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SAP HANA Overview & RoadmapUddhav Gupta,Sr. Solution Manager, Data Warehousing PlatformTom KurtzGlobal Practice Director, BI Consulting ServicesSAP COMMUNITYNETWORK

Safe Harbor StatementThe information in this presentation is confidential and proprietary to SAP and may not be disclosedwithout the permission of SAP. This presentation is not subject to your license agreement or anyother service or subscription agreement with SAP. SAP has no obligation to pursue any course ofbusiness outlined in this document or any related presentation, or to develop or release anyfunctionality mentioned therein. This document, or any related presentation and SAP's strategy andpossible future developments, products and or platforms directions and functionality are all subjectto change and may be changed by SAP at any time for any reason without notice. The informationon this document is not a commitment, promise or legal obligation to deliver any material, code orfunctionality. This document is provided without a warranty of any kind, either express or implied,including but not limited to, the implied warranties of merchantability, fitness for a particularpurpose, or non-infringement. This document is for informational purposes and may not beincorporated into a contract. SAP assumes no responsibility for errors or omissions in thisdocument, except if such damages were caused by SAP intentionally or grossly negligent.All forward-looking statements are subject to various risks and uncertainties that could cause actualresults to differ materially from expectations. Readers are cautioned not to place undue reliance onthese forward-looking statements, which speak only as of their dates, and they should not be reliedupon in making purchasing decisions. 2011 SAP AG. All rights reserved.This presentation and SAP‘s strategy and possible future developments are subject to change and may be changed by SAP at any time for any reason without notice. This document isprovided without a warranty of any kind, either express or implied, including but not limited to, the implied warranties of merchantability, fitness for a particular purpose, or non-infringement2

Business Analytics Solutions from SAPMost complete offeringAnalytic ApplicationsEnterprise dgeting, andForecastingProfitability andCost ManagementFinancialConsolidationBy IndustryBy LoBFinancial ServicesPublic Sector and HealthcareManufacturingConsumer ProductsRetail and TelcoUtilities and more .Service, Sales, and MarketingProcurementSupply ChainFinanceSustainabilityIT, HR, and more Governance, Risk,and ComplianceEnterprise GRCAccess RiskManagementGlobal sureManagementEnterprise InformationManagementBusiness IntelligenceReporting andAnalysisDashboards andVisualizationDataServicesMaster DataManagementData nformationGovernanceBI PlatformData WarehousingEnterprise DataWarehousing 2011 SAP AG. All rights reserved.High-performanceAnalytic SolutionsData MartSolutionsThis presentation and SAP‘s strategy and possible future developments are subject to change and may be changed by SAP at any time for any reason without notice. This document isprovided without a warranty of any kind, either express or implied, including but not limited to, the implied warranties of merchantability, fitness for a particular purpose, or non-infringement3

Vision: In-Memory ComputingBackground and ContextTechnology that allows the processing ofmassive quantities of real time datain the main memory of the serverto provide immediate results fromanalyses and transactions 2011 SAP AG. All rights reserved.This presentation and SAP‘s strategy and possible future developments are subject to change and may be changed by SAP at any time for any reason without notice. This document isprovided without a warranty of any kind, either express or implied, including but not limited to, the implied warranties of merchantability, fitness for a particular purpose, or non-infringement4

SAP Strategy for In-Memory ComputingTECHNOLOGY INNOVATIONBUSINESS VALUEGUIDING PRINCIPLESReal-Time Analytics, Process Innovation, Lower TCOHEART OF FUTURE APPLICATIONSPackaged Business Solutions for Industry and Line of BusinessCUSTOMER CO-INNOVATIONDesign with customersINNOVATION WITHOUT DISRUPTIONNew Capabilities For Current LandscapeEXPAND PARTNER ECOSYSTEMPartner-built applications, Hardware partners 2011 SAP AG. All rights reserved.This presentation and SAP‘s strategy and possible future developments are subject to change and may be changed by SAP at any time for any reason without notice. This document isprovided without a warranty of any kind, either express or implied, including but not limited to, the implied warranties of merchantability, fitness for a particular purpose, or non-infringement5

SAP’s Currently Available In-Memory SolutionsThe Business Warehouse Accelerator (BWA) - Accelerates BW Queries by speeding up dataacquisition and supporting very specific on-the-fly calculations & aggregationsSAP BusinessObjects Explorer, accelerated version - Combines the speed of BWA with thesimplicity of Explorer to gain insights by analyzing large volumes of dataSAP NetWeaver Enterprise Search - Role based secured search solution for structured & unstructured dataSAP CRM Customer Segmentation: Solution for determining target groups for marketingcampaigns, slicing through millions of records in fractions of a secondSAP Advanced Planner and Optimizer with liveCacheSAP Business ByDesign analyticsSAP HANA is founded on a history of building in-memory products at SAP 2011 SAP AG. All rights reserved.This presentation and SAP‘s strategy and possible future developments are subject to change and may be changed by SAP at any time for any reason without notice. This document isprovided without a warranty of any kind, either express or implied, including but not limited to, the implied warranties of merchantability, fitness for a particular purpose, or non-infringement6

In-Memory Computing – The Time is NOWOrchestrating Technology InnovationsThe elements of in-memory computing are not new. However, dramatically improved hardware economics and technology innovationsin software have now made it possible for SAP to deliver on its vision of the Real-Time Enterprise with in-memory business applicationsHW Technology InnovationsMulti-Core Architecture (8 x 8core CPUper blade)Massive parallel scaling with manybladesSAP SW Technology InnovationsRow and Column StoreCompressionOne blade 50.000 1 EnterpriseClass ServerPartitioning64bit address space – 2TB incurrent servers100GB/s data throughputDramatic decline inprice/performance 2011 SAP AG. All rights reserved.No Aggregate TablesInsert Only on DeltaThis presentation and SAP‘s strategy and possible future developments are subject to change and may be changed by SAP at any time for any reason without notice. This document isprovided without a warranty of any kind, either express or implied, including but not limited to, the implied warranties of merchantability, fitness for a particular purpose, or non-infringement7

Making Use of Columnar Data StoreColumnar data store benefitsconceptual viewA10 B35 C2 D40 E12 Optimizes load of data to CPUHigh data compressionVery fast data aggregationMakes use of real-life fill of tables (few fields filled, fewupdates)Can be joined with row-based datamapping to memoryorganize by rowA 10 B35organize by columnA B C D E C2 D40 E12 10 35240 12 memory address 2011 SAP AG. All rights reserved.This presentation and SAP‘s strategy and possible future developments are subject to change and may be changed by SAP at any time for any reason without notice. This document isprovided without a warranty of any kind, either express or implied, including but not limited to, the implied warranties of merchantability, fitness for a particular purpose, or non-infringement8

SAP High-Performance Analytic Appliance (SAP HANA)ArchitectureSAP BusinessObjectsBICSOther ApplicationsSQLSQLMDXPreconfigured Analytical ApplianceIn-Memory software hardware(HP, IBM, Fujitsu, Cisco, DELL)In-Memory Computing Engine SoftwareSAP HANAData Modeling and Data ManagementReal-time Data Replication Data Services for SAPBusiness Suite, SAP BW and 3rd Party SystemsIn-Memory Computing EngineCapabilities EnabledCalculation andPlanning EngineModelingStudioAnalyze information in real-time atunprecedented speeds on large volumes of nonaggregated te flexible analytic models based on realtime and historic business dataFoundation for new category of applications(e.g., planning, simulation) to significantlyoutperform current applications in categorySAP BusinessSuiteSAP NetWeaverBW 2011 SAP AG. All rights reserved.Minimizes data duplication3rdPartyThis presentation and SAP‘s strategy and possible future developments are subject to change and may be changed by SAP at any time for any reason without notice. This document isprovided without a warranty of any kind, either express or implied, including but not limited to, the implied warranties of merchantability, fitness for a particular purpose, or non-infringement9

HANA v1.0 Landscape with external systemsalong with Operating systems & Software installedEnd users Workstations (WIN)Admin Workstations (WIN) MS Excel 2010 SAP IMCE Studio 1.0 SAP IMCE Clients 1.0 SAP IMCE Clients 1.0 Information Web access to BI clients Data Services DesignerDesigner MS Excel 2010 Web access to BI admin toolsHANA (SLES 11 SP1)Data SourcesSAP ERP System SAP IMCE Server 1.0, Client , Studio SAP SAP ERP SAP Host Agent 7.20 Sybase ReplicationAgent(HP UNIX, SLES, AIX)SAP BW System3rd Party systems 2011 SAP AG. All rights reserved.HANA Load Controller 1.0 SAP Host Agent 7.20 Sybase Replication Server 15.5 ECDABOE (Refer to PAM) BI Platform WebApp server RepositoryData Services (Refer to PAM) Data Services 4.0 Data Services Job Server Repository(shared with BOE)10

In-Memory ServicesDeployment Considerations2Data Modeling allation &ManagementIn-MemoryAppliance3BI ConsumptionDashboardsExplorerAnalysis1Process for deploying In-memory appliance; involves system architects and administrators with in-memory familiarity2Identify respective data considerations based on relevant scenario; involves data modeling, data synchronization3Development of desired BI front end; reporting, dashboards, other BI outputs SAP AG 2010. All rights reserved. / Page 11Internal

In-Memory ServicesService Offerings - From Assessment to Full ImplementationBusiness assessmentIdentify road map and suitablescenariosUnderstand how In-memory can assistbusiness users.Planning assessmentIdentify road map and suitablescenariosUnderstand how In-memory could fit intothe overall environmentAssess reporting situation and deriveappropriate scenarios and advice tointegrate In-memory into existing BIstrategySizing assistance, scenario applicability,performance and real-time considerationsIncludes In-memory Overview Workshopand Technical Landscape WorkshopDuration/Efforts: 10 days on-site/remote, 2consultants SAP AG 2010. All rights reserved. / Page 12Quick startQuick start of predefined businesscontentImplement one selected scenarioReal life data is used in a fully functional Inmemory environment to create quick winsDiscuss further implementation optionsIncludes In-memory Overview Workshopand Technical Landscape WorkshopDuration/Efforts: 2 consultantsFullimplementationCustomer business scenariosimplemented from data acquisitionto analyticsScope and blueprint developmentData modeling and acquisition fromidentified sourcesDesign and build analytics process anddashboardsMultiple scenarios are coveredIncludes In-memory Overview Workshopand Technical Landscape WorkshopDuration/Efforts: T&M, 2 consultantsInternal