HANA Overview & Roadmap

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HANA Overview & Roadmap

  1. 1. SAP HANA Overview & RoadmapUddhav Gupta,Sr. Solution Manager, Data Warehousing PlatformTom KurtzGlobal Practice Director, BI Consulting Services
  2. 2. 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 SAPs 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. 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 is© 2011 SAP AG. All rights reserved. provided 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-infringement 2
  3. 3. Business analytics solutions from SAPOur approach Data Sources Analytic Capabilities Access Analytic Applications Enterprise Business Performance Intelligence Management Collaboration Enterprise Governance, Information Risk, and Management Compliance Data Warehousing Services and Best Practices 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 is© 2011 SAP AG. All rights reserved. provided 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-infringement 3
  4. 4. Vision: In-Memory ComputingBackground and Context Technology that allows the processing of massive quantities of real time data in the main memory of the server to provide immediate results from analyses and transactions 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 is© 2011 SAP AG. All rights reserved. provided 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-infringement 4
  5. 5. SAP Strategy for In-Memory Computing TECHNOLOGY INNOVATION  BUSINESS VALUE Real-Time Analytics, Process Innovation, Lower TCO GUIDING PRINCIPLES HEART OF FUTURE APPLICATIONS Packaged Business Solutions for Industry and Line of Business CUSTOMER CO-INNOVATION Design with customers INNOVATION WITHOUT DISRUPTION New Capabilities For Current Landscape EXPAND PARTNER ECOSYSTEM Partner-built applications, Hardware partners 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 is© 2011 SAP AG. All rights reserved. provided 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-infringement 5
  6. 6. SAP’s Currently Available In-Memory Solutions The Business Warehouse Accelerator (BWA) - Accelerates BW Queries by speeding up data acquisition and supporting very specific on-the-fly calculations & aggregations SAP BusinessObjects Explorer, accelerated version - Combines the speed of BWA with the simplicity of Explorer to gain insights by analyzing large volumes of data SAP NetWeaver Enterprise Search - Role based secured search solution for structured & un- structured data SAP CRM Customer Segmentation: Solution for determining target groups for marketing campaigns, slicing through millions of records in fractions of a second SAP Advanced Planner and Optimizer with liveCache SAP Business ByDesign analytics SAP HANA is founded on a history of building in-memory products at SAP 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 is© 2011 SAP AG. All rights reserved. provided 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-infringement 6
  7. 7. 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 applications HW Technology Innovations SAP SW Technology Innovations Multi-Core Architecture (8 x 8core CPU Row and Column Store per blade) Massive parallel scaling with many blades Compression One blade ~$50.000 = 1 Enterprise Class Server Partitioning 64bit address space – 2TB in current servers No Aggregate Tables 100GB/s data throughput Dramatic decline in price/performance Insert Only on Delta 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 is © 2011 SAP AG. All rights reserved. provided 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-infringement 7
  8. 8. SAP High-Performance Analytic Appliance (SAP HANA)Architecture SAP BusinessObjects BI Solutions Other Applications Preconfigured Analytical Appliance ■ In-Memory software + hardware SQL BICS SQL MDX (HP, IBM, Fujitsu, Cisco, DELL) In-Memory Computing Engine Software SAP HANA appliance ■ Data Modeling and Data Management SAP HANA studio ■ Real-time Data Replication Data Services for SAP Business Suite, SAP BW and 3rd Party Systems SAP HANA database Capabilities Enabled Calculation and Row & Column Planning Engine Storage ■ Analyze information in real-time at unprecedented speeds on large volumes of non- Sybase SAP Business aggregated data Replication Objects Data ■ Create flexible analytic models based on real- Server Services time and historic business data ■ Foundation for new category of applications (e.g., planning, simulation) to significantly outperform current applications in category SAP Business SAP NetWeaver 3rd Party Suite BW ■ Minimizes data duplication 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 is© 2011 SAP AG. All rights reserved. provided 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-infringement 8
  9. 9. Success with SAP HANA™Across industries and across the globe Consumer and Health Products Manufacturing Energy Communications and Media Services Technology 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 is© 2011 SAP AG. All rights reserved. provided 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-infringement 9
  10. 10. In-Memory ServicesDeployment Considerations In-Memory 2 Data Modeling and 1 3 Installation & BI Consumption Extraction Management Transactional Dashboards In-Memory System Explorer Appliance Data Analysis  1 Process for deploying In-memory appliance; involves system architects and administrators with in-memory familiarity  2 Identify respective data considerations based on relevant scenario; involves data modeling, data synchronization 3  Development of desired BI front end; reporting, dashboards, other BI outputs 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 is © 2011 SAP AG. All rights reserved. provided 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-infringement 10
  11. 11. HANA v1.0 Landscape with external systemsalong with Operating systems & Software installed Admin Workstations (WIN) End users Workstations (WIN) • SAP IMCE Studio 1.0 • MS Excel 2010 • SAP IMCE Clients 1.0 • SAP IMCE Clients 1.0 • Data Services Designer • Information Designer •Web access to BI clients • MS Excel 2010 • Web access to BI admin tools Data Sources HANA (SLES 11 SP1) BOE (Refer to PAM) SAP ERP System • SAP IMCE Server 1.0, Client , Studio • BI Platform • • SAP HANA Load Controller 1.0 • WebApp server •SAP ERP • SAP Host Agent 7.20 • Repository •SAP Host Agent 7.20 • Sybase Replication Server 15.5 + ECDA • Sybase Replication Agent (HP UNIX, SLES, AIX) Data Services (Refer to PAM) SAP BW System •Data Services 4.0 •Data Services Job Server 3rd Party systems • Repository (shared with BOE) © 2011 SAP AG. All rights reserved. 11
  12. 12. Next Generation Applications OverviewApplications – Tight coupling between application server and SAP HANA Today Tight Coupling Mid-Term (Plan) ABAP AS  With large data volumes, ABAP AS Next Generation App reading information Next Generation Apps becomes a bottleneck Procedure Program code code  Next generation Fast data applications will delegate transfer compile data intense operations & deploy DB  The runtime environment Runtime Data in memory executes complex processes in memory SAP HANA  In memory computing returns results by pointing apps to a location in shared memory 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 is© 2011 SAP AG. All rights reserved. provided 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-infringement 12
  13. 13. SAP HANA Proof-Points SAP BusinessObjects and other Applications SQL BICS MDX SAP ERP replicate SAP HANA 3rd Party SAP BW ETL 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 is© 2011 SAP AG. All rights reserved. provided 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-infringement 13
  14. 14. Business Intelligence Clients and SAP HANA 1.0Non-Certified 3rd Party BI Client SAP BusinessObjects BI 4.0 3rd party application WebI Dashboards Crystal Custom Web Microsoft Developed UI Crystal Explorer A Office Excel Semantic Layer SQL SQL MDX (ODBO)Sybase Unwired (ODBC/JDBC) (ODBC/JDBC) DBSQL BICS SAP HANA SAP In-memory Computing Engine Real Time (Appliance) ERP Sybase Replication Server SAP BusinessObjects DB Data Services SAP BW 3rd Party 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 is© 2011 SAP AG. All rights reserved. provided 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-infringement 14
  15. 15. HANA Proof Point  20x Faster Analysis with 200x Better Price/Performance  Shelfturnaround: Down to 2 days from 5 days  Eliminated out of stock scenarios during promotions 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 is© 2011 SAP AG. All rights reserved. provided 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-infringement 15
  16. 16. Query AccelerationLarge Bank – 1 Month of Customer Information Data Compression with HANA 6.3x DataTraditional DB 41.9 Compression HANA 6.6 0 5 10 15 20 25 30 35 40 45 No Schema Changes Data Volume (GB) Same Data Query Run-Time Comparison Same SQL Immediate Benefits 2660 Query 3 5.1 Query 2 5.1 1320 369x Average Query Speed-Up 1050 Query 1 3.2 0 500 1000 1500 2000 2500 3000 Query Run-Time (seconds) Traditional DB HANA© 2011 SAP AG. All rights reserved. Confidential 16
  17. 17. Additional examples for new In-Memory ApplicationsFinancial Services Oil & Gas Hedge fund trading analysis .  Operations Performance Management Real-time systematic risk management and  Business Transformation reporting based on market trading exposure  Oil Well Performance Analysis  Supply Chain Network VisibilityConsumer Products Goods  Spend Performance Analysis Supplier Risk Management Inventory Recall Reconciliation Product trace Retail Product Lifecycle and Cost management  Store Operations EPA standards compliance  Point-of-Sales Retail Sales Analytics On-Shelf Availability Analysis  Load Balance Optimization Real-time Warranty and defect analysis  Real-time completive multi-channel pricing  Product damage, returns and spoilageManufacturing Manufacturing Production and Maintenance Analytics Real-time Asset Utilization Analytics And many more …. 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 is © 2011 SAP AG. All rights reserved. provided 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-infringement 17
  18. 18. SAP In-Memory StrategyProduct Strategy and Plan “Innovation“ Mid-Term (Plan) “Transformation” “Renovation” Longer-Term (Plan) SAP HANA 1.0 Ramp-Up since Dec 2010 In-Memory Analytics Next-gen Applications One Store for Data and ■ SAP HANA real-time ■ SAP BW fully running on SAP AnalyticsCapabilities operational analytics HANA ■ SAP HANA only persistence layer ■ Complete BI Suite with BI 4 ■ SAP HANA platform for in- for SAP Business Suite runs on SAP HANA memory apps ■ SAP Business Suite optimized ■ SAP Business Suite runs on for in-memory computing SAP HANA ■ Further optimization of BI 4 Suite for SAP HANA ■ Industry and LOB Analytic Apps ■ Flexible real time analysis ■ Real-Time operational ■ Reduced landscape complexity Benefits of operations at non- planning and simulation ■ Value chain transformation aggregated level capabilities: link to execution ■ Primary persistence and optimized for SAP BW 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 is © 2011 SAP AG. All rights reserved. provided 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-infringement 18
  19. 19. Today‘s Situation Corporate BI Enterprise Data Warehouse Database Local BI SAP ERP 1 SAP ERP n Non SAP (or CRM, SRM, SCM) (or CRM, SRM, SCM) Buss App Data Data Data Mart BI ... Mart BI Mart ETL ETL DB Database DB Database Database DBThis presentation outlines our general product direction and should not be relied on in making a purchase decision. © 2011 SAP AG. All rights reserved. This presentationaand SAP„sof any kind, either express or developments are but not limited to, the implied warranties by merchantability, fitness for a particular purpose,This document is provided without warranty strategy and possible future implied, including subject to change and may be changed of SAP at any time for any reason without notice. or non-infringement 19
  20. 20. Step 1 – SAP HANA 1.0 Corporate BI Enterprise Data Warehouse (BW) Database BWA Local BI SAP ERP 1 SAP ERP n Non SAP (or CRM, SRM, SCM) (or CRM, SRM, SCM) Buss App SAP x ... SAP SAP HANA HANA HANA 1.0 Database 1.0 Database Database 1.0 SyncThis presentation outlines our general product direction and should not be relied on in making a purchase decision. © 2011 SAP AG. All rights reserved. This presentationaand SAP„sof any kind, either express or developments are but not limited to, the implied warranties by merchantability, fitness for a particular purpose,This document is provided without warranty strategy and possible future implied, including subject to change and may be changed of SAP at any time for any reason without notice. or non-infringement 20
  21. 21. Use case – Operational Reporting Flexible reporting with SAP BI tools and extreme performance No change in the application BI SAP Business Application Database No more query workload SAP HANA from reports on the database Data replication near real-time 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 is© 2011 SAP AG. All rights reserved. provided 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-infringement 21
  22. 22. Step 2 – Primary Persistence for BW Corporate BI Enterprise Data Warehouse (BW) SAP HANA (nxt) Local BI Virtual Virtual Virtual Data Mart Data Mart Data Mart SAP ERP 1 SAP ERP n Non SAP (or CRM, SRM, SCM) (or CRM, SRM, SCM) Bus App ... Database Database DatabaseThis presentation outlines our general product direction and should not be relied on in making a purchase decision. © 2011 SAP AG. All rights reserved. This presentationaand SAP„sof any kind, either express or developments are but not limited to, the implied warranties by merchantability, fitness for a particular purpose,This document is provided without warranty strategy and possible future implied, including subject to change and may be changed of SAP at any time for any reason without notice. or non-infringement 22
  23. 23. Step 3 – New Applications Corporate BI Enterprise Data Warehouse (BW) SAP HANA (nxt) Local BI Virtual Virtual Virtual New Applications Data Mart Data Mart Data Mart SAP ERP 1 SAP ERP n Non SAP (or CRM, SRM, SCM) (or CRM, SRM, SCM) Bus App ... Database Database DatabaseThis presentation outlines our general product direction and should not be relied on in making a purchase decision. © 2011 SAP AG. All rights reserved. This presentationaand SAP„sof any kind, either express or developments are but not limited to, the implied warranties by merchantability, fitness for a particular purpose,This document is provided without warranty strategy and possible future implied, including subject to change and may be changed of SAP at any time for any reason without notice. or non-infringement 23
  24. 24. Step 4 – Future Application Stack (vision) Corporate BI EDW ERP 1 ... ERP n (BW) SAP HANA Local BI Virtual Virtual Virtual New Applications Data Mart Data Mart Data Mart Non SAP Bus App DatabaseThis presentation outlines our general product direction and should not be relied on in making a purchase decision. © 2011 SAP AG. All rights reserved. This presentationaand SAP„sof any kind, either express or developments are but not limited to, the implied warranties by merchantability, fitness for a particular purpose,This document is provided without warranty strategy and possible future implied, including subject to change and may be changed of SAP at any time for any reason without notice. or non-infringement 24
  25. 25. “By 2012, 70% of Global 1000 organizations will load detailed datainto memory as the primary method to optimize BI applicationperformance.” © 2011 SAP AG. All rights reserved. - GartnerConfidential 25
  26. 26. Thank You!
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