BI Architecture June 2012

9,212 views

Published on

Updated Presentation showing the capabilities of the SAP BI Architecure including BW 7.3x, HANA 1.0 and BI 4.0

1 Comment
28 Likes
Statistics
Notes
No Downloads
Views
Total views
9,212
On SlideShare
0
From Embeds
0
Number of Embeds
38
Actions
Shares
0
Downloads
0
Comments
1
Likes
28
Embeds 0
No embeds

No notes for slide

BI Architecture June 2012

  1. 1. SAP Business IntelligenceSAP NetWeaver BWand BI Solution Platform Overviewincluding Sybase SolutionsRoland Kramer CustomerProduct/Solution Management BW/BI/In-Memory | SAP AGJune 2012
  2. 2. Agenda 1. SAP Businesswarehouse (BW) 7.30  Overview and Roadmap  Synergies with existing BW Accelerator 7.20 2. SAP BusinessObjects BI 4.0  Overview and Roadmap  Synergies with existing BW 7.01 and BW 7.30 3. Next Generation In-Memory (High Performance Analytical Appliance)  Overview and Roadmap HANA  Synergies with Business Suite and SAP BusinessObjects  Synergies with Sybase Portfolio 4. On Demand and Mobile Solutions  Current Information on bi.ondemand and streamwork  Mobile Solutions on Apple Devices© SAP AG 2009. All rights reserved. / Page 2 Customer
  3. 3. Quick Recap on Naming/one Voice Conclusion■ Business Warehouse BI  BW (Business/Enterprise Warehouse)■ Business Warehouse Accelerator BIA  BWA■ BusinessObjects BO (BOBJ)  SAP Business Objects BI■ BusinessObjects Polestar  SAP BusinessObjects Explorer■ Project Pioneer (Successor of BEx)  SAP BusinessObjects Analysis Office Version and OLAP Version (former Voyager)■ SAP BusinessObjects WebI  Interactive Analysis (with BI 4.0)■ Xcelsius 2008  Dashboard Builder (with BI 4.0)■ Business Intelligence at SAP is not only BI (former BO) for collecting Data (Data Services) and distributing Data (XI Platform), it is the combination TOGETHER with Business Warehouse (BW) and the In-Memory Technology (BWA) which makes the Solution a real Valuable scenario, including the NEW Products like SBO Explorer or the upcoming Advanced Analysis Frontend Product.■ In-Memory (HANA and BWA) is the MAYOR Driver for the usage of the complete SAP BW/BI Solution.■ HANA is not replacing BW, it is the database foundation for it■ Sybase Portfolio complements the existing SAP Business Intelligence Architecture.© SAP AG 2009. All rights reserved. / Page 3 Customer
  4. 4. New Approved Naming for SAP BusinessObjects BI 4.0 suite Current Name OFFICIAL APPROVED NAMES No Equivalent Name SAP BusinessObjects Business Intelligence suite SAP BusinessObjects SAP BusinessObjects Business Intelligence Enterprise Premium platform Crystal Reports SAP Crystal Reports SAP BusinessObjects Xcelsius SAP BusinessObjects Dashboards Enterprise SAP BusinessObjects Web SAP BusinessObjects Web Intelligence Intelligence (Note that the term Interactive Analysis was not communicated) SAP BusinessObjects Voyager SAP BusinessObjects Analysis, edition for OLAP (aka Advanced Analysis Web; Pioneer) SAP BusinessObjects Advanced SAP BusinessObjects Analysis, edition for Analysis (aka Advanced Microsoft Office Analysis Office; Pioneer) SAP BusinessObjects Explorer SAP BusinessObjects Explorer SAP Business Intelligence BI, BIA SAP Business Warehouse, BW, BW-Accelerator© SAP AG 2009. All rights reserved. / Page 4 Customer
  5. 5. New SAP In-Memory Computing & SAP HANA Naming Summary - Final 6/19/2011 Category SAP in-memory computing Appliance Database Cloud SAP HANA appliance SAP HANA database SAP HANA application cloud Applications Studio Application Name, powered by SAP HANA SAP HANA studio Example: SAP Smart Meter Analytics, powered by SAP HANA Note: Name should always be “SAP HANA”, never without “SAP”© SAP AG 2009. All rights reserved. / Page 5 Customer
  6. 6. The New Business Intelligence Platform Best BI and EIM in an SAP landscape (Version 3.1) Information Access SAP NetWeaver Portal Any Portal, Any Destination Crystal Web Analysis Explorer Xcelsius Reports Intelligence SAP BusinessObjects Enterprise SAP BEx WAD Data Data SAP NetWeaver BW Quality Quality Data Federator ERP Mgmt Mgmt Accelerator Financials Operations Data Foundation SAP NetWeaver Master Data Human Resources BW Management Corporate Services Metadata Management Data Quality CRM SCM Data Integrator Text Management Analysis Data Services SRM PLM 3rd-Party Databases and Applications SAP Business Suite© SAP AG 2009. All rights reserved. / Page 6 Customer
  7. 7. The New Business Intelligence Platform Best BI and EIM in an SAP landscape (Version 4.0) Information Access SAP NetWeaver Portal Any Portal, Any Destination SAP Crystal Web Analysis Explorer Dashboard BEx Reports Intelligence SAP SAP Data WAD SAP Business Intelligence - BI 4.0 Integration Federator Data Data SAP NetWeaver BW on HANA Quality Quality Master Data ERP Mgmt Mgmt Management Financials Operations Data Foundation SAP NetWeaver Human Resources BW / BW-IP Corporate Services Metadata Management Data Quality CRM SCM Text Data Integrator Management Analysis Data Services SRM PLM 3rd-Party Databases and Applications SAP Business Suite© SAP AG 2009. All rights reserved. / Page 7 Customer
  8. 8. Next generation SAP Real-time Data Platform communicated 10th of April 2011 SAP SAP SAP Big Data SAP SAP Custom Business Business Applications Analytics Mobile Apps 3rd Party Suite Warehouse BI Client SAP NetWeaver (On Premise / Cloud) SAP Real-time Data Platform Open Developer APIs and Protocols Common Landscape Management Sybase PowerDesigner SAP Sybase SQLA Party DB Scale-Out HADOOP Common Modeling MPP SAP Sybase ASE SAP HANA Platform SAP Sybase IQ 3rd SAP Sybase ESP SAP Sybase SAP Data SAP MDG, MDM Replication Server Services SAP Smart Data Services Platform SAP innovation without customer disruption© SAP AG 2009. All rights reserved. / Page 8 Customer
  9. 9. BW Enhancements Delivered in 2009/2010: Updating your software stack is key SAP NetWeaver BW 7.0 EhP1 (7.01) as THE foundation for all new BI Solutions 10+ Improvements on BW 7.01 + XI 3.1 SP2  Removal of 1 millions cells limitation  Up to 15% performance gains with query streaming  Up to 25% performance gains in the MDX driver  Better OLAP universe change management with LCM Further optimizations delivered in SPSs and SPs based on BW 7.01 and XI 3.1 * DF Facade = new communication Interface with EhP1 between Data Federator and the BW Datasources EhP1 and SBO Details: http://www.sdn.sap.com/irj/sdn/go/portal/prtroot/docs/library/uuid/808c3535-e378-2c10-83b4-cff07abef8e3© SAP AG 2009. All rights reserved. / Page 9 Customer
  10. 10. SAP NetWeaver BW 7.3 Overview - http://www.sdn.sap.com/irj/sdn/bw-73  Scalable data models with built-in Semantic Partitioned Object (SPO)  Optimized load performance for DataStore Objects and Master Data Performance & Scalability  Enhanced built-in analytical capabilities for SAP NetWeaver BW Accelerator  Query as an InfoProvider enabled for mass data handling  Tighter Integration with SAP NetWeaver BW 7.3 and SAP BusinessObjects Tools: Integration with Data Services and Metadata Manager  Optimized integration of SAP BusinessObjects BI Tools Xcelsius, WebI BusinessObjects  Combining real-time transactional data with historical data via HybridProvider  Smarter data flow modeling with remarkably reduced manual effort Development  Hierarchies integrated into SAP NetWeaver BW 7.x data flow Efficiency  Flexible modeling environment for analytical indices  ABAP based Planning Modeler Simplified  Faster system set-up with a wizard-based system configuration configuration &  Enhanced monitoring capabilities with new content for SAP NetWeaver BW operations Administration Cockpit and integration in SAP Solution Manager This presentation and SAPs 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© SAP AG 2009. All rights reserved. / Page 10 provided without a warranty of any kind, either express or implied, including but not limited to, the implied warranties of m erchantability, fitness for a particular purpose, or non-infringement. Customer
  11. 11. SAP NetWeaver BW 7.30 Integrated Planning –ontinued investments for enhanced TCO of SAP NetWeaver BW C integrated planning ABAP Planning Modeller  ABAP based Planning Modeler for a non-disruptive customizing of planning objects and their – related BW objects  The ABAP-based Planning Modeler does not require functionalities from the Java Stack for BEx Analyzer based planning applications This presentation and SAPs 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© SAP AG 2009. All rights reserved. / Page 11 provided without a warranty of any kind, either express or implied, including but not limited to, the implied warranties of m erchantability, fitness for a particular purpose, or non-infringement. Customer
  12. 12. Enterprise Data Warehousing Real-Time Business Intelligence Implement operational reporting scenarios leveraging new modeling objectsHybridProvider HybridProvider  Consists of a DataStore object and a InfoCube with automatically generated data flow in between  Combines mass data with latest delta information at query runtime  DSO object can be connected to a realtime data latest data mass data acquisition DataSource/DTP  If the DataSource can provide appropriate delta DSO InfoCube BWA information in direct access mode a Replicate VirtualProvider can be used instead of the DSO. (RDA) DTP optionally  Facilitates replication of DSO-/VirtualProvider data to SAP NetWeaver BW Accelerator by OLTP switching off database persistency of the InfoCubeEnhancements Real -Time Data Acquisition  Possibility to load master data with RDA  Enhanced error handling and scalability (daemon can handle more DataSources more efficiently) This presentation and SAPs 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© SAP AG 2009. All rights reserved. / Page 12 provided without a warranty of any kind, either express or implied, including but not limited to, the implied warranties of m erchantability, fitness for a particular purpose, or non-infringement. Customer
  13. 13. Design Aspects – Near-line Storage vs. BW Accelerator/HANA NLS BW  Alternative storage types with direct access capabilities for reporting and loading  Extracted partitions are deleted in RDBMS InfoProvider (InfoCube) (NLS storage and Online Storage together consistently reflect the BW data persistency of an InfoProvider)  NLS data is read-only  NLS part of an InfoProvider are write- protected  NLS is primarily partitioned by time/age Offline Archive BWA Acceleration Archiving Nearline StorageBWA Acquisition Replication of the BW Star Schema including master data RDBMS DB volume not affected Roll-Up and Change Run possible after data loads Optimized for fast BW Query access (load balancing by hash partitioning)Access - very frequently frequently not frequently rarely© SAP AG 2009. All rights reserved. / Page 13 Customer
  14. 14. SAP NetWeaver BW NLS with Sybase IQ and PBS Software (Partner)  With CBW PBS provides an add-on solution for the data retrieval of archived/nearlined BW data.  On the basis of the SAP ADK files, the CBW solution creates aggregates on the archive data and (optionally, if needed) index structures to enable a fast retrieval option for the archived data directly from the end-users original query.  PBS CBW NLS IQ for Sybase Analytics Server IQ utilizes the Sybase Analytics Server IQ as a Nearline database and offers extremely fast query response times. Source: PBS Software GmbH© SAP AG 2009. All rights reserved. / Page 14 Customer
  15. 15. SAP NetWeaver BW 7.30 NLS with Sybase IQ fully integrated with PBS CBW NLS IQ This presentation and SAPs 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© SAP AG 2009. All rights reserved. / Page 15 provided without a warranty of any kind, either express or implied, including but not limited to, the implied warranties of m erchantability, fitness for a particular purpose, or non-infringement. Customer
  16. 16. SAP BusinessObjects Explorer accelerated Accelerated version for any Data with BW Accelerator 7.20 Analyze BW and any data – using the Search and Explore paradigm Load data from any source  Extended support for SAP NetWeaver BW data models including hierarchies  Load any kind of data into SAP NetWeaver Accelerator using SAP Business Objects Data Services SAP NetWeaver BW Accelerator  New calculation engine providing support for calculated key figures and restricted key figures Calculation Engine  Updated user interface Aggregation Engine Index SAP NetWeaver BW Any Data© SAP AG 2009. All rights reserved. / Page 16 Customer
  17. 17. SAP NetWeaver BW Accelerator New business scenarios BW Accelerator based InfoCube persistency Optional persistency for InfoCube data in SAP NetWeaver BW Accelerator only  Persists data of InfoCubes only in SAP NetWeaver BWA to: InfoCube  reduce data redundancy (Definition) BWA  save disk space  Increase data base performance by reducing system load  E- and F- fact tables as well as dimension tables are indexed  Master data will be persisted in both SAP NetWeaver BW and SAP NetWeaver BW Accelerator  A normal Data Transfer Process can be used to load data directly into SAP NetWeaver BW Accelerator  Data of a downstream DataStore object can be replicated into BWA w/o InfoCube database persistency Source System This presentation and SAPs 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© SAP AG 2009. All rights reserved. / Page 17 provided without a warranty of any kind, either express or implied, including but not limited to, the implied warranties of m erchantability, fitness for a particular purpose, or non-infringement. Customer
  18. 18. SAP NetWeaver BW Accelerator Flexible modeling with APD & BWA in SAP NetWeaver BW 7.30 – Introduction of Analytical Index and QueryProvider with SAP BW Analytic Index (AI)  Is a data container maintained in Analysis Process Designer whose data is stored in the BW Accelerator  Analytic Index is exposed as InfoProvider to define Queries on it Bex Query Analytic Index Analysis Office QueryProvider  Queries can be enabled as InfoProvider  Supports mass data access from Queries in Analysis Process Designer scenarios This presentation and SAPs 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© SAP AG 2009. All rights reserved. / Page 18 provided without a warranty of any kind, either express or implied, including but not limited to, the implied warranties of m erchantability, fitness for a particular purpose, or non-infringement. Customer
  19. 19. SAP NetWeaver BW Accelerator Flexible modeling with APD & BWA in SAP NetWeaver BW 7.30 –d-hoc joins/unions of analytical indexes in SAP NetWeaver BWA A  Composite Provider describes a union/join of analytical indices  Lean Modeler tool is the Design-time environment to build Composite Providers SAP BusinessObjects  Join/Union operation is processed on the fly by BWA BEx Query Analysis (former ‚Pioneer„)  Composite Providers are exposed to SAP BusinessObjects Explorer  For all other BI Clients CompositeProviders are exposed as standard SAP NetWeaver BW InfoProvider (flexible) In-Memory Join with Composite Provider data flow definition This presentation and SAPs 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© SAP AG 2009. All rights reserved. / Page 19 provided without a warranty of any kind, either express or implied, including but not limited to, the implied warranties of m erchantability, fitness for a particular purpose, or non-infringement. Customer
  20. 20. Introducing BW Workspaces A BW Workspace is a dedicated area in a BW system where new models can be created based on central BW and local data (e.g. flat files). Workspaces can be maintained and controlled by IT and used by local departments to react quickly to new and changing requirements. Workspaces can bridge the gap between central governance requirements and local flexibility needs. IT-Governed Space Workspace for Controlling Workspace for HR© SAP AG 2009. All rights reserved. / Page 20 Customer
  21. 21. SAP NetWeaver BW Accelerator BW Workspaces with BW 7.30 GA Version –WA Workspaces for individual BWA usage within Departments B  All new BW/BWA features available in one workspace with is governed by IT, e.g. assigned Memory, etc. and used by local departments. Excel/CSV upload by Business User Any BW InfoProvider with a BWA Index  InfoCube / VirtualProvider  Masterdata Provider  QueryProvider Analytic Indexes  APD  SAP BO DataServices / IndexDesigner Query results  QueryProvider  APD  AnalyticIndex  Query result  Excel  Upload  Query copy / Query definition re-use on Workspace Provider This presentation and SAPs 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© SAP AG 2009. All rights reserved. / Page 21 provided without a warranty of any kind, either express or implied, including but not limited to, the implied warranties of m erchantability, fitness for a particular purpose, or non-infringement. Customer
  22. 22. Introducing BW Workspaces Dedicated views for both IT and business Workspace Designer for key users in business departments • Browser-based tool running in SAP NetWeaver Business Client or SAP NetWeaver Portal • Easy upload of local flat files, Query results and BW DataSources into Local Provider • Merge data of Local Providers with data from SAP NetWeaver BW to create new data models (CompositeProvider) • Monitor Workspace with regards to size and number of objects created BW Workspace Designer in SAP NetWeaver Business Client© SAP AG 2009. All rights reserved. / Page 22 Customer
  23. 23. SAP NetWeaver BW 7.0 / SAP NetWeaver BWA 7.0 Starting point of BW and in-memory Highly scalable in-memory solution to improve query performance while lowering the cost of operation SAP NetWeaver BW 7.0 SAP NetWeaver BWA 7.0 Calculation InfoCube Index Engine DW Management Analytic Engine Aggregation Engine Metadata DBMS Aggregates Aggregates  Speed up query performance factor 10 to 100  Save time to build and maintain aggregates at the same time saving disk space  Extremely shortened roll-up and change run times© SAP AG 2009. All rights reserved. / Page 23 Customer
  24. 24. Accelerate and Improve Any of Your Data Map, transform, cleanse, and index In-Memory (1) Define In-Memory Index model using SAP BusinessObjects Data Services  Use Index Designer add-in to define model  Index model is a flattened view of information (2) Map In-Memory Index to 1 or more data sources  Transform, cleanse and merge data from any data source  Broad connectivity to databases, apps, legacy, file formats, and unstructured data (3) Schedule & run SAP BusinessObjects Data Services jobs  New data and changed data is automatically indexed Data Services Databases Star/OLAP Analyze Index Enterprise Applications Legacy BWA Mainframes In-Memory Engine Transform, Cleanse & Merge Explorer Available today© SAP AG 2009. All rights reserved. / Page 24 Customer
  25. 25. SAP NetWeaver BW 7.3 / SAP NetWeaver BWA 7.2 Enhanced in-memory scenarios Significant performance enhancements and new object support SAP NetWeaver BW SAP NetWeaver BW Accelerator Calculation Engine  Calculation DW Engine Aggregation Engine DBMS Management Analytic Analytic indexes  Engine Data Store Objects  Master Data  Metadata InfoCube Index Infocube DBMS Persistency Infocube Infocube Persistency Persistency  Acceleration of additional EDW objects like DSOs, Master Data Objects, Analytic Indexes  New delegated calculations to BWA and accelerated analytic operations (e.g. count distinct)  New “SAP NetWeaver BWA only” InfoCube data persistency option This presentation and SAPs 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 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.© SAP AG 2009. All rights reserved. / Page 25 Customer
  26. 26. SAP NetWeaver BW 7.3 SP05 running on HANA Rampup started 7th of November 2011 with HANA 1.0 SP03 SAP NetWeaver BW on HANA based system (HANA as DB foundation) SAP NetWeaver BW In-Memory DB (HANA) BW Accelerator functionality Includes SAP NetWeaver Calculation Engine DW Aggregation Engine DBMS Management Analytic indexes Analytic Engine Data Store Objects Master Data Metadata InfoCube Index  DBMS Single Data Management for Row- and Column based storage   Integrated engine for data management and in-memory processing of analytical capabilities  Reduced TCO compared to conventional RDBMS  Pure DB conversion. No re-implementation required. This presentation and SAPs 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 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.© SAP AG 2009. All rights reserved. / Page 26 Customer
  27. 27. DB conversion to HANA’s In-Memory Computing Engine: SAP NetWeaver BW 7.30 SAP NetWeaver BW 7.30, SPx Calculation Calculation DW Engine DW Engine Management Apply SP 05 Management Analytic Analytic Engine Engine Metadata Metadata SAP DBMS NetWeaver In-Memory DB BWA 7.0 / 7.20 In-Memory Computing Engine (IMCE) DB Conversion (heterogeneous System copy) DB Conversion can be performed starting with SAP NetWeaver BW 7.30 SPx (x = tbd)  SAP standard DB migration procedure via R3load (includes Hana/ICE specific adjustments and cleanups)  BW on Hana natively delivers BWA functionality for BW objects. It is not required to run a seperate BWA.  Post-DB Conversion process: a conversion of InfoCubes and DSOs into new Hana-optimized object types must be performed to make optimal use of new In-Memory technology. Objects can be converted on an object-by-object basis.  For BW 7.3 Objects with primary persistence in BWA, these object can be rebuild from their associated data source (e.g. BWA Infocubes and SnapshotIndexes for VirtualProvider, QueryProviders, and MultiProviders)  After conversion, all query, OLAP, planning, load, etc processes run as before, adjustments are only required with the customer wants to leverage in-memory optimizations© SAP AG 2009. All rights reserved. / Page 27 Customer
  28. 28. Evolving In-Memory Footprint in SAP NetWeaver BW Data Data Persistency BW 7.0 BW 7.3 Planned: BW 7.3 on HANA Modeling and Runtime DB + BWA 7.0 DB + BWA 7.2 SP5 and beyond In-memory Planning Engine planning engine Enterprise Data Warehouse and Data Mart Modeling with SAP NetWeaver BW Additional First calculation Analytic Engine scenarios in BWA calculations in-memory MultiProvider Consumption of Filter + Data Manager aggregation handling and HANA models in flexible joins BW In-Memory BWA instead of BWA-only InfoCubes aggregates InfoCubes optimized InfoCubes In-Memory BWA reporting DataStore Objects for DSOs optimized DataStore Objects HANA data for EDW Processes BW Staging This presentation outlines our general product direction and should not be relied on in making a purchase decision. This presentation is not subject to your license agreement or any other agreement with SAP. SAP has no obligation to pursue any course of business outlined in this presentation or to develop or release any functionality mentioned in this presentation. This presentation and SAPs 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 provided without a warranty of any kind, ei ther express or implied, including but not limited to, the implied warranties of merchantability, fitness for a particular purpose, or non-infringement. SAP assumes no responsibility for errors or omissions in this document, except if such damages were caused by SAP intentionally or grossly negligent.© SAP AG 2009. All rights reserved. / Page 28 Customer
  29. 29. Introducing the SAP Business Analytic Engine In-Memory Computing to provide immediate results Transactional and analytic data Business Modeling acceleration and management in a single environment: SQL  a high performance in-memory computing engine In-Memory Calculation Computing Engine MDX  a powerful and flexible data calculation engine  supports SQL & MDX Data Utilities  a unified information modeling design environment Business Analytic Engine  a data repository to persist views of business information HANA - The High Performance ANalytical Appliance by SAP HANA = BAE as Appliance (next Generation BWA) HANA This presentation and SAPs 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© SAP AG 2009. All rights reserved. / Page 29 provided without a warranty of any kind, either express or implied, including but not limited to, the implied warranties of m erchantability, fitness for a particular purpose, or non-infringement. Customer
  30. 30. In-Memory Computing Product “SAP HANA” SAP High Performance Analytic Appliance What is SAP HANA? SAP BusinessObjects BI SAP HANA is a preconfigured out of the box Appliance and other BI clients  In-Memory software bundled with hardware delivered SQL from the hardware partner (HP, IBM, CISCO, Fujitsu) BICS MDX  In-Memory Computing Engine (“IMCE”) SAP HANA modeling  Tools for data modeling, data and life cycle management, security, operations, etc.  Real-time Data replication via Sybase Replication SAP Business Server Suite  Support for multiple interfaces Replication  Content packages (Extractors and Data Models) introduced over time SAP HANA Capabilities Enabled DS 4.0 3rd Party  Analyze information in real-time at unprecedented speeds on large volumes of non-aggregated data. SAP BW ETL  Create flexible analytic models based on real-time and historic business data SAP ERP  Foundation for new category of applications (e.g., planning, simulation) to significantly outperform current applications in category  Minimizes data duplication© SAP AG 2009. All rights reserved. / Page 30 Customer
  31. 31. SAP High Performance Analytic Appliance (SAP HANA) – current ideas SAP HANA is planned to be ... ... the first product which incorporates the SAP In-Memory Computing Engine ... shipped as an appliance with our hardware partners Access information via SQL or MDX from SAP Business Objects SAP In-Memory Computing Engine HANA modeling Load data using Create views on data ETL or data in a visual modeling HANA replication environment© SAP AG 2009. All rights reserved. / Page 31 Customer
  32. 32. SAP High Performance Analytic Appliance Potential use case with 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 HANA from reports on the database Data replication near real-time© SAP AG 2009. All rights reserved. / Page 32 Customer
  33. 33. SAP High Performance Analytic Appliance Potential use case for agile data marts Flexible reporting with SAP BI tools and extreme performance Load data w/ data services BI Create views on data Other data to expose agile marts (market data, demographical data) to clients HANA modeling Data Warehouse (e.g. SAP BW) HANA Load data w/ data services© SAP AG 2009. All rights reserved. / Page 33 Customer
  34. 34. Business Intelligence Platform with HANA Showing all components in the solution overview MSFT Information Access Excel Analysis Crystal Web HANA Explorer Xcelsius Studio Office/OLAP Reports Intelligence SAP BusinessObjects Intelligence - BI 4.0 ERP Financials SAP Operations Data Foundation HANA Replication Human Resources Corporate Services CRM SCM Data Quality ETL Data Integrator Management process Data Services - DS 4.0 SRM PLM SAP Business Suite© SAP AG 2009. All rights reserved. / Page 34 Customer
  35. 35. SAP In-Memory Strategy Product Strategy for HANA 2012+ “Transformation” HANA 2+ 2011-12 “Innovation“ Q4 2010 HANA 1.0 SP03 ff. “Renovation” HANA 1.0 In-Memory Analytics Next generation One Store for Data and ■ HANA 1.0 Real-time operational applications Analytics analytics with HANA 1.0 Capabilities ■ SAP BW fully running on HANA ■ HANA only persistence layer for SAP ■ Complete BI Suite with BI 4.0 Business Suite 1.0 SP03 (Aurora) runs on HANA ■ SAP Business Suite optimized for ■ HANA 1.0 platform for In-Memory ■ SAP Business by Design 2.6 runs In-Memory Apps on in-memory ■ Business Suite runs on HANA 2.0 ■ SBOP 4.x (Aurora) unified modeling with HANA ■ Industry and LOB Business Analytics Solutions “BAS” ■ Flexible real time analysis of ■ Real-Time operational ■ Reduced landscape Benefits operations at non-aggregated planning, simulation and complexity level forecasting: link to execution ■ Value chain transformation© SAP AG 2009. All rights reserved. / Page 35 Customer
  36. 36. SAP and Sybase Analytic Acceleration Solutions Solution Highlights SAP HANA Sybase IQ Analytics Server In-Memory Row/Column-based Analytic Appliance Column-based RDBMS IQ SAP HANA is: Sybase IQ is:  A multi-purpose, data source agonistic in-memory  A highly optimized, persistent and multi-platform appliance that combines SAP software along with analytics server designed from the start for the most hardware optimized and delivered by SAP‟s leading challenging analytics requirements hardware partners SAP HANA: Sybase IQ:  Enables organizations to analyze business  Supercharges analytics performance 10-100x times operations on large volumes of SAP transactional from extensive transaction histories and perform information long-tail analysis on data  Allows real-time analysis of both SAP and non-SAP  Correlates current data with many years of company information as it happens in order to react quickly to information including analysis of unstructured data market conditions Sybase IQ is the ongoing analytics data management SAP HANA is the technology foundation going forward for platform for SAP/Sybase innovative new applications based on in-memory technology Sybase IQ SAP HANA  is recognized as a leader in Gartner‟s Magic  Is the evolution of SAP‟s successful in-memory Quadrant and Forrester Wave Data Warehouse technology used today in many SAP solutions and reports by thousands of SAP customers  is the foundation for analytical applications with more than 3500 installations worldwide© SAP AG 2009. All rights reserved. / Page 36 Customer
  37. 37. SAP and Sybase In-Memory Analytic Solutions Ideal Environments Application Acceleration Business Intelligence Environment Technology Solution SAP ERP SAP HANA SAP BusinessObjects BI (Release 4.6c or later) SAP NetWeaver BW SAP BusinessObjects SAP NetWeaver BW Accelerator Explorer Non-SAP analytics/data Sybase IQ IQ SAP BusinessObjects BI© SAP AG 2009. All rights reserved. / Page 37 Customer
  38. 38. Business Analytics Tools + Platform SAP+Sybase Solutions SAP BusinessObjects BI Solutions Business Intelligence MDM Data Federator Power Designer Enterprise Information Data Services Sybase Replication Server Management Metadata Management Sybase ETL BW SAP HANA Sybase IQ Data (Data Warehouse) Foundation Operational BI/ Complex Event Event Insight Sybase Aleri Streaming Processing Transactional SQL MaxDB ASE RDBMS Anywhere© SAP AG 2009. All rights reserved. / Page 38 Customer
  39. 39. SAP HANA and IQ Synergies Orchestrating Technology Innovations In-Memory Computing Vision SAP HANA Sybase IQ Share Experience, Expertise, IP Standard SQL 99, XML support In-Database Analytics MapReduce, Cloud-enabled SAP BusinessObjects BI IQ SAP BusinessObjects EIM Column / Row Store Column Store Compression Compression In-Memory Data Modeling / Calculation Disk optimized Engine Custom Applications In-Memory Optimized IQ Indexes Infusion of In-Memory SAP Optimized Technology SAP In-Memory Computing Optimized for Unstructured Data Platform Future innovation for our joint acceleration technology will be optimized for seamless data management across Memory, Cache/SSD and Disk© SAP AG 2009. All rights reserved. / Page 39 Customer
  40. 40. Sybase IQ 15 – Next Generation Column Store Platform Sybase IQ 15 Engine Query parallelism Communications & FIPS, Kerberos Security Advanced query algorithms and IPV6 support 3-byte tokenization Multiplex Grid Management Administration Framework Loading Query System Optimizer Delayed projection Large data loads Direct loads from client Multi-node loading Range partitioning Configurable table spaces Resource mgmt Column Indexing Multiplex Grid admin Sub-system Independent scale out Column Storage Multi-reader, multi-writer Processor Full duplex interconnect Storage Area Network Bulk and incremental loads Grid based multi-node loads FDCC and IPV6 support Client side direct loads Upserts, table lock loads Web-based task monitoring Sybase ETL 4.8 – Optimized for Sybase IQ 15© SAP AG 2009. All rights reserved. / Page 40 Customer
  41. 41. Mapping the Right Solution for Your Environment Enterprise Real-time, High- Data Warehouse performance Operational Insight SAP NetWeaver SAP BW SAP Data HANA * Sybase Other Data Sybase IQ IQ*See use cases to make recommendation© SAP AG 2009. All rights reserved. / Page 41 Customer
  42. 42. SAP HANA / Sybase IQ Deployment Scenarios Side by Side SAP SAP BusinessObjects BI BusinessObjects BI SAP HANA SAP BW 1.0 Sybase IQ Hi-Value Scenarios Traditional DB ASE, Oracle, DB2, TD, SQL Server Non-SAP Non-SAP SAP ECC Trans 1 Trans 2 Traditional DB Traditional DB Traditional DB ASE ,Oracle, DB2, ASE, Oracle, DB2, ASE, Oracle, DB2, SQL Server SQL Server SQL Server,© SAP AG 2009. All rights reserved. / Page 42 Customer
  43. 43. SAP HANA / Sybase IQ Deployment Scenarios Integration Scenarios Based on HANA 1.0 SAP BusinessObjects BI SAP HANA SAP BW 1.0 Sybase IQ Hi-Value Scenarios Traditional DB ASE, Oracle, DB2, TD, SQL Server Non-SAP Non-SAP SAP ECC Trans 1 Trans 2 Traditional DB Traditional DB Traditional DB ASE, Oracle, DB2, ASE, Oracle, DB2, ASE ,Oracle, DB2, SQL Server SQL Server SQL Server© SAP AG 2009. All rights reserved. / Page 43 Customer
  44. 44. Hybrid Analytical Solution SAP BW(A)/HANA und Sybase IQ SAP BusinessObjects BI RAYQ on IQ (Datamining) SAP <ILM> HANA SAP BW PBS NLS-IQ 1.0 Hi-Value Scenarios Traditional DB Sybase IQ ASE, Oracle, DB2, TD, SQL Server SAP ECC Traditional DB Traditional DB ASE, Oracle, DB2, ASE, Oracle, DB2, SQL Server SQL Server© SAP AG 2009. All rights reserved. / Page 44 Customer
  45. 45. SAP Integration with BW 7.30 and DS 4.0 SAP BusinessObjects Information Management (IM) XI 3.2/ Next major SAP BusinessObjects Data Services Release: XI 3.2/ Subsequent SAP BusinessObjects Data Services Release: BW 7.0x DS Release/ major XI release / BW 7.0 BW 7.3 BW 7.3 Tighter integration of BusinessObjects Data Services into extended SAP NetWeaver BW data flow concept (DataServices to support BW 7.x DataSource concept) New Source System type in BW: „Data Services‟ with access to Data Services „Data Stores‟ and generation of Data Services data flows (i.e. simple dataflow from DataStore to BW DataSource) Execute and control process chains from SAP BusinessObjects Data Services to extract data via Open Hub Service SAP BusinessObjects Data Services to schedule loading processes of SAP NetWeaver BW XI 3.1/ XI 3.1/ Next Next major SAP BusinessObjects Metadata Management SAP BusinessObjects Metadata Management Release: XI Release/ Release: BW 7.0x major XI release / BW 7.0 BW 7.3 BW 7.3 Extend existing BOMM data lineage and impact analysis: include detailed mapping information from source to target Change impact analysis between SAP NetWeaver BW objects such as DataStore objects, InfoSets, BEx Queries, and InfoCubes End-to-end capabilities for all data sources through SAP BusinessObjects Data Services End-user access to data lineage information for trusted SAP NetWeaver BW deployment This presentation and SAPs 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© SAP AG 2009. All rights reserved. / Page 45 provided without a warranty of any kind, either express or implied, including but not limited to, the implied warranties of m erchantability, fitness for a particular purpose, or non-infringement. Customer
  46. 46. SAP BusinessObjects Data Services 4.0 Scope and Overview Enterprise Applications Legacy Business Intelligence Systems with Unstructured Data© SAP AG 2009. All rights reserved. / Page 46 Customer
  47. 47. Data Services Is Your One-stop Solution Data Integration, Data Quality, Information Stewardship, and Text Analytics Data Services 4.0 provides access to all critical business data (regardless of data source, type, or domain) enabling greater business insights and operational effectiveness SAP BusinessObjects Data Services 4.0 MOVE Business UI Technical UI (Information (Data Steward) Services) IMPROVE Unified Metadata One Runtime Architecture & ETL GOVERN Services Data Quality UNLOCK Profiling Text Analytics One Administration Environment (Scheduling, Security, User Management) One Set of Source/Target Connectors© SAP AG 2009. All rights reserved. / Page 47 Customer
  48. 48. SAP BusinessObjects Information Steward Product Vision Empower data stewards with a single environment to discover, assess, define, monitor, and improve the quality of their enterprise data asset Discover & understand Define business enterprise data terms, validation Data profiling, rules, cleansing rules, Metadata management models Information Discover Define Steward Catalog data Define data assets ownership: Assign data ownership, accountability & roles Monitor & Remediate Monitor Surface data quality Workflows to data score in business resolve data quality user applications quality issues© SAP AG 2009. All rights reserved. / Page 48 Customer
  49. 49. Common Server and Services Layer for Both SAP BusinessObjects BI and Data Services Solutions Enable synchronized, dependable, and reliable management of your Users, Access, and Processing across all systems via common central services for BI and Data Services SAP BusinessObjects Data Services 4.0 SAP BusinessObjects BI 4.0 Business UI Technical UI (Information (Data BI Client Interfaces Steward) Services) Unified Metadata One Runtime Architecture & ETL Services Data Quality BI Platform Profiling Text Analytics Common Services: User Administration, Security, and Scheduling© SAP AG 2009. All rights reserved. / Page 49 Customer

×