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A2090-544 Accessment: DB2 9.7 Advanced DBA for LUW - Assessment

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Test Code : A2090-544
Test Name : Accessment: DB2 9.7 Advanced DBA for LUW - Assessment
Vendor Name : IBM
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IBM Accessment: DB2 9.7 Advanced

IBM DB2 Will target Oracle Database developers | killexams.com Real Questions and Pass4sure dumps

news

IBM DB2 Will target Oracle Database builders
  • through Jeffrey Schwartz
  • 04/24/09
  • IBM this week announced a new version of its flagship DB2 database with application as a way to provide compatibility with functions built for Oracle databases.

    Embedded in IBM's coming near near DB2 9.7, code-named "Cobra" and slated for free up in June, is software that gives compatibility with EnterpriseDB Corp.'s Postgres Plus superior Server database, which helps all Oracle records types, SQL syntax, semantics and different purposes built with Oracle PL/SQL stored methods. Postgres advanced Server is built on the open source PostgreSQL database.

    "The set of applied sciences they have now delivered will support builders of customized functions and packaged functions set up to DB2," mentioned Bernie Spang, director of approach, analytics and information management for IBM's application community.

    For IBM, it be the first time the company has licensed expertise from a issuer of open source database utility, even though EnterpriseDB founder Andy Astor said the application embedded in DB2 is in accordance with proprietary code.

    "this is not an open source play," Astor stated. "every thing else they do is open supply but that is among the approaches they make their money, via promoting that compatibility technology each to companies like IBM, in this case, and to clients within the kind of Postgres Plus advanced Server."

    EnterpriseDB aspects to a number of clients together with FTD and Sony on-line amusement that have migrated applications developed for Oracle databases to Postgres Plus. The deal with IBM "offers them with confirmed performance for enabling compatibility between DB2 and functions written for Oracle," pointed out 451 neighborhood analyst Matthew Aslett in an e mail.

    "Database migrations are advanced, time-consuming, expensive and infrequent, so any performance that makes the system more convenient is going to be welcomed by means of these organizations that are prepared to make the leap," he introduced.

    The licensing pact is the primary by means of EnterpriseDB, however Astor noted others are being negotiated.

    IBM is hoping the circulate will encourage greater consumers emigrate to its InfoSphere Warehouse 9.7 enterprise version, a knowledge-cleansing and enterprise analytics platform in line with DB2 and expertise IBM acquired from Cognos.

    the new free up is targeted at bringing facts mining, analytics and cubing to departments of enterprises and smaller corporations, Spang pointed out. additionally new in DB2 is aid for performing simultaneous transactions throughout XML and relational facts.

    about the writer

    Jeffrey Schwartz is government editor, aspects, for Redmond Developer information. you could contact him at jschwartz@reddevnews.com.


    IBM DB2 advanced business Server version authorized user alternative (v. 9.7) - media | killexams.com Real Questions and Pass4sure dumps

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    IBM introduces new unified records equipment for superior analytics across clouds | killexams.com Real Questions and Pass4sure dumps

    IBM on Tuesday unveiled its integrated Analytics device, a unified records device that makes it possible for customers to installation superior analytics capabilities across inner most, public or hybrid cloud environments.

    It supports a wide range of facts types and structures, including the IBM Db2 Warehouse On Cloud Hadoop and IBM BigSQL. or not it's developed with the IBM normal SQL engine, so clients can readily move workloads to public or inner most cloud environments. And with the IBM statistics Science event and Apache Spark embedded on the gadget, laptop learning processing is dramatically simplified. All of this cuts down on the time and money spent on steps like moving facts, statistics cleansing and records discovery, explained Rob Thomas, well-known manager of IBM Analytics.

    A "fundamental thesis they now have at IBM when it involves the subject matter of statistics science," he observed, is that "it be ultimate in case you carry the analytics, the desktop discovering, to the data as adverse to the other way round."

    for instance, a fiscal capabilities company may additionally wish to leverage statistics from a couple of sources to perform a chance management evaluation. They may load their client's tips and their stock portfolio advice into the integrated Analytics device, where or not it's encrypted. With general SQL, they could federate facts sitting on a public cloud, reminiscent of macroeconomic facts, and unstructured facts, such as Nasdaq data, sitting in a Hadoop atmosphere.

    "whereas holding client records and inventory records comfy on the analytics device, you might be federating and leveraging different facts sets outside of that equipment," Thomas defined.


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    Global Data Warehouse Management Software Industry | killexams.com real questions and Pass4sure dumps

    NEW YORK, Aug. 6, 2013 /PRNewswire via COMTEX/ -- Reportlinker.com announces that a new market research report is available in its catalogue:

    Global Data Warehouse Management Software Industryhttp://www.reportlinker.com/p01591574/Global-Data-Warehouse-Management-Software-Industry.html#utm_source=prnewswire&utm_medium=pr&utm_campaign=Logistics_and_Freight

    This report analyzes the worldwide markets for Data Warehouse Management Software in US$ Million by the following Product Segments: Data Warehouse Database Management Software, and Data Warehouse Integration Software.

    The report provides separate comprehensive analytics for the US, Canada, Japan, Europe, Asia-Pacific, Latin America, and Rest of World.

    Annual estimates and forecasts are provided for the period 2010 through 2018. Also, a six-year historic analysis is provided for these markets.

    The report profiles 37 companies including many key and niche players such as Astera Software, EMC Corporation, Heron InterAct, Hewlett-Packard, Vertica Systems, HiT Software, Inc., IBM Corporation, Informatica Corporation, Microsoft Corporation, Oracle Corporation, SAP AG, Sybase, Inc., Software AG, SAS Institute Inc., Sensage, Inc., and Teradata Corporation.

    Market data and analytics are derived from primary and secondary research. Company profiles are primarily based on public domain information including company URLs.

    I. INTRODUCTION, METHODOLOGY & PRODUCT DEFINITIONSStudy Reliability and Reporting Limitations I-1Disclaimers I-2Data Interpretation & Reporting Level I-2Quantitative Techniques & Analytics I-2Product Definitions and Scope of Study I-3Data Warehouse Database Management Software I-3Data Warehouse Integration Software I-3

    II. EXECUTIVE SUMMARY

    1. INDUSTRY OVERVIEW II-1A Quick Prelude II-1Impact of the 2007-2009 Recession in Retrospect II-2Decline in IT Spending in Europe & the United States toDampen Growth in 2013 II-3Key Market Trends, Drivers & Issues II-3Data Explosion Drives Demand for Next Generation DataWarehouse Platforms II-3Growing Focus on Business Intelligence to Benefit the DataWarehousing Market II-4Opportunity Indicator II-6Table 1: World Market for Business Intelligence Software(2013E): Breakdown of Sales (In US$ Million) by GeographicRegion (includes corresponding Graph/Chart) II-6Big Data: A Threat or an Opportunity? II-6Big Data Amplifies the Need for Data Integration Solutions II-6Big Data: A Challenge to Traditional Data Warehouse or Is It? II-7Banking & Financial Services: The Largest End UserIndustry II-9Implementation of Basel III Regulatory Framework Spurs Growthin Data Warehousing II-9Deployments of BI& Data Warehousing Grow in the HealthcareSector II-10Retail Business Intelligence Boosts Prospects for DataWarehousing Software II-11Popularity of Enterprise Data Warehouse Appliances: A Threatto Data Warehousing Software II-11Data Virtualization Trend Lays the Platform for the Evolutionof Logical Data Warehouse II-11Transition from Transaction Based DWSystems to AnalyticalBased DW Systems Set To Continue II-12Performance Demands Drives Innovations in Data WarehouseArchitecture II-13Real-Time Data Warehouse: The Cynosure of Focus II-13In-Memory Technology Gains Prominence II-14Embedded In-Database Analytics Gain Ground II-14Big Data Proliferation Spurs Development of NoSQL Databases II-14Low Cost Open Source Data Warehouse Grow in Popularity II-15Data Warehousing As a Service Turns the Competitive Heat onOn-Premises Data Warehouses II-15Market Share Findings II-16Table 2: World Data Warehousing Market (2012): PercentageShare Breakdown of Revenues of Leading Players (includescorresponding Graph/Chart) II-16Market Outlook II-16

    2. PRODUCT OVERVIEW II-17Data Warehousing: A Definition II-17Types of Data II-17Subject Oriented II-17Integrated: II-18Non-Volatile: II-18Time Variant: II-18Accessibility II-18Query Flexibility II-18Integration: II-18Multidimensional Representation II-18Information Conciseness II-18Correctness & Completeness II-18OLAP II-18Reporting II-19Ad-hoc Queries II-19Dashboards II-19Mixed Workloads II-19Predictive Analysis II-19Data Warehousing Software: A Definition II-20Primary Functions of Data Warehousing Software II-20Data Warehouse IntegrationSoftware II-21Importance & Need for Data Integration Software II-21Data Warehouse Database Management Software II-21End-Use industry Verticals II-22Insurance II-22Telecommunications II-22Retailing II-23Traffic Telemetry & Intelligent Transportation Systems II-23Research II-23Government II-24Enterprise: Inventory Management II-24Medical Health Care II-24Banking & Financial Services II-25E-Commerce II-25Logistics II-25

    3. REGULATORY SCENARIO II-26ISO 9001: 2008 II-26Tax Audits II-26Financial Services Modernization Act II-26

    4. PRODUCT LAUNCHES II-27Calpont Unveils InfiniDB Enterprise 2.0 II-27Amazon Web Services Introduces Redshift, a Cloud Data Warehouse II-28IBM Introduces InfoSphere Warehouse 10 and DB2 10 Software II-28DTCC Announces Plans to Launch a New Foreign Exchange DataRepository in Partnership with SWIFT II-28BitYota Introduces Data Warehouse Service on Amazon Web Services II-29Treasure Data Introduces Cloud-Based Data Warehouse II-29Oracle Introduces Financial Services Data Warehouse II-29EMC Launches EMC® Greenplum® Database Free Community Edition II-30Juniper Innovations Introduces WPMS Warehouse Software II-30Heron InterAct Introduces New CrossTie General LedgerConnector and InterAct Data Warehouse Solutions II-31Microsoft Introduces Novel SQL Server 2008 R2 Parallel DataWarehouse and Critical Advantage Program II-31Microsoft Introduces Advanced Version of SQL Server Fast TrackData Warehouse II-31OTC Launches New Version of PAT DWData Warehouse Solution II-32Blackboard Introduces BlackboardAnalytics Suite II-32Appfluent Unveils Visibility 90X II-32Zettaset Introduces Security Data Warehouse, a Data Warehousefor Forensic Analysis II-33Unify Square Launches PowerView 3.0 II-33Embarcadero Introduces New Version of ER/Studio XE II-34Teradata and Kalido Introduce Agile Data Warehouse II-35EMC Unveils New EMC Greenplum Data Computing Appliance II-35eScholar Introduces New Version of eScholar Complete DataWarehouse® for Postsecondary II-35HP Introduces HP Business Intelligence Assessment Services forUse with SAP Solutions II-36Fujitsu Introduces Two Data Warehousing Solutions II-36NWP Services Launches ConsumptionSmart II-37IBM Unveils 9.7 InfoSphere and DB2 II-37Oracle Unveils Oracle® Retail Data Model II-38Teradata Launches Accelerate for Demand Signal Repository II-38IBM Launches Informix Database Software II-39Infobright Unveils Windows Infobright Community Edition II-39Microsoft Launches Preconfigured Data Warehouse ReferenceArchitectures II-40Infobright and Talend Unveil Integrated Open Source Solutionsfor Data Warehousing II-40Kickfire Launches New Data Warehouse Appliance II-40Teradata Introduces Teradata 13 Database Solution II-41EMC Launches NewSolutions and Services II-41SenSage Launches SenSage 4.5 II-42

    5. STRATEGIC CORPORATE DEVELOPMENTS II-44Systems America Acquires Bartronics America II-44Deloitte Announces the Acquisition of Recombinant Data II-45KEYW Acquires Sensage II-45Teradata Acquires Aprimo II-45SenSage Enters into Partnership with Go IP Global Services II-46Virtua and Moses Cone Health System Choose Cisco UnifiedComputing SystemTM II-46QVC Chooses IBM Netezza® TwinFinTM Appliance II-47Astera Enters into Complementary Technology Partnership withNetezza II-47Astera® Software and Teradata Enter into Partnership II-48Teradata and Best Buy Sign Agreement II-48Appfluent Technology and Informatica Enter into Partnership II-48IBM Takes Over Netezza II-49HP Takes Over Stratavia II-49EMC to Take Over Greenplum II-49Oracle Takes Over Sun Microsystems II-50Oracle Takes Over Silver Creek Systems II-50IBM Signs Extended Agreement with NEC II-50Teradata Signs Agreement with Walmart II-51Claraview Inks Agreement with WFUBMC II-51BI Source Enters into Partnership with Sybase II-51NEC Signs Agreement with Netezza II-52Dell Upgrades Active Enterprise Data Warehouse Platform ofTeradata II-52HealthNow New York Deploys Informatica Data Services II-52Coffing Data Warehousing Enters into Partnership and OEMAgreement with Microsoft II-53Pakistan Telecom Mobile Enters into Agreement with Teradata II-53Oracle Takes Over GoldenGate Software II-53Acxius Strategic Consulting Enters into Partnership Agreementwith Aster Data Systems II-54Cisco Systems Acquires Tidal Software II-54expressor Software Enters into Technology Partner Agreementwith BIReady II-55Teradata Signs Agreement with SAP II-55GoldenGate Software Collaborates with Greenplum II-56Netezza Enters into Partnership with Kalido II-56HiT Software and Netezza Enter into Partnership II-57

    6. FOCUSON SELECT GLOBAL PLAYERS II-58Astera Software (USA) II-58EMC Corporation (USA) II-58Heron InterAct (USA) II-58Hewlett-Packard (USA) II-59Vertica Systems (USA) II-59HiT Software Inc.,(USA) II-59IBM Corporation (USA) II-59Informatica Corporation (USA) II-60Microsoft Corporation (USA) II-60Oracle Corporation (USA) II-60SAP AG (Germany) II-61Sybase, Inc. II-61Software AG (Germany) II-62SAS Institute Inc., II-62Sensage, Inc (USA) II-62Teradata Corporation (USA) II-62

    7. GLOBAL MARKET PERSPECTIVE II-63Table 3: World Recent Past, Current & Future Analysis for DataWarehouse Management Software Market by GeographicRegion/Country - US, Canada, Japan, Europe, Asia-Pacific,Latin America and Rest of World Markets Independently Analyzedwith Annual Sales Figures in US$ Million for Years 2010through 2018 (includes corresponding Graph/Chart) II-63

    Table 4: World Historic Review for Data Warehouse ManagementSoftware Market by Geographic Region/Country - US, Canada,Japan, Europe, Asia-Pacific, Latin America and Rest of WorldMarkets Independently Analyzed with Annual Sales Figures inUS$ Million for Years 2004 through 2009 (includescorresponding Graph/Chart) II-64

    Table 5: World 14-Year Perspective for Data WarehouseManagement Software by Geographic Region/Country - PercentageBreakdown of Dollar Sales for US, Canada, Japan, Europe,Asia-Pacific, Latin America, and Rest of World Markets forYears 2005, 2013, & 2018 (includes corresponding Graph/Chart) II-65

    Table 6: World Recent Past, Current & Future Analysis for DataWarehouse Database Management Software by GeographicRegion/Country - US, Canada, Japan, Europe, Asia-Pacific,Latin America and Rest of World Markets Independently Analyzedwith Annual Sales Figures in US$ Million for Years 2010through 2018 (includes corresponding Graph/Chart) II-66

    Table 7: World Historic Review for Data Warehouse DatabaseManagement Software by Geographic Region/ Country - US,Canada, Japan, Europe, Asia-Pacific, Latin America and Rest ofWorld Markets Independently Analyzed with Annual Sales Figuresin US$ Million for Years 2004 through 2009 (includescorresponding Graph/Chart) II-67

    Table 8: World 14-Year Perspective for Data Warehouse DatabaseManagement Software by Geographic Region/Country - PercentageBreakdown of Dollar Sales for US, Canada, Japan, Europe,Asia-Pacific, Latin America and Rest of World Markets forYears 2005, 2013, & 2018 (includes corresponding Graph/Chart) II-68

    Table 9: World Recent Past, Current & Future Analysis for DataWarehouse Integration Software by Geographic Region - US,Canada, Japan, Europe, Asia-Pacific, Latin America and Rest ofWorld Markets Independently Analyzed with Annual Sales Figuresin US$ Million for Years 2010 through 2018 (includescorresponding Graph/Chart) II-69

    Table 10: World Historic Review for Data Warehouse IntegrationSoftware by Geographic Region - US, Canada, Japan, Europe,Asia-Pacific, Latin America and Rest of World MarketsIndependently Analyzed with Annual Sales Figures in US$Million for Years 2004 through 2009 (includes correspondingGraph/Chart) II-70

    Table 11: World 14-Year Perspective for Data WarehouseIntegration Software by Geographic Region/Country - PercentageBreakdown of Dollar Sales for US, Canada, Japan, Europe,Asia-Pacific, Latin America and Rest of World Markets forYears 2005, 2013, and 2018 (includes correspondingGraph/Chart) II-71

    III. MARKET

    1. THE UNITED STATES III-1A.Market Analysis III-1Current & Future Analysis III-1High Penetration of Information Technology Ensures SustainedGrowth in US Market III-1Retailing Industry Boosts Prospects for Data WarehousingTechnology III-2Product Launches III-2Strategic Corporate Developments III-16Key Players III-29B.Market Analytics III-34Table 12: US Recent Past, Current & Future Analysis for DataWarehouse Management by Product Segment - Data WarehouseDatabase Management Software & Data Warehouse IntegrationSoftware Independently Analyzed with Annual Sales Figures inUS$ Million for Years 2010 through 2018 (includescorresponding Graph/Chart) III-34

    Table 13: US Historic Review for Data Warehouse ManagementMarket by Product Segments - Data Warehouse DatabaseManagement Software & Data Warehouse Integration SoftwareIndependently Analyzed with Annual Sales Figures in US$Million for Years 2004 through 2009 (includes correspondingGraph/Chart) III-35

    Table 14: US 14-Year Perspective for Data WarehouseManagement Market by Product Segments - Percentage Breakdownof Dollar Sales for Data Warehouse Database ManagementSoftware & Data Warehouse Integration Software Segments forYears 2005, 2013, and 2018 (includes correspondingGraph/Chart) III-36

    2. CANADA III-37A.Market Analysis III-37Current & Future Analysis III-37B.Market Analytics III-37Table 15: Canada Recent Past, Current & Future Analysis forData Warehouse Management by Product Segment - DataWarehouse Database Management Software & Data WarehouseIntegration Software Independently Analyzed with AnnualSales Figures in US$ Million for Years 2010 through 2018(includes corresponding Graph/Chart) III-37

    Table 16: Canada Historic Review for Data WarehouseManagement Market by Product Segments - Data WarehouseDatabase Management Software & Data Warehouse IntegrationSoftware Independently Analyzed with Annual Sales Figures inUS$ Million for Years 2004 through 2009 (includescorresponding Graph/Chart) III-38

    Table 17: Canada 14-Year Perspective for Data WarehouseManagement Market by Product Segments - Percentage Breakdownof Dollar Sales for Data Warehouse Database ManagementSoftware & Data Warehouse Integration Software Segments forYears 2005, 2013, and 2018 (includes correspondingGraph/Chart) III-39

    3. JAPAN III-40A.Market Analysis III-40Product Launches III-40Strategic Corporate Developments III-40B.Market Analytics III-41Table 18: Japanese Recent Past, Current & Future Analysisfor Data Warehouse Management by Product Segment - DataWarehouse Database Management Software & Data WarehouseIntegration Software Independently Analyzed with AnnualSales Figures in US$ Million for Years 2010 through 2018(includes corresponding Graph/Chart) III-41

    Table 19: Japanese Historic Review for Data WarehouseManagement Market by Product Segments - Data WarehouseDatabase Management Software & Data Warehouse IntegrationSoftware Independently Analyzed with Annual Sales Figures inUS$ Million for Years 2004 through 2009 (includescorresponding Graph/Chart) III-42

    Table 20: Japanese 14-Year Perspective for Data WarehouseManagement Market by Product Segments - Percentage Breakdownof Dollar Sales for Data Warehouse Database ManagementSoftware & Data Warehouse Integration Software Segments forYears 2005, 2013, and 2018 (includes correspondingGraph/Chart) III-43

    4. EUROPE III-44A.Market Analysis III-44Current & Future Analysis III-44B.Market Analytics III-44Table 21: Europe Recent Past, Current & Future Analysis forData Warehouse Management by Region - France, Germany,Italy, UK, Spain, Russia, Rest of Europe IndependentlyAnalyzed with Annual Sales Figures in US$ Million for Years2010 through 2018 (includes corresponding Graph/Chart) III-44

    Table 22: Europe Historic Review for Data WarehouseManagement by Region - France, Germany, Italy, UK, Spain,Russia, Rest of Europe Independently Analyzed with AnnualSales Figures in US$ Million for Years 2004 through 2009(includes corresponding Graph/Chart) III-45

    Table 23: Europe 14-Year Perspective for Data WarehouseManagement by Region - Percentage Breakdown of Dollar Salesfor France, Germany, Italy, UK, Spain, Russia, and Rest ofEurope Markets for Years 2005, 2013 and 2018 (includescorresponding Graph/Chart) III-46

    Table 24: Europe Recent Past, Current & Future Analysis forData Warehouse Management by Product Segment - DataWarehouse Database Management Software & Data WarehouseIntegration Software Independently Analyzed with AnnualSales Figures in US$ Million for Years 2010 through 2018(includes corresponding Graph/Chart) III-47

    Table 25: Europe Historic Review for Data WarehouseManagement Market by Product Segments - Data WarehouseDatabase Management Software & Data Warehouse IntegrationSoftware Independently Analyzed with Annual Sales Figures inUS$ Million for Years 2004 through 2009 (includescorresponding Graph/Chart) III-48

    Table 26: Europe 14-Year Perspective for Data WarehouseManagement Market by Product Segments - Percentage Breakdownof Dollar Sales for Data Warehouse Database ManagementSoftware & Data Warehouse Integration Software Segments forYears 2005, 2013, and 2018 (includes correspondingGraph/Chart) III-49

    4a. FRANCE III-50Market Analysis III-50Table 27: French Recent Past, Current & Future Analysis forData Warehouse Management by Product Segment - DataWarehouse Database Management Software & Data WarehouseIntegration Software Independently Analyzed with AnnualSales Figures in US$ Million for Years 2010 through 2018(includes corresponding Graph/Chart) III-50

    Table 28: French Historic Review for Data WarehouseManagement Market by Product Segments - Data WarehouseDatabase Management Software & Data Warehouse IntegrationSoftware Independently Analyzed with Annual Sales Figures inUS$ Million for Years 2004 through 2009 (includescorresponding Graph/Chart) III-51

    Table 29: French 14-Year Perspective for Data WarehouseManagement Market by Product Segments - Percentage Breakdownof Dollar Sales for Data Warehouse Database ManagementSoftware & Data Warehouse Integration Software Segments forYears 2005, 2013, and 2018 (includes correspondingGraph/Chart) III-52

    4b. GERMANY III-53A.Market Analysis III-53Strategic Corporate Developments III-53B.Market Analytics III-54Table 30: German Recent Past, Current & Future Analysis forData Warehouse Management by Product Segment - DataWarehouse Database Management Software & Data WarehouseIntegration Software Independently Analyzed with AnnualSales Figures in US$ Million for Years 2010 through 2018(includes corresponding Graph/Chart) III-54

    Table 31: German Historic Review for Data WarehouseManagement Market by Product Segments - Data WarehouseDatabase Management Software & Data Warehouse IntegrationSoftware Independently Analyzed with Annual Sales Figures inUS$ Million for Years 2004 through 2009 (includescorresponding Graph/Chart) III-55

    Table 32: German 14-Year Perspective for Data WarehouseManagement Market by Product Segments - Percentage Breakdownof Dollar Sales for Data Warehouse Database ManagementSoftware & Data Warehouse Integration Software Segments forYears 2005, 2013, and 2018 (includes correspondingGraph/Chart) III-56

    4c. ITALY III-57Market Analysis III-57Table 33: Italian Recent Past, Current & Future Analysis forData Warehouse Management by Product Segment - DataWarehouse Database Management Software & Data WarehouseIntegration Software Independently Analyzed with AnnualSales Figures in US$ Million for Years 2010 through 2018(includes corresponding Graph/Chart) III-57

    Table 34: Italian Historic Review for Data WarehouseManagement Market by Product Segments - Data WarehouseDatabase Management Software & Data Warehouse IntegrationSoftware Independently Analyzed with Annual Sales Figures inUS$ Million for Years 2004 through 2009 (includescorresponding Graph/Chart) III-58

    Table 35: Italian 14-Year Perspective for Data WarehouseManagement Market by Product Segments - Percentage Breakdownof Dollar Sales for Data Warehouse Database ManagementSoftware & Data Warehouse Integration Software Segments forYears 2005, 2013, and 2018 (includes correspondingGraph/Chart) III-59

    4d. UNITED KINGDOM (UK) III-60A.Market Analysis III-60Product Launches III-60B.Market Analytics III-61Table 36: UK Recent Past, Current & Future Analysis for DataWarehouse Management by Product Segment - Data WarehouseDatabase Management Software & Data Warehouse IntegrationSoftware Independently Analyzed with Annual Sales Figures inUS$ Million for Years 2010 through 2018 (includescorresponding Graph/Chart) III-61

    Table 37: UK Historic Review for Data Warehouse ManagementMarket by Product Segments - Data Warehouse DatabaseManagement Software & Data Warehouse Integration SoftwareIndependently Analyzed with Annual Sales Figures in US$Million for Years 2004 through 2009 (includes correspondingGraph/Chart) III-62

    Table 38: UK 14-Year Perspective for Data WarehouseManagement Market by Product Segments - Percentage Breakdownof Dollar Sales for Data Warehouse Database ManagementSoftware & Data Warehouse Integration Software Segments forYears 2005, 2013, and 2018 (includes correspondingGraph/Chart) III-63

    4e. SPAIN III-64Market Analysis III-64Table 39: Spain Recent Past, Current & Future Analysis forData Warehouse Management by Product Segment - DataWarehouse Database Management Software & Data WarehouseIntegration Software Independently Analyzed with AnnualSales Figures in US$ Million for Years 2010 through 2018(includes corresponding Graph/Chart) III-64

    Table 40: Spain Historic Review for Data WarehouseManagement Market by Product Segments - Data WarehouseDatabase Management Software & Data Warehouse IntegrationSoftware Independently Analyzed with Annual Sales Figures inUS$ Million for Years 2004 through 2009 (includescorresponding Graph/Chart) III-65

    Table 41: Spain 14-Yea

    To order this report:Logistics_and_Freight Industry: Global Data Warehouse Management Software Industry

    Contact Clare: clare@reportlinker.com US:(339) 368 6001 Intl:+1 339 368 6001

    SOURCE Reportlinker

    Copyright (C) 2013 PR Newswire. All rights reserved


    IBM Power Systems Can Do Big Data Analytics, Too | killexams.com real questions and Pass4sure dumps

    Server workloads are typically broken down into two broad categories: transactional or analytical. For most IBM i shops, the focus is heavily on the transactional side of the equation. But as IBM i shops peek over the wall into the rapidly expanding world of big data analytics, they will be pleased to find that IBM and its partners are bringing together a collection of big data tooling that will happily run on the system they already own.

    Granted, the chances of the big data analytics software running directly on IBM i are slim to none. While IBMers like Mike Cain will stand toe to toe with DB2/400…er, DB2 for i…against any relational database out there when it comes to performance, security, and scalability, the fact is that big data analytics, as it exists today, largely lives beyond the realm of relational databases.

    Most of the big data products, such as IBM’s distribution of Hadoop (called InfoSphere BigInsights), run on Linux, which is the de facto standard for the new generation of big data products. AIX still has a foothold, especially for traditional business intelligence tools like the SPSS statistics package and the Cognos reporting and data warehousing tools. But the platform focus for emerging data analytic product categories is primary Linux, according to Linton Ward, an IBM Distinguished Engineer and Chief Engineer Power Workload Optimized Systems.

    “The preponderance of analytic growth over foreseeable future is in the Linux ecosystem,” Ward tells IT Jungle. “There are many players in the analytic space that we’ll be bringing out on the Linux on Power platform over the next year or so.”

    You may be wondering why IBM thinks Power is a good platform for big data analytics when the vast majority of big data analytic products today were designed to run on X86 machines. (You think of good questions!) After all, one of the main selling points of Hadoop is that it basically gives you supercomputing-like power on cheap Intel hardware but without the supercomputing-like cost. And Power, they know, is a rung-up from Intel in the cost department.

    The answer, not surprisingly, is money. They are at the very tip of a surge in big data analytic spending, and IBM wants a piece of the action with Power. But IBM is fighting an uphill battle in that its Power servers are typically more expensive than Intel-based servers (less so recently, but still so).

    Positioning Power for platforms like Hadoop is also forcing IBM to shift from the big endian approach to a little endian one, and from a scale-up architecture to a scale-out one, Ward says.

    The limitations of clustering traditional relational databases required IBM and other big Unix server makers to focus on building massive symmetric multi-processor (SMP) servers that could house large amounts of data in a single operating system footprint. But those limitations are starting to fade away, both for transactional and analytic workloads, thanks to Hadoop, NoSQL, and other big data technologies.

    Ward, for one, is bullish on this approach to tackling the big data market opportunity with a scale-out Power architecture. A bit part of that plan is the OpenPower Foundation that IBM founded to bring together a group of partners to build “white box” servers built on Power8 chips. IBM has signed up the likes of Google, Nvidia, Mellanox, and Tyan to the OpenPower Foundation with the hope of giving IBM a scale-out story to go up against Intel.

    IBM is hoping that the higher performance and greater efficiency of its Power server will allow it to take some share of new big data workloads away from Intel. And Big Blue is putting its money where its mouth is by shipping the ship smaller 2U and 4U Power8 servers that will serve as nodes in a cluster before shipping the big-daddy SMP Power8 machines later this year.

    Whether or not placing Power’s chips on a distributed, scale-out bet works, IBM will be working to figure out ways to make big data easier to adopt for its established real-world customers running transactional systems on IBM i, AIX, and z/OS. “We’re not abandoning AIX. We’re not walking away from IBM i .We’re not that stupid to walk away from those,” Ward reassures us.

    It’s more about enabling new workloads, like Hadoop, for systems of engagement or systems of insight, he says. “It’s the notion that, for interacting with clients, the Web 2.0 environments and–to use the IBM phrase–this new cognitive computing era, they believe there is substantial growth going forward.”

    The move to a white-box, scale-out, little-endian approach with Power Linux is aimed at attracting new customers and new workloads to the platform. IBM has invested $1 billion in prepping Power Linux for its new big data and OpenStack roles. But that doesn’t mean that IBM i shops can’t ride the coattails of this investment. With a little investment in skills and software, a typical midmarket IBM i shop could position itself to start taking advantage of some of IBM’s big data investments.

    The skills required to implement and run Hadoop or a column-oriented data warehouse such as PureData for Operational Analytics (formerly Netezza) are quite different than the skills required to maintain an RPG-based ERP system running on DB2 for i. In particular, it is getting tougher and more expensive to find people with the requisite math, programming, and data science skills necessary to make the fullest and best use of big, unstructured data, which IBM says accounts for 80 percent of all new data created today.

    But it would seem that there are some cost savings to be had by utilizing Power to run both transactional workloads on IBM i and analytic workloads on Linux. At a certain level, there should be some overlap in the IT skills necessary to manage and maintain the Power environments. Having one vendor to support both server environments may also be a blessing (although it might also be a curse, depending on how you look at it).

    IBM has a decent selection of big data software packages for Power today. It starts with the Big Insights package, and includes InfoSphere streams (for streaming big data), DB2 BLU for column-oriented queries within a relational database (available only on DB2 for LUW), Cognos, SPSS, and ILOG. IBM has in-memory capabilities, recently bought a cloud-based NoSQL database company, and has no shortage of master data management, encryption, deduplication, and replication tools. It has all the parts–perhaps more than it can sometimes coherently communicate without devolving into an overwhelming morass of options and parts numbers and license types (ahem).

    And while there is a clear distinction between transactional and analytic, let’s not forget what IBM is doing with System z and the new zDoop Hadoop package it recently enabled to run there (in the Linux subsystem). Because it takes so many MIPS to move data off z/OS, some mainframe customers are better served by actually running Hadoop in place on the System z, where unstructured data from the great big world can be blended with the structured data that runs so nicely on the mainframe. If this works on System z, there’s the possibility that there could be a market for this on IBM i, which is equally encamped in the structured-data world.

    At the very least, IBM should build a connector that allows DB2 for i data to be easily pulled into Big Insights running on Power Linux. The latest release of Big Insights, version 3.0, brings a new release of the Big SQL component that allows users to work with Hadoop data via SQL. Oracle‘s database is now supported, along with DB2 LUW and other sources, so why not DB2 for i?

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    EnterpriseDB comforts HP-UX shops with PostgreSQL | killexams.com real questions and Pass4sure dumps

    EnterpriseDB – the entity that sells an extended version of the open source PostgreSQL database as well as commercial-grade support for that software – is sitting pretty.

    At just the moment that Hewlett-Packard is embroiled in a lawsuit concerning Oracle's cessation of development of its database, middleware, and applications on future Itanium processors – and therefore on current and future releases of the HP-UX variant of Unix from HP – EnterpriseDB is for the first time rolling out support for HP-UX with its PostgreSQL Plus Advanced Server 9.0 database.

    The timing for official PostgreSQL support is not coincidental. In fact, according to Karen Padir, vice president of products and marketing at the upstart database distributor, says that HP approached EnterpriseDB in January or February, before the Itanium issue erupted between Oracle and the server maker but after Oracle had acquired HP Unix rival Sun Microsystems and former HP CEO and chairman Mark Hurd had moved to Oracle as co-president and the gloves had clearly come off between these two former partners.

    HP and EnterpriseDB were working on formal support for HP-UX/Itanium platforms at the request of a number of HP customers, not because of any specific knowledge of what Oracle would do only a few weeks later in March.

    The open source PostgreSQL database has long-since run on HP-UX systems with PA-RISC or Itanium processors for years, and indeed, according to its platform release notes, the open source version can be loaded and just about anything that looks or smells like Unix or Linux as well as Windows.

    You can build PostgreSQL 7.3 or higher from source on HP-UX 10.X or 11.X versions on either PA-RISC or Itanium machines, provided you have the right compiler tools. This sort of thing is fine for a hyperscale Web company, but corporate data centers running business applications are not that bunch when it comes to software. They like binaries for target platforms and lots of hand-holding for patching and for when things go wrong.

    This is where EnterpriseDB comes in, providing commercial support as well as some features that are not available in the open source PostgreSQL that justify paying for a support contract.

    EnterpriseDB sells two versions of its database. Standard Server is a hardened version of the open source PostgreSQL code, which is open source like PostgreSQL itself, while Advanced Server has a bunch of add-ons, including an Oracle database compatibility layer, that are not in the open source program. That Oracle compatibility layer, by the way, was licensed by IBM to embed in its DB2 9.7 database and was independently licensed by data warehousing appliance maker Netezza as well before Big Blue bought the company last year.

    Apotheker Ellison PostgreSQL pinch

    HP can make Oracle feel the database pinch

    The PostgreSQL Plus Advanced Server 9.0 includes the seventh generation of this Oracle database skinning technology. EnterpriseDB has been supporting Oracle's PL/SQL language, which is used to create triggers and stored procedures that get embedded in databases, for years now, but with the 9.0 release of Advanced Server, EnterpriseDB now supports Oracle's Pro*C embedded SQL programming language, which converts SQL to C or C++ and then compiles it down to the iron to run fast and thwack against the database.

    Two of the six core people working on the PostgreSQL project work at EnterpriseDB, and Padir says that the company is absolutely undaunted about its ability to port Oracle databases to Advanced Server and point existing applications at its database management system instead of Larry Ellison's. Over the years, the company has developed an Oracle migration assessment that scans the databases, scripts, and code to reckon how hard of a port a customer is facing. The assessment has a scale from 10, dead easy, to 1, this will cause some sweating. "We get a lot of 7s," explains Padir. "But they have the expertise and they can do just about anything if a customer wants it."

    With Advanced Server 9.0, EnterpriseDB also includes a parallel database loader, which can reduce the load time by a factor of nine, depending on the hardware configuration. Advanced Server already had a tool called xDB to replicate data directly from Oracle databases to PostgreSQL databases, and with the 9.0 release, now xDB can similarly replicate to Microsoft SQL Server databases.

    The PostgreSQL community has also cooked up built-in replication and hot standby database clustering that is analogous to the Dataguard feature for Oracle's databases, and the Infinite Cache implementation of the memcached caching server running atop PostgreSQL has been tweaked to allow for server nodes to be added to the Infinite Cache cluster without having to halt the caching servers.

    Oracle cat bounce

    EnterpriseDB wants to take the wind out of Oracle's sales

    The HP-UX support is available in both the Standard and Advanced Editions of PostgreSQL Plus, so you don't have to go full-in to run the PostgreSQL database on HP-UX. Padir tells El Reg that the database will scale well up to 24 cores, and HP and EnterpriseDB are working to extend that further. While the open source PostgreSQL code will run on PA-RISC or Itanium iron with wither HP-UX 10.X or 11.X operating system versions, EnterpriseDB is only supporting HP-UX 11i v3 Update 1009 and only Itanium-based Integrity servers with PostgreSQL Plus 9.0.

    Support for Oracle's and Fujitsu's Sparc platforms running Solaris 10 is coming this summer, and AIX support has not been done formally. (EnterpriseDB did a port of its Advanced Server to Linux on Power and even beta tested it, but it has not been productized yet.) Red Hat Enterprise Linux 6.X, Centos 5.X, SUSE Linux Enterprise Server 11, Canonical Ubuntu 10.04 LTS, and Microsoft Windows Server 2008 R1 and R2. The Windows versions, by the way, as 32-bit builds.

    PostgreSQL Plus 9.0 Standard Edition costs $2,495 per server socket with basic 9x5 support and $2,995 per socket for premium 24x7 support. The Advanced Edition costs $3,995 per socket for basic support and $4,495 per socket for premium support. If you want support for the open source community edition of PostgreSQL, EnterpriseDB will be happy to do it, but that will cost you $3,250 per socket for basic support and $3,750 for premium support.

    Rather than messing around, HP should buy out IBM's stake in EnterpriseDB and just finally get itself a database of its own to sell. Apotheker has software aspirations, and while he is at it, he should get serious and buy Red Hat, too. That would give HP the operating system, middleware, and database options to counter both Oracle and IBM. While EnterpriseDB has grown decently, from 75 customers in 2006 to nearly 800 by the end of last year, it could grow a lot faster with the HP R&D and sales channel behind it. Buying Red Hat is just obvious. ®

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    weSRCH : https://www.wesrch.com/business/prpdfBU1HWO000BSBI
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