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C2090-317 - DB2 11 System Administrator for z/OS - BrainDump Information

Vendor Name : IBM
Exam Code : C2090-317
Exam Name : DB2 11 System Administrator for z/OS
Questions and Answers : 60 Q & A
Updated On : November 16, 2018
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C2090-317 exam Dumps Source : DB2 11 System Administrator for z/OS

Test Code : C2090-317
Test Name : DB2 11 System Administrator for z/OS
Vendor Name : IBM
Q&A : 60 Real Questions

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IBM IBM DB2 11 System

Is Nagios The future of Monitoring For IBM i? | killexams.com Real Questions and Pass4sure dumps

November 12, 2018 Alex Woodie

For a long time, technology professionals became to based frameworks from IBM Tivoli, CA, Hewlett Packard, and BMC (“The huge four”) to video display their hardware and software stacks. but the open supply world has caught up with those closed monitoring environments, and a challenge dubbed Nagios is poised to be the go-to platform for IT monitoring, including on IBM i.

Nagios, if you are not familiar, is a free and open source software product that offers monitoring and alerting for servers, community gear, applications, and the array of capabilities that groups increasingly count on. The utility –backed by way of the mandatory recursive acronym “Nagios Ain’t Gonna Insist On Sainthood” – was at first developed by using Ethan Galstad back in 2002 to run and video display Linux methods, which become just starting to make headway in enterprise information centers.

over the years, the C-based program has been prolonged to support an array of object kinds, together with host components like processor load, disk and RAM utilization, and gadget logs for a majority of familiar working methods, including IBM i. The vigorous Nagios community has created a big range of Nagios brokers which have prolonged the framework to an estimated 5,000 instruments.

Nagios is an open supply tool that allows for directors to computer screen their IT equipment and applications.

On the community side of things, Nagios Core (as the open source product is familiar) monitors routers, switches, and different gear, and helps SMTP, POP3, FTP, and SNMP protocols, amongst others. All far flung monitoring can also be encrypted, and it additionally presents a plug-in that lets users create their personal screens in a lot of languages.

information amassed by active and passive Nagios plug-ins is routed into the Nagios server, where the data is sorted and signals are despatched out. users can eat signals in plenty of techniques, together with through a web browser, through SMS pagers, and thru e-mail. With a simple glance on the Nagios dashboard on a cell, a systems admins can see if important servers, manner, and features are alive or lifeless.

The Nagios Core server utility can also work with a “circular-robin database” (RRD) to simplify the storage and querying of time-collection records. With RRD, admins can dive deeper into Nagios facts and consider graphs to look performance traits. And with a bit setup ahead of time, Nagios can also be configured to immediately reply to activities as they turn up, or boost alerts to other people.

corporations that desire more than what Nagios Core has to present can discover it from Nagios agencies, the industrial outfit in the back of the open source assignment. The St. Paul, Minnesota-based company, which employs Galstad, extends Nagios Core with a few offerings, including Nagio XI, which aspects a more extensible front-conclusion and a MySQL-based returned-conclusion. Nagios XI additionally brings a higher person adventure with extra effective graphs and enhanced dashboards.

IBM i shoppers can use Nagios to monitor 15 metrics with the Nagios Plug-Ins for IBM i beta.

regrettably, Nagios enterprises doesn’t support IBM i. but that you can get a Nagios distribution for IBM i from a bit outfit known as international business Machines. In 2017, large Blue shipped a beta version of an IBM i plug-in designed to feed information from the IBM i sever into the open supply Nagios Core product or Nagios XI.

in response to a developerWorks web page, the IBM i Nagios plug-in collects 15 diverse data aspects from IBM i servers, together with issues like CPU and disk utilization, ASP utilization, number of energetic jobs, and lengthy-running SQL jobs, among others. Some of those capabilities are supported via SNMP, whereas others require the open source JTOpen Java toolbox to be put in.

The Nagios server itself doesn’t run on IBM i – as a minimum not yet. With the Nagios on IBM i plug-in, IBM gives clients with instructions on a way to installation Nagios Core or Nagios XI on a Linux server. Technically, there should still be nothing stopping from a person installation Nagios in a Linux LPAR on the power techniques server – and even for IBM to port the software to the IBM i OS by the use of PASE – but that has no longer happened yet.

IBM makes the case for IBM i shops to use Nagios in a PDF presentation on Nagios created via IBM i company architect Tim Rowe and Wang Yun, who developed the Nagios for IBM i plug-in. while Navigator for i provides first rate insurance of IBM i-centric queues and metrics, that product doesn’t supply valued clientele with any visibility of what’s taking place outside the IBM i device.

valued clientele who buy Nagios XI can video display IBM i metrics graphically.

Nagios, in spite of this, gives administrators and operators with a single centralized view of all IT assets, Rowe and Yun write. besides the core IBM i metrics that are actually attainable by the use of the Nagios plug-in, IBM i users can get vogue and historic records, as neatly as the flexibility to configure metrics to their liking, now not to mention the potential to create their personal custom plug-ins.

IBM isn’t the best enterprise doing Nagios work on IBM i. just a few years in the past, ShapPin Cheng launched a GitHub venture known as check_as400 that moved records from IBM i server logs into Nagios. considering that the extensibility and openness of Nagios, it wouldn’t be superb to look independent software vendors in the IBM i neighborhood adopt the expertise for his or her personal techniques monitoring choices.

For now, IBM offers the Nagios plug-in as a beta. Don’t be stunned to look it develop into a totally supported providing within the months to come, exceptionally considering the fact that the love affair that IBM has with open source software these days.

related reports

IBM i performance secrets and techniques published

What’s Cooking With IBM i On GitHub?

ASCI Job Scheduler gets Hooks for Nagios


IBM DB2 relational DBMS overview | killexams.com Real Questions and Pass4sure dumps

IBM DB2 is a relational DBMS with built-in help for a number of NoSQL capabilities, including XML, graph keep and Java Script Object Notation (JSON). Used by way of agencies of all sizes, DB2 offers an information platform for each transactional and analytical operations as well as continuous availability of statistics to retain transactional workflows and analytics working successfully.

OSes DB2 supports

DB2 is available for three primary structures:

  • notebook, with DB2 for Linux, Unix and home windows (LUW)
  • Midrange, with DB2 for iSeries
  • Mainframe, with DB2 for z/OS, the predominant mainframe relational DBMS
  • DB2 helps these Unix versions: AIX, Solaris and HP-UX; Linux editions encompass pink Hat, SUSE, Ubuntu and Linux on pSeries and gadget z.

    DB2 for i comes pre-put in on the iSeries server and, as such, won't be addressed right here.

    DB2 features

    The existing edition of DB2 for LUW is eleven.1, launched in 2d quarter 2016. This unlock makes a speciality of advancements to BLU Acceleration and pureScale functionality.

    BLU Acceleration, introduced to DB2 in edition 10.5, gives a column store capability, in addition to technological performance boosts for actionable compression, exploitation of the one guide distinct facts (SIMD) capabilities of modern CPUs, and statistics skipping know-how.

    For DB2 11, BLU Acceleration can also be deployed throughout a hugely parallel processing (MPP) network cluster architecture. BLU Acceleration can also be used in database partitioning facility environments for MPP scale out, that may increase question efficiency for significant partitioned applications. additionally, this edition improves in-memory capabilities for column-geared up tables and integration with IBM facts Server supervisor to analyze workloads and examine even if they could improvement from column-oriented tables.

    DB2 for LUW eleven also provides guide for top Availability catastrophe restoration, or HADR, in pureScale clustered DB2 databases. statistics may also be mirrored from a primary pureScale database cluster to a 2nd native or remote standby cluster, thereby improving recoverability. An further improvement for pureScale is the beginning of online fix pack update guide, allowing clients to apply DB2 11.1 fix packs to particular person individuals running in a pureScale cluster with no need to take the whole cluster offline.

    On the safety front, DB2 eleven enables using commercial enterprise key management techniques for storing native encryption master keys. The DB2 advanced healing feature is a bundle of database backup, healing and facts extraction equipment that may support users improve availability, mitigate possibility and optimize administrative initiatives.

    The present version of DB2 for z/OS is 11, which changed into launched in October 2013. Highlights of DB2 11 for z/OS include efficiency and availability enhancements, more desirable analytics capabilities, software compatibility aspects, superior entry direction stability and archive transparency. IBM additionally offers the IBM DB2 Analytics Accelerator, which is an add-on to DB2 for z/OS for dashing up analytical queries.

    DB2 for LUW requires two configuration information: the Database manager configuration file containing configuration parameters for a whole example, and Database configuration data for every database.      

    DB2 for LUW is also embedded into IBM's database PureData appliance, enabling turnkey implementation of DB2 with out the time-consuming installation and configuration required of a traditional DBMS installation.

    DB2 for z/OS is put in as a subsystem with add-ons for database features, lock management, disbursed request processing and connecting to other mainframe brokers. The subsystem is configured with a group of parameters referred to as the DSNZPARMs.

    DB2 offerings

    As of version 11, IBM presents eight variants of DB2 for LUW:

  • DB2 superior enterprise Server edition offers the maximum level of functionality accessible for DB2 and is proper for transactional, warehouse and blended workloads. This edition has no processor, memory or database measurement limits and is derived with a full complement of warehouse tools, InfoSphere Optim tools and IBM facts Studio.
  • DB2 superior Workgroup Server version is corresponding to the DB2 superior commercial enterprise Server version, apart from it places limits on processor, reminiscence and database measurement. This edition is most desirable-acceptable for deployment in a departmental, workgroup or midsize enterprise environment.
  • DB2 business Server version is suitable for transactional and mixed workloads, and like the advanced edition, it has no processor, memory or database dimension limits. although, unlike the advanced edition, it lacks column-equipped tables, in-memory database, facts compression, workload administration, replication and allotted partitioning capabilities.
  • DB2 Workgroup Server version is primarily for transactional workloads. This edition places limits on processor, reminiscence and database size, which makes it most appropriate for medium-size workloads.
  • DB2 Direct advanced edition is a version of DB2 superior Workgroup Server edition for digital delivery.
  • DB2 Direct average edition is a digital edition of DB2 Workgroup Server version for digital beginning.
  • DB2 for huge facts combines the relational engine of DB2 with IBM's BigInsights platform for big facts and analytics. This edition is designed to enhance portability of facts across relational programs and Hadoop.
  • DB2 Developer edition is designed for a single software developer to design, build and prototype applications for deployment on any of the IBM counsel administration client or server systems.
  • moreover, DB2 categorical-C version, an entry-level edition of the DB2 records server for the developer and partner neighborhood, is attainable without charge. It can be installed on physical or virtual methods with any volume of CPU and RAM, and is optimized to expend to a highest of two cores and 16 GB of memory.

    DB2 information forms

    DB2 helps the typical numeric, character, and date/time statistics kinds smartly as LOBs, XML and consumer-defined forms. JSON is supported by the use of DB2 JSON, a driver-primarily based answer that provides JSON facts illustration in the context of an RDBMS.

    DB2 benchmarks

    IBM has published a lot of TPC benchmarks for DB2 on all systems supported. IBM sells DB2 for LUW direct, via enterprise partners, online and through utility particular licensing, which permits carriers equivalent to SAP to license and sell DB2 relational DBMS as a part of their applications.

    Pricing is according to processor cost unit (PVU), which is a unit of measure that IBM uses to license its utility. IBM applies a PVU count to each and every core of a processor. The pricing is then in response to the variety of PVUs for the processor and through the variety of processors made attainable to DB2.

    The developer version is licensed by approved person, no longer PVU. There are extra nuances to pricing and licensing based on DB2 variations that aren't lined right here.

    DB2 licensing

    The license can charge for DB2 contains first-year help and subscription, entitling the owner to contact IBM for guide as well as to download fixes and upgrades to future types/releases of the product.

    DB2 for z/OS relational DBMS is offered without delay via IBM and is licensed as a monthly license cost (MLC) product. There are a lot of metrics obtainable for pricing MLC items. A ninety-day free trial download is accessible from the IBM web site.

    in regards to the authorCraig S. Mullins is a knowledge management strategist, researcher, consultant and author with greater than 30 years of journey in all sides of database systems building. he's president and principal consultant of Mullins Consulting Inc. and writer/editor of TheDatabaseSite.com. electronic mail him at craig@craigmullins.com.

    email us at editor@searchdatamanagement.com and comply with us on Twitter: @sDataManagement.

    this text become up to date in September 2016.


    Cloudy weather forward for IBM and purple Hat? | killexams.com Real Questions and Pass4sure dumps

    the world is buzzing in regards to the software business’s largest acquisition ever. This “game altering” IBM acquisition of red Hat for $34 billion eclipses Microsoft’s $26.2 billion of LinkedIn, which set the outdated listing. And it’s the third biggest tech acquisition in heritage at the back of Dell buying EMC for $sixty four billion in 2015 and Avago’s buyout of Broadcom for $37 billion the equal yr.

    Wall road definitely gets nervous when it sees these lofty expense tags. IBM’s inventory become down four.2 percent following the announcement, and there are likely extra issues over a broader IBM selloff around how an awful lot IBM is deciding to buy pink Hat.

    This sets the stage for big expectations on IBM to leverage this asset as a important turning element in its heritage. due to the fact IBM’s Watson AI poster child has failed to create sustainable boom, may this be their top of the line possibility to correct the ship as soon as and for all? Or is this mega merger an advanced conflict of cultures and products with a purpose to make it challenging to recognize the full capabilities?

    huge Blue’s been in huge obstacle

    When the chips are down, it’s time to move all in. massive Blue actually bowled over the expertise world when it announced it will do its largest deal ever and buy red Hat for a massive 11x top class. The truth is that pink Hat became now not always seeking to be acquired, so overpaying changed into the only potential choice. And if IBM didn’t pay, Google, Amazon, VMWare or even Alibaba would have.

    desperate instances call for desperate measures. IBM has been struggling to display growth in new markets for somewhat a while. earlier than 2018, it had 22 straight quarters of profits decline. And it has misplaced over $28 billion in salary over the past six years. Its earnings on the conclusion if 2017 become $79.14 billion, the lowest in 20 years and the more serious annual number since 1997, when IBM revenues have been $78.fifty one billion, except inflation.

    In early 2018, IBM turned into in a position to produce three consecutive quarters of salary increase, however that become peculiarly as a result of the introduction of a new line of IBM Z mainframe computers.

    IBM has been a business in decline for a long time. It’s challenging to maintain a business with shrinking earnings.

    Too historical to develop?

    IBM is more than 100 years old and certainly suffers from comparisons to younger and nimbler agencies reminiscent of Amazon, Google, fb, and Apple which have posted record increase in recent times. Amazon’s recent profits have surpassed $2 billion, for instance.

    if you contrast IBM to Microsoft, a different ancient world application company, it’s startling to look the change in how Microsoft has been in a position to reposition itself as boom enterprise according to the cloud.

    In 1990, when Microsoft liberate windows 3.0, IBM had revenues of $69 billion (simplest $10 billion shy of what it has today), whereas Microsoft had around $800 million. Microsoft surpassed IBM in revenue in 2015 and crossed the $a hundred billion annual salary mark in 2018.

    over the last a few years, as IBM’s profits shrank, Microsoft invested in its “commercial cloud” business that encompasses Azure, office 365, and Dynamics 365, bringing in over $23 billion in new revenues. Microsoft has these days been firing on all cylinders while IBM skilled growth stalls.

    gradual to get to the cloud

    IBM’s success within the hardware business, chiefly it’s Z-series mainframes, compelled it to protect its turf and distracted it from seeing the longer term impact of cloud. AWS began offering public cloud features back in 2006. As late as 2011, IBM changed into barely mentioning the be aware “cloud” in its annual experiences or profits calls. The company finally realized in 2013 that cloud computing became the future and made a hail-Mary buy of SoftLayer to bridge the gap, paying $2 billion and then investing an extra $1 billion to combine the platform.

    It’s tough to establish significant market share in the event you’re late to the celebration. Softlayer’s international market share is still a distant fifth at the back of AWS, Microsoft, Google, and even fresher newcomer Alibaba, which exceeded IBM’s cloud revenues in June of 2018.

    IBM made a number of other cloud-linked acquisitions, together with Gravitant (a cloud brokerage and administration utility), Bluebox (a private cloud as a service platform in accordance with OpenStack), Sanovi (a hybrid cloud healing and migration utility), Lighthouse and CrossIdeas (each cloud safety platforms), and CSL foreign (a cloud virtualization platform).

    regardless of these acquisitions in the cloud market, IBM has failed to basically monetize those products and gain market share in the cloud.

    The company has did not capitalize on improvements earlier than: Watson AI turned into on the precise of its online game when it debuted on Jeopardy in 2011 to beat human contestants however without delay fell in the back of Amazon, Google, and Microsoft.

    Will red Hat be the savior?

    pink Hat is the realm’s greatest company of open-supply commercial enterprise software options. red Hat’s bread and butter Linux business continues to convey increase specially because it powers many up to date AI and analytics workloads. Its mannequin has advanced from in simple terms on-premise to a fit subscription business used on public cloud structures equivalent to Amazon web functions (AWS), Microsoft Azure, and Google Cloud Platform (GCP).

    purple Hat has additionally extended into open middleware options corresponding to OpenStack, a cloud infrastructure platform, and OpenShift, a platform for managing software containers. OpenShift has long been a well-kept secret as Cloud Native Computing foundation (CNCF) has grabbed lots of the headlines with its Kubernetes container orchestration platform. IBM has a chance to leverage its advertising and global attain to motivate mainframe and legacy consumers to undertake OpenShift. These structures had been extremely leveraged in inner most and hybrid cloud deployments, primarily in industries like telecommunications.

    There isn't any doubt that purple Hat gives IBM a an awful lot greater credible cloud story. but the question definitely is, is it too late?

    The acquisition is certainly good information for organisations looking to shift traditional container-based mostly purposes and digital machines to the cloud. however, Amazon has already captured a major part of that market.

    while the acquisition of red Hat gives IBM a strong place in the hybrid-cloud market, which will be widespread for organisations that don't seem to be taking the time to decommission or re-architect legacy purposes, the speedy-growing to be public cloud market will be the battleground of the long run.

    Will the integration get messy?

    IBM has had a spotty checklist when it comes to integrating and capitalizing on enormous acquisitions.

    whereas nearly all of IBM’s M&A has been within the area of application, income in the phase has been disappointing. most likely what is regarding is that adjusting for acquisitions, IBM’s utility enterprise continues to decline — mainly as a result of the incontrovertible fact that these significant acquisitions have turn into part of the IBM material and company as average.

    Can IBM integrate whatever as big as crimson Hat with out interfering with its core value proposition? Many concern that big Blue will attempt to “blue wash” their platform of choice.

    And there’s the query of whether these two different corporate cultures can come collectively – IBM, a slow growth enterprise not making a lot progress within the cloud area, and red Hat, an imaginitive, open source enterprise it is constructing foundational accessories for working in the cloud.

    We’ve considered culture clashes derail many different excessive profile mergers equivalent to HP/Compaq, HP/Autonomy, Microsoft/Nokia, AOL/Time Warner, dash/Nextel and Alcatel/Lucent. IBM will deserve to embody the open supply neighborhood and method.

    The joint enterprise will face essential platform decisions on the cloud entrance. IBM has a public cloud that competes with AWS and Microsoft. but builders use purple Hat’s Linux on many public clouds. while that multi-cloud strategy will support IBM bring in salary across the general public clouds, it's going to create battle with its own Softlayer cloud providing. IBM has struggled to control this classification of channel and product battle successfully during the past.

    and then there is the way forward for IBM’s personal AIX operating system vs. Linux — not to point out the SCO-IBM Unix lawsuit still lingering within the courts.

    additionally to observe are the lesser well-known red Hat storage products like red Hat Ceph (an object file storage) and crimson Hat Gluster (a NAS product). As purple Hat integrates into IBM’s hybrid cloud neighborhood, these storage products should be separated from IBM, which may create confusion and conflict.

    So whereas IBM actually faces loads of probability with the acquisition, there is not any guarantee this large guess will repay. IBM essential a bold move. however within the short term, we are not likely to see any unexpected movement of IBM’s place within the public cloud area. All eyes may be on its potential to catapult into the hybrid cloud market. For that, the company will need to make certain it doesn’t get in its own way.

    Frank Palermo is the executive vice chairman at Virtusa’s global Digital enterprise, the place he's liable for know-how practices in UX, mobility, social, cloud, analytics, massive data, and IoT.




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    DB2 11 System Administrator for z/OS

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    Connecting DSX — RStudio to on-prem DB2 for z/OS database | killexams.com real questions and Pass4sure dumps

    IBM Data Science Experience provides an environment that brings together all of a data scientist’s tools into one location. It includes the most popular Open Source tools and IBM value-add functionality with integration of community and social features to make data scientists more successful.

    A wide variety of cloud data sources are easily connected to DSX, or a user could upload data from DB2 on z/OS (by creating a copy) into the environment. However, the ability to access to data in-place on the system of record, has great appeal.

    In this guide, I will outline the steps needed to configure DSX to access an on-prem DB2 for z/OS database using JDBC and provide the ability to utilize RStudio to perform advanced analytics operations on this data.

    Here is an outline of the steps we will go through in the guide to set up the DSX environment for DB2 for z/OS connectivity:

  • Examine the RStudio interface.
  • Identify the JDBC driver files and configure the initial environment with RStudio.
  • If required, setup a Bluemix Secure Gateway.
  • Use the RJDBC package to connect with a DB2 for z/OS database, and run a query.
  • Data Science Experience — RStudio Interface

    (Note: The screenshots in this tutorial are from a Mac OSX environment running Firefox. If you are running from Windows or Linux, there may some differences in the appearance of the native dialogs and browser interfaces.)

    Once setup with your account, click on the DSX Logo at the top of your screen, and this will take you to the main Community page. Once there, if you click the far left drop-down menu, you will see your project options, including RStudio. Click on the the RStudio option, and this will open up your RStudio instance.

    If you have opened DSX RStudio before, the instance opened will have retained any history or enviroment settings that you had saved/autosaved from before. If you are familiar with RStudio and have used a native version of RStudio on Windows/Mac OSX, it will look exactly the same. The only difference is that the underlying infrastucture is running in a Bluemix virtual machine. There is limited access to the underlying operating system, but we can access the filesystem to upload the JDBC driver and license file and configure the connection for DB2 for z/OS.

    The RStudio interface should look similar to what is shown below……

    (For a complete guide to using RStudio, please see the documentation linked to in the ‘Help’ Section)

    Next, we will confirm that the correct packages are installed/loaded that enable JDBC access to our on-prem database.

    In the bottom right panel of the RStudio desktop you will see the ‘Packages’ tab, and within that is an ‘Install’ tab. If you click “Install”, you will get a dialog box that allows you to load the required packages from the CRAN repo. You will need to install ‘RJDBC’. If the ‘Install dependencies’ box is checked, you will also be installing ‘rJava’ and ‘DBI’ (which load automatically). Once you install these packages, you should see them in the User Library. If they are unchecked, please check them, and they will be enabled in the environment.

    Next, we will need to upload the appropriate DB2 for z/OS data server driver .jar files to the DSX environment. The files we will need are: db2jcc.jar and db2jcc_license_cisuz.jar

    If you already have a licensed version of DB2 Connect installed, these driver files are already available on one of your existing client environment setups. Ask your DB2 system administrator for the location of these files in your client environment.

    This guide is based on DB2Connect Version 11.1 for Linux, Unix and Windows (client) and DB2 for z/OS Unlimited Edition (server). If you are not currently licensed for DB2Connect, see the Appendix at the end of this guide for instructions on how to obtain the correct data server drivers and license files that are required.

    From the RStudio desktop (shown above), go to the lower right panel again, to the “Files” section. Then, click “Upload” and you will get a dialog box that allows you to browse your local file system to upload the driver files. For both db2jcc.jar and db2jcc_license_cisuz.jar, upload these to the current directory of your DSX/RStudio environment.

    Connecting to the z Server over TCPIP — Secure Gateway

    With the JDBC driver files in place, we now need to configure access to the server which is running the DB2 for z/OS instance. The assumption for most IBM customers is that their target z server is running on a secure internal network, which is accessed externally through a VPN or from an internal private network access point. If this is the case, you will also need to set up a Bluemix Secure Gateway, that will allow the Bluemix/DSX cloud app to access your z server through a firewall, using the same VPN/internal network acces point that you use for other client connections from a desktop.

    For more general information on Bluemix Secure Gateways, please go to: https://console.ng.bluemix.net/docs/services/SecureGateway/secure_gateway.html

    If you do not need to configure a Secure Gateway, you can skip to the “Connecting to DB2/zOS with JDBC” section.

    To configure the secure gateway, please go to https://console.ng.bluemix.net/dashboard/services/, log in to Bluemix with the same credentials you are using for DSX, and then use the drop-down menu on the left to go to the ‘Services’ and then ‘Dashboard’ menu.

    Once within the Services dashboard, click the “Create Service +” button.

    Next, we will go to “Integrate” and then choose the “Secure Gateway” service from the menu.

    Leave the service “Unbound” and click “Create”.

    And, then “+ Add Gateway’

    Choose a name for your gateway, uncheck both of the boxes listed, and then click “Add Gateway”.

    Now, we can setup the destination details, and the client. Click on the gateway.

    Then click on “+ Add Destination”.

    Choose “On-Premises” and click Next.

    On the next screen add your host name/IP , and the DB Port of your DB2z Subsystem. Click ‘Next’

    Then, select TCP protocol on the next screen, and click “Next” again.

    The next screen setting is related to server side authentication. If you typically connect with just a user and password, then choose “None”. If you are not sure whether or not your server requires additional authentication, ask your System Administrator, and you can change this later. Click ‘Next’.

    You can skip over the next setting, unless you want to privatize the IP address and port or your connection. Click ‘Next’.

    To complete the destination settings for the back-end server, we just need to give a name for our connection. Choose a name for your destination that describes the DB2 Subsystem you are connecting to, and then click “Finish”.

    Now let’s install the client for our secure gateway. Choose “+ Add Clients”

    Choose your preferred method of hosting the gateway client. For this demonstration, we will be using IBM Installer — Mac OSX version on a laptop that has a VPN connection to access an on-prem z server. The details for different OS installs and Using Docker or IBM DataPower are covered in detail in the online instructions. For specific install details, See the “Bluemix Documentation” link.

    At this time, copy the Gateway ID, for input later into the gateway client command-line interface.

    After Downloading the client, double-clicking the image, you might have to go to your ‘Finder’ to see the mount point for the image.

    Click on the mount-point and then drag the ‘ibm’ folder into the Applications Folder.

    Now, we can go into the ‘IBM’ folder within Applicatons, and double-click to run the segw.command to open the CLI for the gateway.

    Enter the gateway ID you copied earlier, and then enter ‘none’ for the security token.

    Next, note the web address of the gateway interface — localhost:9003/dashboard  Enter that web address in your web browser.

    Below, we see the gateway web UI. You can see all the details of your secure gateway from this interface. There is one more setting, for the access control list. Please click “Access Control List”, and then enter your destination hostname/IP and port once again.

    Below, once you have added the host/IP and port, you can close the browser window, or minimize it.

    We are almost done. The Secure Gateway config is complete.

    Now we will return to the main Secure Gateway dashboard to copy the cloud hostname/port for the gateway. It will be used for the JDBC connection string in DSX/RStudio. From the Services Dashboard, click on the gateway you created.

    On this screen, click on the ‘settings gear’ of the destination server connection details. A dialog box will open.

    Copy the ‘Cloud Host : Port’ address to use in your JDBC connection in DSX/RStudio.

    Return to the RStudio desktop, and we can setup the JDBC driver and run a query.

    Connecting to DB2/zOS with JDBC

    In the RStudio desktop, we are now ready to enter the JDBC commands at the console prompt to setup the connection to our DB2 for z/OS database. Make sure the RJDBC, DBI, and rJava packages have loaded.

    Also, at this time, make sure you are running any VPN connection that is normally required to access your backend system from a desktop client.

    Enter the following commands in the RStudio console, noting the results you get for the classpath display:

    .jinit()  .jclassPath()  .jaddClassPath("/home/rstudio/db2jcc_license_cisuz.jar") .jclassPath() drv <- JDBC("com.ibm.db2.jcc.DB2Driver","/home <br> /rstudio/db2jcc.jar") .jclassPath()

    (* note the addition of the license file….its position in the classpath is important *)


    IBM DB2 relational DBMS overview | killexams.com real questions and Pass4sure dumps

    IBM DB2 is a relational DBMS with integrated support for a number of NoSQL capabilities, including XML, graph store and Java Script Object Notation (JSON). Used by organizations of all sizes, DB2 provides a data platform for both transactional and analytical operations as well as continuous availability of data to keep transactional workflows and analytics operating efficiently.

    OSes DB2 supports

    DB2 is available for three primary platforms:

  • Workstation, with DB2 for Linux, Unix and Windows (LUW)
  • Midrange, with DB2 for iSeries
  • Mainframe, with DB2 for z/OS, the predominant mainframe relational DBMS
  • DB2 supports these Unix variants: AIX, Solaris and HP-UX; Linux variants include Red Hat, SUSE, Ubuntu and Linux on pSeries and System z.

    DB2 for i comes pre-installed on the iSeries server and, as such, won't be addressed here.

    DB2 features

    The current version of DB2 for LUW is 11.1, released in second quarter 2016. This release focuses on improvements to BLU Acceleration and pureScale functionality.

    BLU Acceleration, added to DB2 in Version 10.5, provides a column store capability, as well as technological performance boosts for actionable compression, exploitation of the single instruction multiple data (SIMD) capabilities of modern CPUs, and data skipping technology.

    For DB2 11, BLU Acceleration can be deployed across a massively parallel processing (MPP) network cluster architecture. BLU Acceleration can be used in database partitioning facility environments for MPP scale out, which can improve query performance for large partitioned applications. Additionally, this version improves in-memory capabilities for column-organized tables and integration with IBM Data Server Manager to analyze workloads and determine whether they can benefit from column-oriented tables.

    DB2 for LUW 11 also adds support for High Availability Disaster Recovery, or HADR, in pureScale clustered DB2 databases. Data can be mirrored from a primary pureScale database cluster to a second local or remote standby cluster, thereby improving recoverability. An additional improvement for pureScale is the delivery of online fix pack update support, allowing users to apply DB2 11.1 fix packs to individual members running in a pureScale cluster without having to take the entire cluster offline.

    On the security front, DB2 11 enables the use of enterprise key management systems for storing native encryption master keys. The DB2 Advanced Recovery Feature is a bundle of database backup, recovery and data extraction tools that can help users improve availability, mitigate risk and optimize administrative tasks.

    The current version of DB2 for z/OS is 11, which was released in October 2013. Highlights of DB2 11 for z/OS include performance and availability enhancements, improved analytics capabilities, application compatibility features, improved access path stability and archive transparency. IBM also offers the IBM DB2 Analytics Accelerator, which is an add-on to DB2 for z/OS for speeding up analytical queries.

    DB2 for LUW requires two configuration files: the Database Manager configuration file containing configuration parameters for an entire instance, and Database configuration files for each database.      

    DB2 for LUW is also embedded into IBM's database PureData appliance, enabling turnkey implementation of DB2 without the time-consuming installation and configuration required of a normal DBMS installation.

    DB2 for z/OS is installed as a subsystem with components for database services, lock management, distributed request processing and connecting to other mainframe agents. The subsystem is configured with a set of parameters called the DSNZPARMs.

    DB2 offerings

    As of Version 11, IBM offers eight editions of DB2 for LUW:

  • DB2 Advanced Enterprise Server Edition offers the highest level of functionality available for DB2 and is suitable for transactional, warehouse and mixed workloads. This edition has no processor, memory or database size limits and comes with a full complement of warehouse tools, InfoSphere Optim tools and IBM Data Studio.
  • DB2 Advanced Workgroup Server Edition is similar to the DB2 Advanced Enterprise Server Edition, except it places limits on processor, memory and database size. This edition is best-suited for deployment in a departmental, workgroup or midsize business environment.
  • DB2 Enterprise Server Edition is suitable for transactional and mixed workloads, and like the advanced version, it has no processor, memory or database size limits. However, unlike the advanced version, it lacks column-organized tables, in-memory database, data compression, workload management, replication and distributed partitioning capabilities.
  • DB2 Workgroup Server Edition is primarily for transactional workloads. This edition places limits on processor, memory and database size, which makes it ideal for medium-size workloads.
  • DB2 Direct Advanced Edition is a version of DB2 Advanced Workgroup Server Edition for digital delivery.
  • DB2 Direct Standard Edition is a digital version of DB2 Workgroup Server Edition for digital delivery.
  • DB2 for Big Data combines the relational engine of DB2 with IBM's BigInsights platform for big data and analytics. This edition is designed to enhance portability of data across relational systems and Hadoop.
  • DB2 Developer Edition is designed for a single application developer to design, build and prototype applications for deployment on any of the IBM Information Management client or server platforms.
  • Additionally, DB2 Express-C edition, an entry-level edition of the DB2 data server for the developer and partner community, is available for free. It can be installed on physical or virtual systems with any amount of CPU and RAM, and is optimized to use up to a maximum of two cores and 16 GB of memory.

    DB2 data types

    DB2 supports the standard numeric, character, and date/time data types well as LOBs, XML and user-defined types. JSON is supported via DB2 JSON, a driver-based solution that delivers JSON data representation within the context of an RDBMS.

    DB2 benchmarks

    IBM has published numerous TPC benchmarks for DB2 on all platforms supported. IBM sells DB2 for LUW direct, through business partners, online and through application specific licensing, which allows vendors such as SAP to license and sell DB2 relational DBMS as part of their applications.

    Pricing is based on processor value unit (PVU), which is a unit of measure that IBM uses to license its software. IBM applies a PVU count to each core of a processor. The pricing is then based on the number of PVUs for the processor and by the number of processors made available to DB2.

    The developer edition is licensed by authorized user, not PVU. There are additional nuances to pricing and licensing based on DB2 editions that aren't covered here.

    DB2 licensing

    The license cost for DB2 includes first-year support and subscription, entitling the owner to contact IBM for support as well as to download fixes and upgrades to future versions/releases of the product.

    DB2 for z/OS relational DBMS is sold directly by IBM and is licensed as a monthly license charge (MLC) product. There are numerous metrics available for pricing MLC products. A 90-day free trial download is available from the IBM website.

    About the authorCraig S. Mullins is a data management strategist, researcher, consultant and author with more than 30 years of experience in all facets of database systems development. He is president and principal consultant of Mullins Consulting Inc. and publisher/editor of TheDatabaseSite.com. Email him at craig@craigmullins.com.

    Email us at editor@searchdatamanagement.com and follow us on Twitter: @sDataManagement.

    This article was updated in September 2016.


    DataKinetics to Launch Game Changing DB2 Solution at IDUG | killexams.com real questions and Pass4sure dumps

    OTTAWA, ONTARIO--(Marketwire - 04/26/11) - DataKinetics, the leader in enterprise IT optimization, is pleased to announce the upcoming launch of a new JAVA to DB2 optimization solution for mainframes that will significantly decrease both the data access request time for DB2 and the load on DB2 from Java access. The product will be unveiled at IDUG, the International DB2 User Group's conference in Anaheim California, on Thursday May 5 in conjunction with a presentation by renowned DB2 expert Craig Mullins who will offer his thoughts on the benefits of the solution to mainframe users who are struggling with capacity, throughput or access issues."This product reduces the total time that it takes the Java request to execute on the mainframe by as much as 90%", said DataKinetics CEO, Allan Zander. "Mainframes eventually become hobbled by the online access as more people try to access data in a shorter period of time. With this technology, we really bypass a lot of that and we reduce the load on DB2 as well as the load in your mainframe so that you can actually process the number of transactions that you need to do."World renowned DB2 expert Craig Mullins will discuss how DataKinetics products can complement DB2 and how DataKinetics new Java to DB2 optimizer can address capacity, throughput and access issues. His presentation at IDUG will be held on Thursday May 5 at 11am (PST) at the Anaheim Marriott Hotel."The most common way to improve DB2 performance is to optimize the SQL queries. The DataKinetics solution works with DB2 to optimize performance by minimizing costly I/O", said Craig Mullins.For more details on this and other optimization solutions for critical information systems please visit DataKinetics at Booth #118 during IDUG or online at www.dkl.com.About DataKineticsDataKinetics®, the leader in enterprise IT optimization, enables the top 7000 data centers in the world to overcome their mainframe batch window, performance and capacity challenges. In business for 30 years, DataKinetics delivers distinct competitive advantage to global Fortune 500 companies with products that power nearly a billion mission-critical transactions per second every day for the world's largest banking, insurance, credit card, brokerage house and retail organizations.www.dkl.comAbout Craig MullinsCraig S. Mullins is a data management strategist, researcher, and consultant. He is president and principal consultant of Mullins Consulting, Inc. Craig has more than two decades of experience in all facets of database systems development including developing and teaching DB2 and SQL Server classes, systems analysis and design, database administration and system administrator, and data analysis and modeling. He has worked with DB2 for z/OS since Version 1. Craig is the author of a number of books including DB2 Developer's Guide and Database Administration: The Complete Guide to Practices and Procedures. Craig frequently contributes to a number of computer industry publications and speaks at industry conferences and user groups.



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