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HP2-N44 - Selling HP Vertica Big Data Solutions - BrainDump Information

Vendor Name : HP
Exam Code : HP2-N44
Exam Name : Selling HP Vertica Big Data Solutions
Questions and Answers : 45 Q & A
Updated On : February 21, 2019
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HP2-N44 exam Dumps Source : Selling HP Vertica Big Data Solutions

Test Code : HP2-N44
Test Name : Selling HP Vertica Big Data Solutions
Vendor Name : HP
Q&A : 45 Real Questions

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HP Selling HP Vertica Big

HP Enhances cost for Vertica large records Analytics Platform with New community marketplace | killexams.com Real Questions and Pass4sure dumps

Feb 10, 2014

To assist HP Vertica users and technology companions create and sell massive information analytics solutions constructed for the HP Vertica Analytics Platform, HP has launched the HP Vertica marketplace.

The on-line vacation spot is designed to guide the creation and marketing of options and add-ons to the Vertica Analytics Platform together with connectors and third-party extensions, enterprise intelligence tools, ETL and records transformation products, connectors and equipment for HP HAVEn big statistics analytics platform, as well as industry and other OEM solutions.

in addition, the HP Vertica marketplace contains the newest solutions from HP Vertica’s innovations incubation application, permitting clients to create slicing-area huge information functions.  Open to the neighborhood for the past two months in ‘preview mode,’ it's now being officially launched, said Selland.

With the HP Vertica industry, HP says that developers and groups should be in a position to:

  • gain price from structured, semistructured and unstructured statistics—via connectors and extensions that store, control, and analyze big facts. This comprises integration with the Hadoop disbursed File equipment (HDFS) and HP HAVEn big statistics analytics platform, together with the HP Autonomy IDOL platform.
  • Get enterprise insights from big statistics with bendy plug-ins and extensions to integrate and visualize users’ facts, together with enterprise intelligence (BI) and facts visualization tools and products.
  • benefit from shared intelligence by way of attractive builders in both the HP Vertica marketplace and neighborhood via a social interface that permits users to pose questions, have interaction with subject matter specialists and evaluate previous discussions, as all questions are cataloged and searchable.
  • HP Vertica marketplace participants will even have access to the latest choices during the HP Vertica via its incubation application that allows you to consider and provide remarks, assisting book future building. These consist of:

  • HP Vertica allotted R, which helps statistics scientists overcome the scalability and performance boundaries of R programming language and address problems not up to now solvable by accelerating the evaluation of tremendous records sets by means of operating R computations on varied nodes.
  • HP Vertica Pulse, which helps organizations leverage an in-database sentiment analysis device that rankings brief facts posts, together with social data, reminiscent of Twitter feeds or product experiences, to gauge essentially the most generic topics of pastime, analyze how sentiment changes over time and establish advocates and detractors.
  • HP Vertica place, which stores and analyzes geospatial records in actual time, including areas, networks, and areas. This analytics pack gives Open Geospatial Consortium (OGC) standards-primarily based functionality and integrates with third-celebration functions. 
  • HP Vertica community market is currently available at www.vertica.com/industry. 


    Avnet rolls out an analytics channel equipment according to HP Vertica | killexams.com Real Questions and Pass4sure dumps

    Hewlett-Packard Co. put the highlight on massive records on the HP discover 2013 convention this week in Las Vegas. The seller made a number of announcements expanding its large information portfolio and, along with commercial enterprise options distributor Avnet technology options, on Wednesday brought a channel-capable large records and analytics answer based on HP's Vertica Analytics Platform.

    the primary solution obtainable through Avnet follow+ for Analytics, which became announced closing month, the massive records and analytics package targets HP channel companions with an offering designed to aid them velocity the buildout of their distinctiveness follow with integrated functions, hardware and utility. IDC estimates that massive records technologies and features will be a $23.eight billion world possibility with the aid of 2016.

    the new offering contains HP Vertica Analytics Platform commercial enterprise version (3 TB) plus utility aid; software installation, configuration and integration; HP AppSystem for Vertica (HP DL380p Gen8 V16 Server with eight TB of Serial-connected SCSI storage); Proactive Care service for the server; and on-site hardware installation.

    in accordance with Avnet, the new kit delivers a parallel database that may procedure "large volumes of information" and a true-time analytics framework that can be prolonged.

    "We took HP's Vertica and built an appliance that channel companions can take to their purchasers and go to market with -- in a single SKU -- and have a large facts and analytics answer up and operating in a matter of weeks," referred to Patrick Stewart, vice president and generic supervisor for the HP apply of Avnet features for the Americas.

    At HP's global partner conference past this year, George Kadifa, executive vice president and common manager at HP utility, changed into adamant about riding extra of the enterprise's application enterprise via channel companions -- noting that most effective a small fraction of the seller's partner neighborhood took potential of a large possibility in utility, in comparison with the number of partners that sell HP hardware. on the time, he estimated the big-facts possibility at $20 billion.

    also at that time, HP introduced the Vertica Analytics Platform into the HP PartnerOne program and announced a big information options practising and certification software for the HP Vertica Analytics Platform obtainable through HP ExpertOne.

    now not gung-ho on signing up for the Vertica training just yet? No concerns. HP partners seeking to get all started in large facts have to seem to be no further than Avnet apply+ for Analytics. accomplice certification isn't required to sell the new Vertica-based mostly big data and analytics solution. "Avnet has made the funding in certifications and working towards for them. partners utilize the technical components of Avnet services," Stewart spoke of. "This new channel-able solution helps partners bounce-beginning their big statistics and analytics apply," he stated.

    Avnet’s announcement ties in without delay to HP’s announcement, on Tuesday, of HAVEn, a large information analytics platform and open reference structure of which Vertica is one component.

    in line with Chris Selland, vp of advertising and marketing for Vertica at HP, the business’s partners should be instrumental in supplying on the vision of HAVEn as they leverage its core technologies to create new massive data analytics purposes and options designed to fulfill tailored use situations, and industry and consumer wants.

    "Avnet’s solution in response to the HP Vertica Analytics Platform is an illustration of how partners can leverage applied sciences from the HAVEn platform to convey pleasing huge data analytics solutions to their clients," he noted.

    The HP/Avnet partnership is also one path to expand channel revenue of Vertica utility and a crucial part of HP’s go-to-market method, based on Selland.

    HP additionally introduced HP Actionable Analytics services, a large information consulting observe, as a part of its HP technology capabilities; HP Vertica community edition and HP Autonomy Legacy statistics Cleanup.

    HP is holding its first HP Vertica massive statistics convention Aug. 5-7 in Boston.


    HP Vertica Introduces large records options Certification software | killexams.com Real Questions and Pass4sure dumps

    PALO ALTO, CA--(Marketwire - Jan 9, 2013) - HP ( NYSE : HPQ ) these days announced the primary big records options practising and certification program for the HP Vertica Analytics Platform.

    accessible via HP ExpertOne, the software helps organizations optimize huge data with the aid of empowering IT executives to leverage structured, semistructured and unstructured statistics.

    The growing extent, range and speed of counsel latest challenges and opportunities for companies. in accordance with a recent Gartner record, via 2015, huge information demand will reach 4.four million jobs globally however just one-third of these jobs should be filled.(1) IT gurus have to purchase the advantage obligatory to join, analyze and manipulate any class of tips, in any place, the use of any interface, to support organizations absolutely realize the capabilities of large information.

    This new training and certification program validates the capabilities and proficiency of HP Vertica equipment administrators, database analysts and software builders answerable for managing big facts analytics. Gaining certification permits IT specialists to display their ability to optimize and monetize huge facts analytics for organizational increase, whereas accelerating career construction.

    "Our partners and purchasers are desperate to comprehensive a formal certification technique that establishes their skills as big facts specialists," referred to Byron Berk, supervisor, functions and working towards, HP Vertica. "by way of providing the brand new HP Vertica massive information solutions certification, we are empowering companies to combine the vigour of the business-main HP Vertica Analytics platform with the superior analytics capabilities of their IT gurus."

    a whole bunch of purchasers and a growing associate ecosystem depend on the HP Vertica Analytics Platform to monetize large facts at hyperspeed and massive scale. purchasers and partners can become big records certified and benchmark a consumer's talents of the HP Vertica Analytics Platform with credentials offered during the HP ExpertOne software.

    To make sure the highest general of massive data training, certification requires wide practicing through coursework and true-world, on-the-job event with the HP Vertica Analytics Platform prior to taking the exam. 

    "Our shoppers understand the capabilities of massive facts, however lack the imperative abilities to optimize their big volumes of suggestions," spoke of Behfar Jahanshahi, president and chief executive officer, Interworks, an IT features and enterprise solutions issuer. "by means of partnering with HP to deliver certification for the HP Vertica Analytics Platform -- the premier facts analytics platform -- we permit our shoppers to capitalize on the huge market advantage of massive data."

    The HP ExpertOne program presents certifications and working towards to greater than 500,000 IT experts in massive information, cloud, converged infrastructure, networking, working systems, protection servers, utility, options and storage. The HP ExpertOne neighborhood is a community of certified HP channel companions, purchasers and employees who have passed certification tests that validate expertise and knowledge for credentials offered during the program.

    Pricing and availability HP Vertica massive information solutions certification is now accessible to all worldwide partners and purchasers. exam registration is obtainable at www.hp.com/go/ExpertOne.

    HP Vertica channel accomplice program additional information for resellers and expert functions corporations in regards to the partner software and Vertica is available at www.vertica.com.

    About HP HP creates new chances for technology to have a significant influence on americans, businesses, governments and society. the world's greatest technology business, HP brings collectively a portfolio that spans printing, personal computing, software, services and IT infrastructure to remedy customer problems. extra counsel about HP is obtainable at http://www.hp.com.

    (1) "Predicts 2013: big records and advice Infrastructure," Gartner, Inc., November 2012.

    This news unlock carries ahead-looking statements that involve dangers, uncertainties and assumptions. If such hazards or uncertainties materialize or such assumptions prove flawed, the outcomes of HP and its consolidated subsidiaries may range materially from these expressed or implied by means of such ahead-looking statements and assumptions. All statements apart from statements of ancient reality are statements that could be deemed forward-looking statements, including but not restricted to statements of the plans, concepts and goals of management for future operations; any statements concerning anticipated construction, efficiency, market share or competitive performance regarding items and services; any statements involving anticipated operational and economic effects; any statements of expectation or perception; and any statements of assumptions underlying any of the foregoing. hazards, uncertainties and assumptions consist of macroeconomic and geopolitical traits and activities; the competitive pressures faced by means of HP's corporations; the development and transition of new items and functions and the enhancement of existing items and services to satisfy client needs and respond to emerging technological traits; the execution and efficiency of contracts via HP and its purchasers, suppliers and companions; the insurance plan of HP's intellectual property assets, including highbrow property licensed from third events; integration and other hazards associated with company aggregate and investment transactions; the hiring and retention of key employees; assumptions related to pension and different publish-retirement charges and retirement programs; the execution, timing and outcomes of restructuring plans, including estimates and assumptions concerning the charge and the predicted advantages of imposing those plans; the decision of pending investigations, claims and disputes; and different risks that are described in HP's filings with the Securities and alternate fee, together with HP's Annual document on form 10-k for the fiscal year ended October 31, 2012. HP assumes no obligation and does not intend to update these forward-looking statements.

    © 2013 Hewlett-Packard building enterprise, L.P. The tips contained herein is area to change with out observe. The simplest warranties for HP products and features are set forth in the express warranty statements accompanying such products and features. Nothing herein should still be construed as constituting an further warranty. HP shall now not be answerable for technical or editorial mistakes or omissions contained herein.


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    Selling HP Vertica Big Data Solutions

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    Avnet rolls out an analytics channel package based on HP Vertica | killexams.com real questions and Pass4sure dumps

    Hewlett-Packard Co. put the spotlight on big data at the HP Discover 2013 conference this week in Las Vegas. The vendor made several announcements expanding its big data portfolio and, along with enterprise solutions distributor Avnet Technology Solutions, on Wednesday introduced a channel-ready big data and analytics solution based on HP's Vertica Analytics Platform.

    The first solution available through Avnet Practice+ for Analytics, which was announced last month, the big data and analytics package targets HP channel partners with an offering designed to help them speed the buildout of their specialty practice with integrated services, hardware and software. IDC estimates that big data technologies and services will be a $23.8 billion global opportunity by 2016.

    The new offering includes HP Vertica Analytics Platform Enterprise Edition (3 TB) plus software support; software installation, configuration and integration; HP AppSystem for Vertica (HP DL380p Gen8 V16 Server with 8 TB of Serial-Attached SCSI storage); Proactive Care Service for the server; and on-site hardware installation.

    According to Avnet, the new package delivers a parallel database that can process "massive volumes of data" and a real-time analytics framework that can be extended.

    "We took HP's Vertica and built an appliance that channel partners can take to their customers and go to market with -- in a single SKU -- and have a big data and analytics solution up and running in a matter of weeks," said Patrick Stewart, vice president and general manager for the HP Practice of Avnet Services for the Americas.

    At HP's Global Partner Conference earlier this year, George Kadifa, executive vice president and general manager at HP Software, was adamant about driving more of the company's software business through channel partners -- noting that only a small fraction of the vendor's partner community took advantage of a large opportunity in software, compared with the number of partners that sell HP hardware. At the time, he estimated the big-data opportunity at $20 billion.

    Also at that time, HP brought the Vertica Analytics Platform into the HP PartnerOne Program and announced a Big Data Solutions training and certification program for the HP Vertica Analytics Platform available through HP ExpertOne.

    Not gung-ho on signing up for the Vertica training just yet? No worries. HP partners looking to get started in big data have to look no further than Avnet Practice+ for Analytics. Partner certification isn't required to sell the new Vertica-based big data and analytics solution. "Avnet has made the investment in certifications and training for them. Partners utilize the technical resources of Avnet services," Stewart said. "This new channel-ready solution helps partners jump-start their big data and analytics practice," he said.

    Avnet’s announcement ties in directly to HP’s announcement, on Tuesday, of HAVEn, a big data analytics platform and open reference architecture of which Vertica is one component.

    According to Chris Selland, vice president of marketing for Vertica at HP, the company’s partners will be instrumental in delivering on the vision of HAVEn as they leverage its core technologies to create new big data analytics applications and solutions designed to meet tailored use cases, and industry and customer needs.

    "Avnet’s solution based on the HP Vertica Analytics Platform is an example of how partners can leverage technologies from the HAVEn platform to deliver unique big data analytics solutions to their customers," he said.

    The HP/Avnet partnership is also one route to expand channel sales of Vertica software and an important part of HP’s go-to-market strategy, according to Selland.

    HP also introduced HP Actionable Analytics Services, a big data consulting practice, as part of its HP Technology Services; HP Vertica Community Edition and HP Autonomy Legacy Data Cleanup.

    HP is holding its first HP Vertica Big Data Conference Aug. 5-7 in Boston.


    Optimal+ Selects HP Vertica to Enable Semiconductor Companies to Harness the Power of Big Data | killexams.com real questions and Pass4sure dumps

    HOLON, Israel--(BUSINESS WIRE)--Optimal+ today announced that it has selected HP Vertica as the big data platform to provide next-generation Business Intelligence and Analytics (BI&A) for all of its their solutions serving the semiconductor industry. Building on the HP Vertica Analytics Platform, Optimal+ is delivering unprecedented real-time visibility into the global semiconductor supply chain. As a result, companies with internal or external manufacturing operations can aggregate, analyze and act on their global manufacturing data in real-time, finding actionable insights that can drive time-sensitive decisions that will significantly improve yield, productivity and quality.

    Currently deployed throughout the global semiconductor supply chain and leading IDMs, Optimal+ solutions create profound insights from the massive amounts of big data generated in manufacturing operations. Optimal+ is the only technology vendor in the semiconductor market segment to have established a global Big Data Highway that seamlessly links decision-makers to every subcon or test floor facility in their enterprise's extended ecosystem.

    The ability to analyze vast amounts of disjointed data from multiple sources without the need to re-aggregate it means that alerts and customized reports on all online data can be requested and delivered within seconds, enabling Optimal+ customers to make business decisions faster than ever before.

    "Organizations across the globe need to reduce costs and quickly turn data into business insight by scaling analytics at high speed," says David Pieterse, GM Big Data Platform – EMEA at HP. "We are pleased that Optimal+ has selected HP Vertica due to its leadership position as a Manufacturing Intelligence solution provider to the semiconductor industry and its roadmap to provide such industry-leading big data solutions to the Electronics and Automotive markets. Optimal+ solutions are driving a major paradigm shift for how companies can achieve extraordinary value from all the data they collect and manage. Dealing with the Optimal+ leadership team was a great pleasure due to their unique vision and professional execution."

    Optimal+ delivers real-time access to diverse supply chain data, offering semiconductor enterprises a compelling alternative for high-level operational decision making such as RMA management, which is becoming a critical issue for many semiconductor vendors. With HP Vertica, customers will be able to leverage their historical RMA data to drive real-time prevention of test escapes that will dramatically improve product quality and reduce future RMAs.

    "Our customers are dealing with dramatically increasing volumes of data and rapidly changing demands in manufacturing," said Michael Schuldenfrei, Chief Technology Officer at Optimal+. “HP Vertica enables us to revolutionize how people manage and gain value from their manufacturing data. The ability to provide a transparent view into cross-facility manufacturing operations - wherever they reside - represents a true paradigm shift for our customers. It ensures that more data derived from more sources is intelligently gathered and acted upon to measurably improve our customer’s business metrics, whether it be yield, quality, productivity or anything in-between."

    About Optimal+

    Optimal+ is a global provider of Manufacturing Intelligence software solutions, enabling any semiconductor company to seamlessly aggregate, organize and act upon the global manufacturing and test data generated across their internal and external supply chains to measurably improve yield, quality and productivity. The company’s real-time, big data analytics solutions are deployed in every major foundry and OSAT currently serving the semiconductor ecosystem, processing over 20 billion chips every year on behalf of its customers and is ushering in an era of unprecedented supply chain visibility that translates into strong and measurable ROI.

    For more information, visit www.optimalplus.com.


    Define It - What Is Big Data? | killexams.com real questions and Pass4sure dumps

    What Is Big DataBubbling around and through the advertising ecosystem is what some have called "Big Data."  Is it demo data?  Location data?  Or data from that little mouseover you just did with the graphic appended to this post? - It seems like it's any piece of data we can think of, no?

    Time for some ecosystem input!

    With previous ideas on the definitions for programmatic buying, programmatic selling and real-time bidding, we reached out to a group of executives who get their hands dirty with data everyday and asked them:

    "What is 'Big Data'?"

    Click below or scroll down for more:

  • Phil Mui, Chief Product and Engineering Officer, Acxiom
  • Boris Mouzykantskii, Founder, CEO & Chief Scientist, Iponweb
  • James Deaker, Vice President of Advertising and Data Solutions, Yahoo!
  • Dev Patel, CEO, Bityota
  • Mike Driscoll, CEO, Metamarkets
  • Jeremy Barnes, Founder & CTO, Datacratic
  • Phil Mui, Chief Product and Engineering Officer, Acxiom

    "The world has always had 'big' data.  What makes 'big data' the catch phrase of 2012 is not simply about the size of the data.  'Big data' also refers to the size of available data for analysis, as well as the access methods and manipulation technologies to make sense of the data.  For many, 'Big Table', 'Map Reduce', 'Hadoop', 'No Sql', among other such technologies are strongly correlated, and often used interchangeably, with 'big data'.  The adoption of these tools and techniques enables one to make sense of the volume, velocity, and variety of big data.

    For marketers, 'big data' represents a challenge and an opportunity to develop intelligent analytical tools to better reach their customers at the right channel, right time, and right device. Big data promises significant payoffs: it enables marketers to invest proportionally to the value of existing or potential customer relationships, often in real-time.  More importantly, big data promotes a culture of data-informed decision making.  It is now much harder to justify a decision based solely on 'intuition' or 'gut' without some data analysis to back it up.  If it takes a hyped term to make data-driven decision making pervasive, I am all for it."

    Boris Mouzykantskii, Founder, CEO & Chief Scientist, Iponweb

    "Big Data is essentially a rebranding of 'normal' data. There is largely nothing new in the data available itself, but with the evolution of computer processing and storage subsystems it has become possible to not only store & interface with the entire data set, but increasingly take advantage of it in real-time.

    In the past, storing a small fraction of the most useful data meant investing serious effort into structuring it. As companies began to store all the data that they generate, structuring it became too hard and the challenge shifted to data usage.

    Today, Big Data enables us to scan the whole dataset on each query, in parallel, on multiple computers. This is incredibly insightful for analytics, but still takes significant time &  computational power. More powerful ways to use this 'big data' are now emerging by feeding it into a machine learning engine for analysis. Increasingly this is where it is being used in online advertising to best effect; enabling real-time decisions around audience behavior, impression valuation and user response prediction."

    James Deaker, Vice President of Advertising and Data Solutions, Yahoo!

    "Big data is usually characterized by three dimensions, sometimes known as the '3Vs':
  • Volume of data that exceeds traditional processing methodologies
  • Variety of data types and sources
  • Velocity of data flowing in and out of the systems
  • In our industry, big data is such a hot topic because each of these dimensions needs to be addressed effectively to improve the consumer and advertiser experience through better personalization and targeting. It is necessary to understand all of a user’s interactions with web pages and apps, ideally across all the devices they use to access your content. Volume-wise, this generates terabytes and exabytes of historical data. The variety of data is huge because the data formats vary by device, location of the user and mode of interaction. Finally, to benefit the consumer and the advertiser, the data needs to be used in real-time for user content personalization, ad-targeting or real-time bidding."

    Dev Patel, CEO, Bityota

    "Big Data can be defined by size/volume, rate of growth, and variety of structure of that data. The definition of Big Data and technologies are inextricably linked, where lack of the latter may force Big Data to peter out into a ‘damp squib.’

    Traditional relational database systems were not designed to cope with Big Data. It is the combination of the three dimensions that has given rise to new Big Data technologies broadly in the areas of NoSQL, NewSQL, Storage and Analytics.

    Digital Advertising is a classic Big Data phenomenon where data from multiple sources is variable in structure, produced at varying intervals from real-time page/ad views to when a purchase occurs, and its size is in terabytes and petabytes. Data that used to be aggregated and archived can now be used for detailed analysis to improve performance. Analytics for marketing is a key use case of Big Data -- where analysts want to be able to collect and store more data and integrate raw, full-detail data from campaigns, social feeds, audience click stream, online and offline purchase histories, etc for programmatic buying and selling, closing the loop, attribution, building predictive behavioral models, etc."

    Mike Driscoll, CEO, Metamarkets

    "Big data is data that must be distributed in storage and parallelized in processing.  If your data fits in an Excel spreadsheet, it's small.  If it fits on a single traditional server (like MySQL), it's medium.  But if your data is so large that it's spread across multiple machines, or on specialized hardware with multiple disks, congratulations:  you've got Big Data.

    Big data thus goes hand in hand with cloud-based, distributed storage systems like Amazon's S3, as well as distributed processing frameworks like Hadoop, and massively parallel processing (MPP) databases such as Oracle's Exadata and HP's Vertica.

    A fatal mistake for ad tech firms is streaming log data from a cloud of ad servers into a single analytics server, creating a slow, painful bottleneck.  When working with Big Data, one's analytics architecture must be similarly distributed and parallelized.

    Here's a table I developed to describe the differences between small, medium, and big data."

    Jeremy Barnes, Founder & CTO, Datacratic

    "'Big Data' is about using datasets that are too large for standard solutions like databases. The internet is rich in data and many online businesses have problems dealing with it all. Typical big data solutions use tools like Hadoop to run relatively simple algorithms over vast quantities of data, using lots of computers.

    These solutions have the advantage of scaling up to power the very biggest businesses, but are driven by the 'how' of implementation instead of 'what' problem to solve. Unfortunately, scalability of backend systems is rarely the main business challenge and it comes at a cost.

    I feel that by focusing on 'Big', many people are missing the point. With some care, a $10,000 server can fit several billion impression records in memory and process them much faster and cheaper than with Hadoop. Is it still Big Data if it’s running on a single computer?  Does it matter?  You should care that your solution is appropriate, not that your data is big."

    Read more:



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