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1Informatica’s Data Virtualization SolutionSanjay KrishnamurthiMay 28, 2013
2Problem Statement : Takes too long toget business the data it needsOn average, how long does it take to add a newsource o...
3Why Does it Take So Long?It takes too long to explainrequirementsIt takes months to change aDW/add new critical dataIt ta...
4What is Needed?PROFILE AND CLEASE DATA SOIT CAN BE READILY TRUSTEDDELIVER REUSABLE DATASERVICES TO CONSUMERSCREATE A COMM...
5Informatica Proprietary/Confidential. Informational Purposes Only. No Representation, Warranty orCommitment regarding Fut...
6Data Virtualization :Piece of Agile Data Platform Puzzle• Provides a semantic access layer atop variety of data sources• ...
7Informatica Proprietary/Confidential. Informational Purposes Only. No Representation, Warranty orCommitment regarding Fut...
8Gartner Magic Quadrant forData Integration Tools, 2011“The ability to switch seamlessly and transparentlybetween delivery...
9Sign-UpExpert RoundtablesCustomer WebinarsWhitepapers, Articles, Blogs…Data Virtualization CornerLearn More…JOIN & DISCUS...
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The Hive Data Virtualization Introduction - Sanjay Krishnamurti, Chief Architect, Informatica

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Talk by Sanjay Krishnamurthi, Chief Architect of Informatica at The Hive Panel Discussion "Data Virtualization: Beyond Traditional Data Integration" on May 28, 2013.

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The Hive Data Virtualization Introduction - Sanjay Krishnamurti, Chief Architect, Informatica

  1. 1. 1Informatica’s Data Virtualization SolutionSanjay KrishnamurthiMay 28, 2013
  2. 2. 2Problem Statement : Takes too long toget business the data it needsOn average, how long does it take to add a newsource of data to your data warehouse?On average, how long does it take to create a complexreport or dashboard with about 20 dimensions, 12measures, and 6 user access roles?2011TDWI BI BENCHMARK REPORTOrganizational and Performance Metricsfor Business Intelligence Teams1 week2 weeks3 weeks1 month2 months3 months4-6 months6 months or more11%7%7%22%20%14%12%7%On average, how long does it take to change ahierarchy (e.g. a new way of classifying productsor organizing sales regions)?1 week2 weeks3 weeks1 month2 months3 months4-6 months6 months or more25%13%8%25%10%6%8%4%1 week2 weeks3 weeks1 month2 months3 months4-6 months6 months or more15%9%13%16%16%16%9%5%
  3. 3. 3Why Does it Take So Long?It takes too long to explainrequirementsIt takes months to change aDW/add new critical dataIt takes many iterations to getthe right data/reportsChanges break integrations &impact applicationsDirectly accessing operationalsystems is not possible / idealTypical Data Integration ProcessIT Hasa Huge Backlogabcd123456DesignChangeIntegrateUnit TestValidateDeployBusiness isInvolved Too LateAs-Is Value Stream Map (LOT OF WAIT & WASTE)e
  4. 4. 4What is Needed?PROFILE AND CLEASE DATA SOIT CAN BE READILY TRUSTEDDELIVER REUSABLE DATASERVICES TO CONSUMERSCREATE A COMMON ACCESSLAYER ACROSS DATA SOURCESEnterpriseData SourcesDataVirtualization(Built-On LeanPrinciples)…PRODUCTCUSTOMER ORDERLogical View of All Underlying DataQUICKLY & DIRECTLY ACCESSDATA WITHOUT MOVEMENT00110101001001010101101010010110PortalBI Composite AppsDataConsumers
  5. 5. 5Informatica Proprietary/Confidential. Informational Purposes Only. No Representation, Warranty orCommitment regarding Future Functionality. Not to be Relied Upon in Making Purchasing Decision.Business ITTRANSFORM IN RTAdvanced Transformations,Data Quality, Data Masking4Virtual TableReplicatedCRMAccountsACCESS & MERGE2Virtual TablePROFILE IN RTBusinessManagerAnalyst,StewardDeveloper,ArchitectCommonMetadata3Virtual TableMODELCustomerNameAddressCategoryOrders1Virtual TableCRMSCALE & PERFORMAccounts7Optimizations& CachingVirtual TableMOVE OR FEDERATEAccountsCall CenterDW6Virtual TableREUSE INSTANTLYBatch Web Services5QueryEngineWSServerVirtual TableCRMAgile Data Platform
  6. 6. 6Data Virtualization :Piece of Agile Data Platform Puzzle• Provides a semantic access layer atop variety of data sources• Data needs to be clean, masked etc.• Pre-built library of advanced data transformations, e.g. merge• Integrated real-time, on-the-fly data profiling & data qualityDWBIVirtual ViewAccessMergeDeliverDWPrototypeFirstMove to DWor Instantly Reuseas SQL/WSAdvancedTransformations &Data QualityAnalyze & ProfileData & LogicAnytimeEarly BusinessInvolvement
  7. 7. 7Informatica Proprietary/Confidential. Informational Purposes Only. No Representation, Warranty orCommitment regarding Future Functionality. Not to be Relied Upon in Making Purchasing Decision.Key Considerations1000s oflines of codeTIME COSTMaintenanceNightmareModel & metadata-driven environmentTIME COSTSustain &MaintainEnabling RapidDevelopmentv/sProfile data ANDlogic anywhereTIME COST RISKGet it Right1st TimeOnly source profiling,need extra processingMany Iterations& MistakesTIME COST RISKAnalyzing &Profilingv/s Hand-coding can’t doadvanced transformsTIME COST RISKSQLXQuerySimple CleansingWeb ServiceLimited Rules,No Data QualityLeverage pre-builtlogic including qualityTIME COST RISKVirtual TableBake-inQualityIntegratingwith Qualityv/sNaturally extendyour infrastructureTIME COSTRe-purposeLogic & SkillsTIME COSTRe-work, re-deploy &re-train every timeRe-invent theWheelLeveragingInvestmentsv/sScaling withFlexibilityv/sVirtualize or physicallymaterialize in 1 toolTIME COSTPrototype First& Then ScaleEIIOptimizationsTIME COSTOverburden DataVirtualizationEIIXRISKNon-integratedtechnologies
  8. 8. 8Gartner Magic Quadrant forData Integration Tools, 2011“The ability to switch seamlessly and transparentlybetween delivery modes (bulk / batch vs. granularreal-time vs. federation) with minimal rework will bekey for IT organizations seeking to develop asuccessful data integration strategy.”Ted Friedman, VP Distinguished Analyst, GartnerLeveraging the Power of the Platform“With v9, Informatica advanced its capabilities withon-the-fly data quality and profiling, a model-drivenapproach to provisioning data services, performanceenhancements, cloud integration, common metadata,and role-specific tools.”The Forrester Wave: Data Virtualization, Q1 2012Forrester Wave: DataVirtualization, Q1 ‘12Power ofThe Platform
  9. 9. 9Sign-UpExpert RoundtablesCustomer WebinarsWhitepapers, Articles, Blogs…Data Virtualization CornerLearn More…JOIN & DISCUSS2500+ Strong“Data Virtualization & DataServices Architecture” GroupIndustry’s1st INDEPENDENTBook

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