SAP Real-time Data PlatformOctober 2012
The Big Challenge                            Big Opportunity                   BUSINESS NEEDS           DATA CHARACTERISTI...
Current enterprise dilemmaCan’t achieve goals due to complex and siloed IT environment           EDW                      ...
New Initiatives Placing Great Stress on Infrastructure    Big Data                           Analytics               Cloud...
Popular Solution: Make all your systems talk to each otherBut what if you want to add a new system?    Big Data           ...
Introducing the SAP Real-time Data PlatformTransforming enterprises for the 21st centuryFreedom to Innovate: Existing app...
Next generation SAP Real-time Data Platform Vision                                            Business                 Bus...
Guiding principleNon-Disruptive Migrations                                                                                ...
SAP real-time data platformRoadmap                                                                                   RTDP ...
INTEGRATE: SAP ERP on RTDP  ●   ERP on SAP Sybase ASE and SAP HANA                                            Business    ...
INTEGRATE: Real-Time Streaming Analytics on SAP HANA  ●   Sense and react to real world events in real time  ●   Stream An...
INTEGRATE: Real-time Replication  ● Real-time replication for non-SAP scenarios from systems built on SAP Sybase ASE and  ...
INTEGRATE: Master Data Governance & High VolumeMaster Data Management with SAP HANA  ●   Master data governance at creatio...
INTEGRATE: Common Information Modeling  ●   Information architecture modeling, metadata management, and data profiling for...
INTEGRATE: Common Monitoring  ● Progressively integrated system administration infrastructure for all engines in the    pl...
INTEGRATE: Big Data Performance  ●   Enhanced performance and expanded support of big data sources  ●   Accelerated sentim...
Summary          SAP has a comprehensive data management vision and strategy to 1        address your 21st century busines...
An Example for Energy Efficiency                                                    Event Driven            Analytical rep...
Replication Environment: some technical details                                         Tables:                           ...
Event Stream Processor: some technical details                     Up to 2.5 billions of                    Filtering     ...
Analytical ContentFull power by the core engines and LStandard coreengines usedfor standard                               ...
Next level SAP Real-time Data Platform allows to combine    operational, commercial and planning data                     ...
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SAP Real Time Data Platform

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Identifies the driving needs for RTDP; shows what a typical complex integration scheme might look like; discusses guiding principals for non-disruptive migrations; and provides the roadmap for RTDP

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SAP Real Time Data Platform

  1. 1. SAP Real-time Data PlatformOctober 2012
  2. 2. The Big Challenge Big Opportunity BUSINESS NEEDS DATA CHARACTERISTICS TECHNOLOGY TRENDS Emergence of Social Exploding data volumes Storage / Memory / CPU Business, Geospatial data, advances and Event Data Increasing data variety and sources including social, EDW / Distributed MPP / machine generated Multi-Channel Experience Hadoop (Mobile Experience) Accelerated data Data Mining/Predictive processing velocity analysis Quick insights and right action from huge amount of Data In-memory computing Trust in Quality & Real-time Data Access and Governance of Information Event Management© 2012 SAP AG. All rights reserved. 2
  3. 3. Current enterprise dilemmaCan’t achieve goals due to complex and siloed IT environment EDW DM DM DM DM DB DB DB DB DB DM DM DM DM DB DB DB DB ERP EDW CRM EDW Planning EDW Other Apps DB DB DB DB DB DB DB© 2012 SAP AG. All rights reserved. 3
  4. 4. New Initiatives Placing Great Stress on Infrastructure Big Data Analytics Cloud Mobile Social EDW DM DM DM DM DB DB DB DB DB DM DM DM DM DB DB DB DB DB ERP EDW CRM EDW Planning EDW Other Apps DB DB DB DB DB DB DB© 2012 SAP AG. All rights reserved. 4
  5. 5. Popular Solution: Make all your systems talk to each otherBut what if you want to add a new system? Big Data Analytics Cloud Mobile Social EDW DM DM DM DM DB DB DB DB DB DM DM DM DM DB DB DB DB DB ERP EDW CRM EDW Planning EDW Other Apps DB DB DB DB DB DB DB© 2012 SAP AG. All rights reserved. 5
  6. 6. Introducing the SAP Real-time Data PlatformTransforming enterprises for the 21st centuryFreedom to Innovate: Existing apps rejuvenated  New apps unleashed  New experiences for end users Custom Big Cloud Mobile SCM ERP Planning Analytics EDW EDW/ EDW Apps Data DM SAP Real-time Data Platform Extreme Data Management Capabilities to transact | move | store | process | analyze | deliver© 2012 SAP AG. All rights reserved. 6
  7. 7. Next generation SAP Real-time Data Platform Vision Business Business ERP Mobile Applications Warehouse Intelligence SAP Real Time Data Platform Open APIs and Protocols Federated Access Common Design & Transactional In-Memory Analytics Environment Environment Landscape Mobile Data Modelling Common Data Data EDW Data Management Management Management Management Information Management & Real-Time Data Movement© 2012 SAP AG. All rights reserved. 7
  8. 8. Guiding principleNon-Disruptive Migrations SAP Real Time Data Platform SAP HANA SAP Sybase IQ SAP Sybase ASE SAP Sybase SA Non-disruptive migration process: Key features ► Bidirectional data replication: A SAP HANA version of an application can coexist with a version running on another RTDP server. ► Complete and accurate information: Unified information management to model, integrate, cleanse, monitor, and govern a variety of data ► Common standards: Including guarantees such as high availability and disaster recovery as well as programming APIs, make development of new applications simpler. ► Common tooling: Provides a consistent experience to IT staff handling migration. ► Near zero down time: Tools, Methodologies and compatibility layers(s).© 2012 SAP AG. All rights reserved. Note: SAP Sybase ASE, SAP Sybase IQ and SAP Sybase SA will continue to be developed and supported 8
  9. 9. SAP real-time data platformRoadmap RTDP RTDP Synthesize RTDP: 2013  Complete platform extended Optimize to cloud deployment  OLTP, analytics, and streaming Integrate incorporated in single platform  Seamless data movement between on-premise and  Application transparency  Orchestrated data movement cloud for OLTP + analytics across the platform  Seamless information  Data movement choices for  Complete information management on-premise and tying applications together management capabilities in cloud RTDP  Embedded data integration &  Modeling and monitoring quality management within  Unified modeling and extended to cloud in-memory database monitoring across the platform  Common tools for modeling and monitoring© 2012 SAP AG. All rights reserved. 9
  10. 10. INTEGRATE: SAP ERP on RTDP ● ERP on SAP Sybase ASE and SAP HANA Business Business SAP ERP Mobile Applications Warehouse Intelligence SAP Real Time Data Platform Open APIs and Protocols Federated Access Common Design & Environment Environment Transactional In-Memory Analytics Landscape Modelling Common Mobile Data Data Data EDW Data Management Management Management Management Information Management & Real-Time Data Movement© 2012 SAP AG. All rights reserved. 10
  11. 11. INTEGRATE: Real-Time Streaming Analytics on SAP HANA ● Sense and react to real world events in real time ● Stream Analytics meets Operational Analytics offering extended insight Business ERP Business Intelligence Mobile Applications Warehouse SAP Real Time Data Platform Open APIs and Protocols Federated Access Common Design & Environment Environment Transactional In-Memory Analytics Landscape Modelling Common Mobile Data Data Data EDW Data Management Management Management Management Information Management & Complex Event Processing Real-Time Data Movement© 2012 SAP AG. All rights reserved. 11
  12. 12. INTEGRATE: Real-time Replication ● Real-time replication for non-SAP scenarios from systems built on SAP Sybase ASE and Oracle Databases. ● Operational Business Intelligence substantially improved through multi-source data input and analytics Business Business ERP Mobile Applications Warehouse Intelligence SAP Real Time Data Platform Open APIs and Protocols Federated Access Common Design & Environment Environment Transactional In-Memory Analytics EDW Landscape Modelling Common Mobile Data Data Data Data Management Management Management Management Information Management & Replication Real-Time Data Movement© 2012 SAP AG. All rights reserved. 12
  13. 13. INTEGRATE: Master Data Governance & High VolumeMaster Data Management with SAP HANA ● Master data governance at creation with SAP applications running on SAP HANA ● Single view of high-volume master data (ex. customer) across the enterprise across hierarchies and relationships Business ERP Business Intelligence Mobile Applications Warehouse SAP Real Time Data Platform Open APIs and Protocols Federated Access Common Design & Environment Environment Transactional In-Memory Analytics Landscape Modelling Common Mobile Data Data Data EDW Data Management Management Management Management Data Integration & Master Data Information Management & Data Quality Mgmt Management Real-Time Data Movement© 2012 SAP AG. All rights reserved. 13
  14. 14. INTEGRATE: Common Information Modeling ● Information architecture modeling, metadata management, and data profiling for single view on the enterprise information ● Link business & IT with easy-to-use UIs for modeling, managing, and monitoring information Business Business ERP Mobile Applications Warehouse Intelligence SAP Real Time Data Platform Open APIs and Protocols Federated Access Common Design & Environment Environment Transactional In-Memory Analytics EDW Landscape Modelling Common Mobile Data Data Data Data Management Management Management Management Metadata Mgmt Information Management & and Profiling Real-Time Data Movement© 2012 SAP AG. All rights reserved. 14
  15. 15. INTEGRATE: Common Monitoring ● Progressively integrated system administration infrastructure for all engines in the platform ● Evolution of appliance form factors to bring in a more embracing eco-system strategy on shared responsibility on servers and storage Business Business ERP Mobile Applications Warehouse Intelligence SAP Real Time Data Platform Federated Access Common Design & Environment Environment Transactional In-Memory Analytics EDW Landscape Modelling Common Mobile Data Data Data Data Management Management Management Management Information Management & Real-Time Data Movement© 2012 SAP AG. All rights reserved. 15
  16. 16. INTEGRATE: Big Data Performance ● Enhanced performance and expanded support of big data sources ● Accelerated sentiment intelligence and text mining across all relevant data sources with a high-level of quality ERP Business Warehouse Business Intelligence Mobile Applications SAP Real Time Data Platform Open APIs and Protocols Query & Data Federation Federated Access Common Design & Environment Environment Transactional In-Memory Analytics EDW Landscape Modelling Common Mobile Data Data Data Data Management Management Management Management Text Processing Hadoop ETL & Information Management & Hadoop Integration Real-Time Data Movement© 2012 SAP AG. All rights reserved. 16
  17. 17. Summary SAP has a comprehensive data management vision and strategy to 1 address your 21st century business issues SAP is delivering on the Real-time Data Platform for next generation 2 customer applications SAP and Sybase customers have a clear path to reduced complexity and 3 non-disruptive innovation© 2012 SAP AG. All rights reserved. 17
  18. 18. An Example for Energy Efficiency Event Driven Analytical reporting Analytics on the fly Up to 2.5 billions of events per day Oracle RA#1 ESP RS RS input (Event Stream HANA 1.0 adapter Processor) (Replication Server) HANA output SOI2 adapter input adapter RA#2 Filtering Real-Time Oracle Recoding analytical Imposition calculation SOI2 server Real-time data stream: consumption of fuel, energy consumption. Replication flowSCADA SCADA SCADA Event flow© 2012 SAP AG. All rights reserved. 18
  19. 19. Replication Environment: some technical details Tables: 1. ZIG_BOIL_ST 2. ZIG_BOILER 3. ETTIFN billing and RA 4. EVBS #1 5. EHAUISU planning data 6. EANL Oracle 15.7 7. ZSET_GAS_IMPOR .1 T ORACLE 10.2.0.5 Event Stream Processor Backup stream: RS Replication consumption of fuel, input Server adapter energy consumption.. 15.7.1 RA# 2 Oracle 15.7 Tables: SLES 11SP2, x64 .1 1. HISTORY_ 2. UNITS_ 3. INV_ 4. INV_TYPE_ 5. INV_TYPE_CLASS_ 6. RAM 16GB, 4 CORE DIC_VALUE_ 7. GROUP_VALUE_ 8. PARAM_ 9. UNIT_CLASS_ 10. UNI_ Replication flow System: 11. DEF_ 12.ORACLE 11.2.0.2 AIX x64 ATTR_DEF_ 13. DEF_CLASS_© 2012 SAP AG. All rights reserved. 19
  20. 20. Event Stream Processor: some technical details Up to 2.5 billions of Filtering Millions of events events per day Recoding per day RS ESP HANA 1.0 input 5.1 SP1 adapter HANA output adapter SOI2 input adapter SLES 11SP2, x64 RAM 8GB, 4 CORE RA# 2 Oracle 15.7 Real-Time .1 analytical calculation Replication flow System:ORACLE 11.2.0.2 AIX x64 Event flow© 2012 SAP AG. All rights reserved. 20
  21. 21. Analytical ContentFull power by the core engines and LStandard coreengines usedfor standard L - Engineanalytics <deploy> Power OLAP Calculation Designer <maintain> Engine EngineComplexalgorithms Data foundationrequire Lcoding 256 GB and 32 cores HANA node with 140 Mio Events (Records in the fact table) for the last 6 month and all report queries run constantly within 1.5 seconds© 2012 SAP AG. All rights reserved. 21
  22. 22. Next level SAP Real-time Data Platform allows to combine operational, commercial and planning data BOBJ HANA IQ Analytics & Reporting HANA++Integrationof analytics Analytics Transactio Event nal replication ECC/ERP replication SRS ERP RS Transactio (Replication (Replication nal n output output Server) Server) replication adapter adapter ESP input ESP (Event ESP Processor) Stream Top Level MES adapter (Event Stream Processor) (Event Stream Processor) Database MES input input adapter adapter Millions of events per minute Top level MES DCS/SCADA Production / Automation DCS/SCADA Systems DCS/SCADA Disclaimer: HANA++ internal name © 2012 SAP AG. All rights reserved. 22
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