his jaw. , ' PREPARE RATION BOORtS. . WINNIPEG, Aug. 10. Twelve million permanent ration coupon books for tea, coffee and sugar are being -prepared for distribution shortly, , O. W. Rodomar, deputy supervisor of rationing for Canada, said here today. - iiiuium !l::IihCre:d Ql Phone 8-0400 L STANDARD 0nAD - Ceatpaay, Uadtt GET, THAT, WEW ROOF 2H. w-ki rree ON EAST aU typ ooollnf . PATMENTS Lonrey & O'Ccnncr M Biehmoad B4. O.W. ' PhoM S-2201 cur.ir.iiNG & HA HONEY X Aathorteed Dealers for. 7 WESTINGHGUSE - StemiOKBATOKS. RADIOS k - STOVES. WASUKBS, ETC. 225 BANK ST. . 2-1193 f Son Decorated Require Kaiser To Give Details Qf'Sky Freighters' .WASHINGTON,. Aug. 10. Chairman Donald. M. Nelson of the War. Production Board- tonight gave Henry J". Kaiser a lettei auth orizing the Pacific : coast shipbuilder to submit a report showing engineering . plans, facilities . and materials to be used In V building If Kaiser's report shows that construction ' of the 70-ton flying boats -will not -interfere with the combat-plane program, Nelson said, it is "expected that a contract for the construction of the planes will be negotiated". The letter was not a. "letter of Intent", which, is a valid govern ment commitment for the start of. production. , Friday Nelson said a letter of intent was being prepared, conditional upon Kaiser's ability to carry out the project without cut ting into bomber or other aircraft output . : - . v The letter j which actually was Sven Kaiser carried, considerably ss force, and it did hot mention the navy as1 the agency for which the planes actually Svould be built although this, was the original pro- if Admits stealing chair. Lionel Labtecque, 88 Carruthers street, and Royal Joan Use, i a sailor, of 188 xHlnchey avenue. both of Ottawa; pleaded guilty to a charge of stealing a rocking chair from the porch of J. A. Anderson,-11 Main street, Hull, and were fined $1 and costs by Judge H. Achim today. Suggesting a minimum fine, Crown Attorney Caron pointed out to the. court that the two accused were under the Influence of liquor when the offense was committed, WATCH DEMONSTRATIONS. SOMEWHERE IN ENGLAND, Aug. 11. (CW Lt-Gen. Kenneth Stuart, Chief of the 'Canadian General Staff, and Lt-Gen. A. G. L. McNaughton, Army Commander, with senior officers of Canadian Military Headquarters, spent today watching demonstrations of British chemical warfare equip- ment .' , . .. ADMITS CAUSING DAMAGE. : Pleading guilty to a charge of wilfully damaging property, Rene Laliberte, of Brownsburg, and his brother, . Alphonse Laliberte, of Petawawa, were sentenced to pay court costs when they appeared before - Judge H. Achim in Hull Magistrate's Court today. The two accused a -month ago kicked' in' the window of a hotel owned by Gustave Danls, of St Andre d'Avelln, and were- arrest ed by High Constable A. Ricard. J. Noel Beauchamp. K.C de fence counsel, told the court that a settlement had been made for damages.--: : ' - SCOTTISH EDITOR DDIS. ' DUNDEE, , Scotland, Aug. ' 11. CP) Alexander Urquhart, 75. joint editor Of the Dundee Courier and Advertiser, died here. -, .PTNDS LONG. LOST RING. ; CAP ST.'-IGNACE, Que, Aug. 10. Mrs. Eugene Lacombe lost a ring here some 22 years ago. Today she found it in a potato field. . "' . BRITISH ttP. DDSS. ALTON, Hampshire, Eni Aug. 11. KF CoL W. G. Nicholson, Member ' of ' Parliament for East Hampshire from 1897 until 1933, died at 80 years of age. Dances a Jig On 76th Birthday A birthday party of interest was hekMn Richmond iecent-; ly, hen David Brown celebrated his 78th birthday on the same farm- he was born on. Alsot celebrating, his birthday at, the same party was his nephew, Davtd Garland. - More than 40 descendants were present In spite of his i years, Mr. Brown is still able to dance a jig. A presentation : 'was made to both of them by , - Misses Minnie and Anna Gar- ' land, on behalf of the gather lanaaian mot -v.r-r PickfUp4. -From Desert Victory - CAIRO, Aug. - 1WBOT1 A! Canafltaiy pilot ofneer. tn the ILAJ'. was 4 richer todayand the Luftwaffe one 'plane poorer as a result of a little ."sporting proposition" the Z airman . made during the . long aeayafe out PO. J. E. Loree, of Guelph, Ont I spent Bburs during the trip dis cussing with two other. Canadian airtnen and a pair of flyers their anticipations of what desert fighting would be rlike. Each 'of the live was confident he would be tfie first to down a Nazl 'plane, and,' at Loree' suggestion, staked I ach on that belief Loree settled' the argument and' collected 1 from each of his four shipmates soonr after he arrived in Ecmt when . be par- Xdpated in a raid on two enemy airfields by K-AJ. Jight bomber; and fighter bombers escorted by squadrons of fighters. - Jjaxtt, at , the .controls ,pr a fighter bomber, was one of the first to attack.. There were sev eral enemy craft in the air, and he dived after a Junkers . The German bomber, ? afire from Loree'a tracer bullets, crashed in flames. Only one, member of its crew managed to ball out in'time. Huns Hold Hostages In Case of Invasion LONDON, Aug. 11. ) The BBC quoted today a Berlin broadcast-announcing . that six more Czechs iiad been i executed on charges of "preparations 'for high treason and favoring the enemy". At the same time, Aneta, Neth erlands news ' agency, circulated a report received through Zurich, Switzerland, that 200 more hos tages had been arrested to be 'held responsible with their lives for the conduct of- the Netherlands people in the event of a British invasion nf Holland" More than 500 ' prominent clergymen, , physicians, . business men . and communal leaders al-ready had been' taken hostages by the .Germans, in their attempt to curb .anti-German activity in the Netherlands, Aneta aajd. , . R.C.A.F. Night Figrtfer Ends HeinkeJ's Trip - LONDON, Aug. : 1L 0 A night-raiding excursion by -a Heinkel, Ul'was turned into a one-way passage by PO. George Pepper, of Bellevillb, Ont; hho shot the bomber down off the southeast coast, of England last week-end, it was announced to day. " X;iX.-.'X Pepper, a '. former speedway driver, worked:. .his - Beaufighter into closet range t and gave the Heinkel a short burst of cannon and machine-gun fire which 'was followed ; by explosions and fire in the fuselage, of the German 'plane. The .port engine' then burst into flames.' "Large '. pieces -.- flew off the 'plane and one of the crew bailed out", the 27-year-old night fight er said. . "I gave the Heinkel an other short burst It Was follow ed by more explosions end two more, bursts did the trick. It went down vertically with a bright-red glow from -the burning ' 'plane lighting up the - Clouds . French ; BERNE, Switzerland, Aug. 10- ijf) DJI German news agency, said tonight' 1,000 French prisoners' of war, whphavebeen engaged In farm york ; in East Prufsia, have arrived at the town of Aachen, on the Belgian fron tier, preparatory, to re-entering r ranee. . t - . .The men are to be repatriated unilap terma of . the Prench-Ger man agreement whereby French civil workera are to go voluntarily to Germany. . : . QUEBEC, Aug. 10. The Na. tional Shoe and Leather Federa. tion of Canada will, meet', here Aug. 22 and .23 in annual convention, it Was announced tonight -: ACQUITTED; OF CHARGE. - Delice Lafantalhe, 217 Rldeau street, was, acquitted on, a charge of theft of $30 from the person of Conrad Guerin, 105 Laurier street Hull, in Hull Magistrate'! Court today. - Guerin, the com plainant, was ordered to pay costs of $12.05. r . JT FINED IN COURT. Charged with neglecting to file a sales tax return under the Spe cial War Revenue Act, the firm of Crabtree -Gravure, Limited, .318 Queen street was fined $10 and $3 costs by Deputy Magistrate Sauve in City Court .this morn tag.. , -7 - .. VOod AT LARGE. Three peofcle were fined $2 and $1 costs by Deputy Magistrate Sauve In, City Court this morning for allowing dogs to run at large. They were Earle Sloan, 127 Glen-ora street; Bert Lesage, 147 Dfunvr mond street; Emma Fumerton, 89 Fourth avenue. - - ,17 TEARS TIRED. LIVERPOOL-Tired . through 1? vears inactivity a man. itn teheed to 30 days' hard labof for falling to comply with essential service orders - had to siv down twice for rest on stairs from court Claim 1,000 Are Repatriated ing. . to cells. . . OTTAWA JOURNAL y- TUESDAY,. AUGUST 11, 1942. X in GROUP CAPT. ERNEST Me. NAB, D J.C who is returning shortly to the United - Kingdom to take, over command of a station there. -He was the former officer commanding the '1st Canadian Fighter Squadron. m Britain., Funeral Is Held . Of E. J. Gilligan " Largely attended by relatives and friends, the funeral of Ed ward J. Gilligan ; was held this morning from the parlors of Mc-Evoy Brothers, 235 Kent street to St Patrick's Church. . ; Bt Rev; Msgr. G. D. Prudhomme chanted the mass . and prayers at, Notre Dame cemetery were said by Rev. Gerald Fogarty.,1 .; . - Chief , mourners and survivors were his "widow, the former Dora Turner, of Cochrane, now resident in Windsor; his mother, Mrs. B J. Gilligan, of Ottawa; two sons, Billy and Teddy, of Windsor; two daughters, Judith and Rayma, of Windsor; ; one sister, Mrs. P. J. Brennan, of Ottawa; three bro thers," Hugh, of Amos, ; Que.; James, of Fort William, and J. GOUgan, - of Kippewa, Que. ' f Among the many spiritual offer ings and floral .tributes ; received were' those from' the employes of the Income Tax Branch, No. 6 Temporary: Building; employes of the Department of Lands and Forests, Cochrane distrist; fire' rangers, Timmins division; sisters and inmates of St Patrick's Home and the Third, Order of the Servants of Mary.''- - ; x? .; ; - - 'Lefiy' Marius Rilso - Lost to Yankees , NEW YORK. Aug. 11. P Marius Russo, southpaw pitcher who won 14 games last, year for the world champion New. York Yankees, will not play for the rest of the' season, i The Yankees announced yesterday that Russo's shoulder again bothered him and he is Unable to work. Russo scored two scoreless in nings against Boston last Tuesday night, hie only!, work since May 21 when his arm v started troubling him.- x. Take Over Race Tracks! For U.S.Troops -: 'i , i PRETORIA, South Africa. Aug. 11 (BUP) Defence- officials- to day requisitioned one race track and announced plans to take over two more , which, it was believed, will : be used to accommodate troops from overseas--mainly from the United States. The Durban race , track -was requisitioned. Others to be taken by. the Government were at Port' Elizabeth and Capetown. ' PENNIES DONT COUlHT. WASHINGTON, Aug. U-W) Pennies are- out in figuring Alaska's celling prices. Explaining that pennies, are not used as a medium - of ' exchange in many Alaskan communities, "Price Ad ministrator Leon. Henderson has ordered maximum prices, adjusted. to the nearest nickel. : . WW Americans Aggravate Rations in Ontario Tobacco Belt V BRANTFORD, Aug.. 11. O) Four . thousand Americans who have come to Brant Norfolk, Elgin, ' Essex, Kent and half a dozen other Western Ontario counties to assist, farmers in the. tobacco belt haye posed coffee anda tea rationing problems for the' plantation owners, it was learned today. X - (It has been announced at London, Ont, that rations for harvest hem-will hi sunnlied tin farm inst. as to institutions, on declaration of the employer. This order, it is expected, will cover all of Western Ontario and take in tobacco farms with the rest) .Aim 1uIKImI Returning Overseas . Group . Capt Ernest MeNab, former: officer commanding the 1st Canadian fighter quadron in Britain, is to return to the United Kingdom - shortly to take over command of a station there, it was learned here Monday. Group Capt McNab, who came back to Canada some months- ago, has recently been acting as liaison officer between ' the Royal Canadian Air Force and United States air forces' at the Pacific coast. WASHINGTON BLACKOUT. WASHINGTON, Aug. 11. VP) Washington and nearby surb urban communities were in darkness for 30 minutes last night during a surprise test, blackout The condition of your eyes chanfe from tiro to tuna . sod lika your teeth should bt checked periodically. COME IN TODAYI 190 Sparks St. EASY TERMS ARE STILL AVAILABLE lTfine 183 Rldean St Dialt3t3 . , Subject to approval of cndlt dapt. - - ' UMITED 4 ( HEINTZMAN. PIANO .Mahogany X" . Excellent Tone A Snap - - - Terms Arranged CECIL LEACH & CO. lit Somtrttt StrMt rboaa S-ISSS lllS-IBM WalllnstOB MINI :l7 "yi-2623 mm Quality YouUl Enoy to v n n u n 'DOMINION' EMPLOYEES' PICNIC Wednesday at 1 pjn., August 12th, Dominion Stores wiU dose to .allow; all employes to enjoy a district picnic at Britannia Park. - - : WE WOULD APPRECIATE IT IF "DOMINION" CUSTOMERS WOULD DO THEIR WEDNESDAY SHOPPING EARLT. ' a "TJcMiUl at mnarl 'SHssgstsfS (Hardy DIAL 3-1106 ; NIGHT CALLeV-4-UU Erskine- Smiths X COMPANV UMITK0 Plumbmo and Heatino ;v- 251 Rldeaa Street Cuk MotMy ttfmaUB S? j T l U I It I 2 S JS . m w.u t an $ 4.n. is m .ts M.is HUT . - 275 WJ3 M MM S Jl. 4t 1MM 7UI J7;l.ia M Si .80 UM BtJS COWORMION no '--;,- Arcade) TELEPHONE 2-1477 PRESERVING KETTLES 75' REID'S 2Z2-Z2S BANK I-JT21


    Working with Dynamic Memory in C++ | killexams.com real questions and Pass4sure dumps

    C++ lets you allocate objects dynamically. The authors of C++ Primer discuss why properly freeing dynamic memory is a rich source of bugs, and how the new library defines smart pointers—shared_ptr, unique_ptr, and weak_ptr—that make managing dynamic memory much safer.

    This chapter is from the book 

    The programs we’ve written so far have used objects that have well-defined lifetimes. Global objects are allocated at program start-up and destroyed when the program ends. Local, automatic objects are created and destroyed when the block in which they are defined is entered and exited. Local static objects are allocated before their first use and are destroyed when the program ends.

    In addition to supporting automatic and static objects, C++ lets us allocate objects dynamically. Dynamically allocated objects have a lifetime that is independent of where they are created; they exist until they are explicitly freed.

    Properly freeing dynamic objects turns out to be a surprisingly rich source of bugs. To make using dynamic objects safer, the library defines two smart pointer types that manage dynamically allocated objects. Smart pointers ensure that the objects to which they point are automatically freed when it is appropriate to do so.

    Our programs have used only static or stack memory. Static memory is used for local static objects (§ 6.1.1, p. 205), for class static data members (§ 7.6, p. 300), and for variables defined outside any function. Stack memory is used for nonstatic objects defined inside functions. Objects allocated in static or stack memory are automatically created and destroyed by the compiler. Stack objects exist only while the block in which they are defined is executing; static objects are allocated before they are used, and they are destroyed when the program ends.

    In addition to static or stack memory, every program also has a pool of memory that it can use. This memory is referred to as the free store or heap. Programs use the heap for objects that they dynamically allocate—that is, for objects that the program allocates at run time. The program controls the lifetime of dynamic objects; our code must explicitly destroy such objects when they are no longer needed.

    In § 5.6.2 (p. 196) we noted that programs that use exception handling to continue processing after an exception occurs need to ensure that resources are properly freed if an exception occurs. One easy way to make sure resources are freed is to use smart pointers.

    When we use a smart pointer, the smart pointer class ensures that memory is freed when it is no longer needed even if the block is exited prematurely:

    void f() { shared_ptr<int> sp(new int(42)); // allocate a new object // code that throws an exception that is not caught inside f } // shared_ptr freed automatically when the function ends

    When a function is exited, whether through normal processing or due to an exception, all the local objects are destroyed. In this case, sp is a shared_ptr, so destroying sp checks its reference count. Here, sp is the only pointer to the memory it manages; that memory will be freed as part of destroying sp.

    In contrast, memory that we manage directly is not automatically freed when an exception occurs. If we use built-in pointers to manage memory and an exception occurs after a new but before the corresponding delete, then that memory won’t be freed:

    void f() { int *ip = new int(42); // dynamically allocate a new object // code that throws an exception that is not caught inside f delete ip; // free the memory before exiting }

    If an exception happens between the new and the delete, and is not caught inside f, then this memory can never be freed. There is no pointer to this memory outside the function f. Thus, there is no way to free this memory.

    Smart Pointers and Dumb Classes readlater.jpg

    Many C++ classes, including all the library classes, define destructors (§ 12.1.1, p. 452) that take care of cleaning up the resources used by that object. However, not all classes are so well behaved. In particular, classes that are designed to be used by both C and C++ generally require the user to specifically free any resources that are used.

    Classes that allocate resources—and that do not define destructors to free those resources—can be subject to the same kind of errors that arise when we use dynamic memory. It is easy to forget to release the resource. Similarly, if an exception happens between when the resource is allocated and when it is freed, the program will leak that resource.

    We can often use the same kinds of techniques we use to manage dynamic memory to manage classes that do not have well-behaved destructors. For example, imagine we’re using a network library that is used by both C and C++. Programs that use this library might contain code such as

    struct destination; // represents what we are connecting to struct connection; // information needed to use the connection connection connect(destination*); // open the connection void disconnect(connection); // close the given connection void f(destination &d /* other parameters */) { // get a connection; must remember to close it when done connection c = connect(&d); // use the connection // if we forget to call disconnect before exiting f, there will be no way to close c }

    If connection had a destructor, that destructor would automatically close the connection when f completes. However, connection does not have a destructor. This problem is nearly identical to our previous program that used a shared_ptr to avoid memory leaks. It turns out that we can also use a shared_ptr to ensure that the connection is properly closed.

    Using Our Own Deletion Code readlater.jpg

    By default, shared_ptrs assume that they point to dynamic memory. Hence, by default, when a shared_ptr is destroyed, it executes delete on the pointer it holds. To use a shared_ptr to manage a connection, we must first define a function to use in place of delete. It must be possible to call this deleter function with the pointer stored inside the shared_ptr. In this case, our deleter must take a single argument of type connection*:

    void end_connection(connection *p) { disconnect(*p); }

    When we create a shared_ptr, we can pass an optional argument that points to a deleter function (§ 6.7, p. 247):

    void f(destination &d /* other parameters */) { connection c = connect(&d); shared_ptr<connection> p(&c, end_connection); // use the connection // when f exits, even if by an exception, the connection will be properly closed }

    When p is destroyed, it won’t execute delete on its stored pointer. Instead, p will call end_connection on that pointer. In turn, end_connection will call disconnect, thus ensuring that the connection is closed. If f exits normally, then p will be destroyed as part of the return. Moreover, p will also be destroyed, and the connection will be closed, if an exception occurs.

    12.1.5. unique_ptr c-pluse_pluse11.jpg

    A unique_ptr “owns” the object to which it points. Unlike shared_ptr, only one unique_ptr at a time can point to a given object. The object to which a unique_ptr points is destroyed when the unique_ptr is destroyed. Table 12.4 lists the operations specific to unique_ptrs. The operations common to both were covered in Table 12.1 (p. 452).

    Table 12.4. unique_ptr Operations (See Also Table 12.1 (p. 452))

    unique_ptr<T> u1unique_ptr<T, D> u2

    Null unique_ptrs that can point to objects of type T. u1 will use delete to free its pointer; u2 will use a callable object of type D to free its pointer.

    unique_ptr<T, D> u(d)

    Null unique_ptr that point to objects of type T that uses d, which mustbe an objectof type D in place of delete.

    u = nullptr

    Deletes the object to which u points; makes u null.

    u.release()

    Relinquishes control of the pointer u had held; returns the pointer u had held and makes u null.

    u.reset()u.reset(q)u.reset(nullptr)

    Deletes the object to which u points;If the built-in pointer q is supplied, makes u point to that object.Otherwise makes u null.

    Unlike shared_ptr, there is no library function comparable to make_shared that returns a unique_ptr. Instead, when we define a unique_ptr, we bind it to a pointer returned by new. As with shared_ptrs, we must use the direct form of initialization:

    unique_ptr<double> p1; // unique_ptr that can point at a double unique_ptr<int> p2(new int(42)); // p2 points to int with value 42

    Because a unique_ptr owns the object to which it points, unique_ptr does not support ordinary copy or assignment:

    unique_ptr<string> p1(new string("Stegosaurus")); unique_ptr<string> p2(p1); // error: no copy for unique_ptr unique_ptr<string> p3; p3 = p2; // error: no assign for unique_ptr

    Although we can’t copy or assign a unique_ptr, we can transfer ownership from one (nonconst) unique_ptr to another by calling release or reset:

    // transfers ownership from p1 (which points to the string Stegosaurus) to p2 unique_ptr<string> p2(p1 .release()); // release makes p1 null unique_ptr<string> p3(new string("Trex")); // transfers ownership from p3 to p2 p2.reset(p3.release()); // reset deletes the memory to which p2 had pointed

    The release member returns the pointer currently stored in the unique_ptr and makes that unique_ptr null. Thus, p2 is initialized from the pointer value that had been stored in p1 and p1 becomes null.

    The reset member takes an optional pointer and repositions the unique_ptr to point to the given pointer. If the unique_ptr is not null, then the object to which the unique_ptr had pointed is deleted. The call to reset on p2, therefore, frees the memory used by the string initialized from "Stegosaurus", transfers p3’s pointer to p2, and makes p3 null.

    Calling release breaks the connection between a unique_ptr and the object it had been managing. Often the pointer returned by release is used to initialize or assign another smart pointer. In that case, responsibility for managing the memory is simply transferred from one smart pointer to another. However, if we do not use another smart pointer to hold the pointer returned from release, our program takes over responsibility for freeing that resource:

    p2.release(); // WRONG: p2 won't free the memory and we've lost the pointer auto p = p2.release(); // ok, but we must remember to delete(p) Passing and Returning unique_ptrs

    There is one exception to the rule that we cannot copy a unique_ptr: We can copy or assign a unique_ptr that is about to be destroyed. The most common example is when we return a unique_ptr from a function:

    unique_ptr<int> clone(int p) { // ok: explicitly create a unique_ptr<int> from int* return unique_ptr<int>(new int(p)); }

    Alternatively, we can also return a copy of a local object:

    unique_ptr<int> clone(int p) { unique_ptr<int> ret(new int (p)); // . . . return ret; }

    In both cases, the compiler knows that the object being returned is about to be destroyed. In such cases, the compiler does a special kind of “copy” which we’ll discuss in § 13.6.2 (p. 534).

    Passing a Deleter to unique_ptr

    Like shared_ptr, by default, unique_ptr uses delete to free the object to which a unique_ptr points. As with shared_ptr, we can override the default deleter in a unique_ptr (§ 12.1.4, p. 468). However, for reasons we’ll describe in § 16.1.6 (p. 676), the way unique_ptr manages its deleter is differs from the way shared_ptr does.

    Overridding the deleter in a unique_ptr affects the unique_ptr type as well as how we construct (or reset) objects of that type. Similar to overriding the comparison operation of an associative container (§ 11.2.2, p. 425), we must supply the deleter type inside the angle brackets along with the type to which the unique_ptr can point. We supply a callable object of the specified type when we create or reset an object of this type:

    // p points to an object of type objT and uses an object of type delT to free that object // it will call an object named fcn of type delT unique_ptr<objT, delT> p (new objT, fcn);

    As a somewhat more concrete example, we’ll rewrite our connection program to use a unique_ptr in place of a shared_ptr as follows:

    void f(destination &d /* other needed parameters */) { connection c = connect(&d); // open the connection // when p is destroyed, the connection will be closed unique_ptr<connection, decltype(end_connection)*> p(&c, end_connection); // use the connection // when f exits, even if by an exception, the connection will be properly closed }

    Here we use decltype (§ 2.5.3, p. 70) to specify the function pointer type. Because decltype(end_connection) returns a function type, we must remember to add a * to indicate that we’re using a pointer to that type (§ 6.7, p. 250).

    12.1.6. weak_ptr readlater.jpgc-pluse_pluse11.jpg

    A weak_ptr (Table 12.5) is a smart pointer that does not control the lifetime of the object to which it points. Instead, a weak_ptr points to an object that is managed by a shared_ptr. Binding a weak_ptr to a shared_ptr does not change the reference count of that shared_ptr. Once the last shared_ptr pointing to the object goes away, the object itself will be deleted. That object will be deleted even if there are weak_ptrs pointing to it—hence the name weak_ptr, which captures the idea that a weak_ptr shares its object “weakly.”

    Table 12.5. weak_ptrs

    weak_ptr<T> w

    Null weak_ptr that can point at objects of type T.

    weak_ptr<T> w(sp)

    weak_ptr that points to the same object as the shared_ptr sp. T must be convertible to the type to which sp points.

    w = p

    p can be a shared_ptr or a weak_ptr. After the assignment w shares ownership with p.

    w.reset()

    Makes w null.

    w.use_count()

    The number of shared_ptrs that share ownership with w.

    w.expired()

    Returns true if w.use_count() is zero, false otherwise.

    w.lock()

    If expired is true, returns a null shared_ptr; otherwise returns a shared_ptr to the object to which w points.

    When we create a weak_ptr, we initialize it from a shared_ptr:

    auto p = make_shared<int>(42); weak_ptr<int> wp(p); // wp weakly shares with p; use count in p is unchanged

    Here both wp and p point to the same object. Because the sharing is weak, creating wp doesn’t change the reference count of p; it is possible that the object to which wp points might be deleted.

    Because the object might no longer exist, we cannot use a weak_ptr to access its object directly. To access that object, we must call lock. The lock function checks whether the object to which the weak_ptr points still exists. If so, lock returns a shared_ptr to the shared object. As with any other shared_ptr, we are guaranteed that the underlying object to which that shared_ptr points continues to exist at least as long as that shared_ptr exists. For example:

    if (shared_ptr<int> np = wp.lock()) { // true if np is not null // inside the if, np shares its object with p }

    Here we enter the body of the if only if the call to lock succeeds. Inside the if, it is safe to use np to access that object.

    Checked Pointer Class

    As an illustration of when a weak_ptr is useful, we’ll define a companion pointer class for our StrBlob class. Our pointer class, which we’ll name StrBlobPtr, will store a weak_ptr to the data member of the StrBlob from which it was initialized. By using a weak_ptr, we don’t affect the lifetime of the vector to which a given StrBlob points. However, we can prevent the user from attempting to access a vector that no longer exists.

    StrBlobPtr will have two data members: wptr, which is either null or points to a vector in a StrBlob; and curr, which is the index of the element that this object currently denotes. Like its companion StrBlob class, our pointer class has a check member to verify that it is safe to dereference the StrBlobPtr:

    // StrBlobPtr throws an exception on attempts to access a nonexistent element class StrBlobPtr { public: StrBlobPtr(): curr(0) { } StrBlobPtr(StrBlob &a, size_t sz = 0): wptr(a.data), curr(sz) { } std::string& deref() const; StrBlobPtr& incr(); // prefix version private: // check returns a shared_ptr to the vector if the check succeeds std::shared_ptr<std::vector<std::string>> check(std::size_t, const std::string&) const; // store a weak_ptr, which means the underlying vector might be destroyed std::weak_ptr<std::vector<std::string>> wptr; std::size_t curr; // current position within the array };

    The default constructor generates a null StrBlobPtr. Its constructor initializer list (§ 7.1.4, p. 265) explicitly initializes curr to zero and implicitly initializes wptr as a null weak_ptr. The second constructor takes a reference to StrBlob and an optional index value. This constructor initializes wptr to point to the vector in the shared_ptr of the given StrBlob object and initializes curr to the value of sz. We use a default argument (§ 6.5.1, p. 236) to initialize curr to denote the first element by default. As we’ll see, the sz parameter will be used by the end member of StrBlob.

    It is worth noting that we cannot bind a StrBlobPtr to a const StrBlob object. This restriction follows from the fact that the constructor takes a reference to a nonconst object of type StrBlob.

    The check member of StrBlobPtr differs from the one in StrBlob because it must check whether the vector to which it points is still around:

    std::shared_ptr<std::vector<std::string>> StrBlobPtr::check(std::size_t i, const std::string &msg) const { auto ret = wptr.lock(); // is the vector still around? if (!ret) throw std::runtime_error("unbound StrBlobPtr"); if (i >= ret->size()) throw std::out_of_range(msg); return ret; // otherwise, return a shared_ptr to the vector }

    Because a weak_ptr does not participate in the reference count of its corresponding shared_ptr, the vector to which this StrBlobPtr points might have been deleted. If the vector is gone, lock will return a null pointer. In this case, any reference to the vector will fail, so we throw an exception. Otherwise, check verifies its given index. If that value is okay, check returns the shared_ptr it obtained from lock.

    Pointer Operations

    We’ll learn how to define our own operators in Chapter 14. For now, we’ve defined functions named deref and incr to dereference and increment the StrBlobPtr, respectively.

    The deref member calls check to verify that it is safe to use the vector and that curr is in range:

    std::string& StrBlobPtr::deref() const { auto p = check(curr, "dereference past end"); return (*p)[curr]; // (*p) is the vector to which this object points }

    If check succeeds, p is a shared_ptr to the vector to which this StrBlobPtr points. The expression (*p)[curr] dereferences that shared_ptr to get the vector and uses the subscript operator to fetch and return the element at curr.

    The incr member also calls check:

    // prefix: return a reference to the incremented object StrBlobPtr& StrBlobPtr::incr() { // if curr already points past the end of the container, can't increment it check(curr, "increment past end of StrBlobPtr"); ++curr; // advance the current state return *this; }

    Of course, in order to access the data member, our pointer class will have to be a friend of StrBlob (§ 7.3.4, p. 279). We’ll also give our StrBlob class begin and end operations that return a StrBlobPtr pointing to itself:

    // forward declaration needed for friend declaration in StrBlob class StrBlobPtr; class StrBlob { friend class StrBlobPtr; // other members as in § 12.1.1 (p. 456) // return StrBlobPtr to the first and one past the last elements StrBlobPtr begin() { return StrBlobPtr(*this); } StrBlobPtr end() { auto ret = StrBlobPtr(*this, data->size()); return ret; } };


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