Enterprise Data Warehousing Positioning
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Enterprise Data Warehousing Positioning

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EDW Positioning Based on the SAP Real-Time Data Platform

EDW Positioning Based on the SAP Real-Time Data Platform

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  • 1. EDW Positioning Based on the SAP Real-Time Data Platform July, 2013
  • 2. Typical needs in a Enterprise world Introduction
  • 3. © 2013 SAP AG. All rights reserved. 3 Types Analytics & Data Marts Different Analytical needs and the consequences in IT architectures Complex architecture landscapes including different kind of Data Marts, Data Warehouses and EDWs Operational Data Mart Visibility Direct / Database Replication Near-line Data Marts (Audit / SOX) Federated Queries / ETL Agile Data Marts Ad-Hoc | Self- Service BI ETL / ELT/ Replication Data Warehouse/ EDW Consolidated view ETL / ELT / Replication Transactional | System of Record Transactional | Analytical | Systems of Record & Engagement Real Time Data Mart Real Time Streams / Feeds Event | Machine ETL / ELT/ Replication Federation of Data & Query All sources Predictive Data Marts Unstructured Data Marts Sentiment Analysis Archived Information Social Architecture Information needs Source of information Access method to source data Predictive Analysis Archive Analysis  High variety of information sources  Extensive information needs
  • 4. © 2013 SAP AG. All rights reserved. 4 Different Needs … Different Types of Data Marts for Reporting Characteristics of Data Marts: • Maximum flexibility for LOBs in data modeling and integration of LOB specific data (Agile) • Supporting local business execution • Support strategic decision making in LOBs • Independently of, or sourced from the centralized corporate EDW layers • Reporting on large volumes of granular, transactional data • Data latency determined by business requirements – batch to real time • High Volume Unevenly structured data (Big Data) • Predictive Analysis • Event and Streaming sources A data mart is a collection of data coming from subject areas organized for decision support based on the needs of a given domain / group of users.
  • 5. © 2013 SAP AG. All rights reserved. 5 Examples of Different Types of Data Marts Business Intelligence Tools Supplier Data Operational Real-time replication and ETL ETL ERP Data OtherEDW Agile DataMartOperational DataMart Operational Data Marts: • Real Time Data • Reporting on large volumes of granular, transactional data • Supporting local business execution Agile Data Marts: • Independently of the highly governed centralized corporate EDW layers • Maximum flexibility for LOBS in data modeling and integration of LOB specific data • Support strategic decision making in LOBs
  • 6. © 2013 SAP AG. All rights reserved. 6 Unlock The Power of Your Data Across The Enterprise Enterprise Data Warehousing – the single point of truth EDW * – characteristics: • Consolidate the data across the enterprise to get a consistent and agreed view on your data • Combine SAP and other sources together • Standardized data model on corporate information • Supporting decision making on all organizational levels EDWs require a database plus EDW orchestration tools: • EDW orchestration tools are used to manage, model and run the Enterprise Data Warehouse • EDW orchestration tools can be shipped as an integrated EDW application • Custom built EDWs are based on loosely coupled orchestration tools e.g. ETL tools, Data Modeling tools, Monitoring tools etc. * EDW and DW are often used interchangebly. For the remainder of this presentation only the term EDW will be used.
  • 7. © 2013 SAP AG. All rights reserved. 7 global local regional Master Data Management Business Intelligence Tools “ Planning & Forecast feeding external systems Example of a Customer Enterprise Data Warehousing landscape DataMart DataMart Master Data Transactional Data Example for global EDW implementation: Architecture to provide the base for entire commercial business intelligence solutions: • Local, regional, global Data Marts in addition to global Data Warehouse necessary to meet business users need • Data Warehouse as single point of truth with harmonized master data to feed departmental Data Marts and external systems with cleansed data • Depending on users requirements reporting on departmental Data Mart or Data Warehouse is possible Data Warehouse „Single Point of Truth“ ERP Data Supplier Data OtherCustomer Data DataMart
  • 8. © 2013 SAP AG. All rights reserved. 8 Different Approaches What approach is right for you? Different approaches to implement an analytical data foundation • Using an Integrated EDW application • Model-driven pre-packaged Data Warehouse application as a central component • Prebuilt Information – and process content • Out of the box tool set for modeling, managing, operating, and governing an EDW and its data marts  Custom Built Enterprise Data Warehouse • Loosely coupled orchestration tools • Higher efforts for development and maintenance • High flexibility to build custom data models and processes with little enforced governance • Open environment to easily import industry models
  • 9. © 2013 SAP AG. All rights reserved. 9 Different Approaches What approach is right for you? • Custom built data marts without EDW integration layer • Maximum flexibility for custom data marts specifically built for isolated use cases • Easy to build and fast realization time • Low level of integration among different data marts • Grow from custom built DMs to an EDW • Combine custom built DMs or EDW with integrated EDW application Combination of approaches
  • 10. © 2013 SAP AG. All rights reserved. 10 Very large Data Marts Data Volume and Complexity considerations Enterprise Data Warehouse, Data Marts datavolume huge moderate Complexity: number of scenarios, data models, sources, … huge • Mix of scenarios with small and large amounts of data • Many (100s to 10000s) of data models • Many (100-1000s) different data sources • Extremely high number of scenarios and combinations of scenarios • Extremely high data volumes • Internet scale business process (e.g. Ebay, Amazon, …) generating huge amounts of (sensor) data • Fairly modest challenges regarding semantics, consolidation, harmoni- zation, integration with other data Data Mart EDW Extreme large EDW • Few data sources • Data mart type of setup or operational (OLTP) analytics • Moderate number of tables • Moderate (need for) integrations between data models
  • 11. How does SAP address the needs?
  • 12. © 2013 SAP AG. All rights reserved. 12 SAP Real-Time Data Platform Addressing the architectural needs Custom Apps Mobile & Embedded Business Intelligence Business Suite Business Warehouse SAP RTDP addresses the needs for a packaged EDW framework with SAP BW, as well as custom built EDW and Data Marts • SAP NetWeaver BW as strategic offering for packaged EDW frameworks • SAP HANA as an in-memory foundation for custom built solutions and in-memory database platform for BW • SAP Sybase IQ as disk-based database for custom built petabyte scale EDW and cost effective near-line storage solution (NLS) for BW on HANA
  • 13. © 2013 SAP AG. All rights reserved. 13 SAP HANA, BW on HANA, Sybase IQ Strong individual solutions Sybase IQ BW on HANA SAP HANA SAP HANA • Data Platform for business- or mission-critical enterprise applications • In-Memory database for transactional and analytic workloads • More than 1000 customers with standalone, BW or Business Suite scenarios SAP NetWeaver BW • More than 14000 customers referring to > 17000 productive systems • Vast majority: Central EDW, harmonizing many source systems • Embedded into mission critical business processes Sybase IQ • Recognized leader in EDW market by Gartner and Forrester Group • Industry leading performance and scale benchmarks with 4500+ installations in 2150 accounts • Greater than 96% customer satisfaction rates - consistently
  • 14. © 2013 SAP AG. All rights reserved. 14 Data Modeling • Layered scalable EDW model • Tight integration with native HANA Data Marts • In-Memory based OLAP features and Planning engine • Agile Data Marts with BW Workspaces Scheduling & Monitoring • Process Chains enable workload management for data load processes across systems • Rich monitoring capabilities via Admin Cockpit • Support of 3rd party tools such as UC4, Tivoli Supportability, Traceability • Easy extensible BADI framework for data staging, reporting and authorization • Access statistics including Identity handling • Possibility to trace on application logic, database access and effect of authorizations Reliable Data Acquisition • Open for SAP – and non SAP systems • Embedded ETL and Streamlined In-Memory Data Staging processes • Sophisticated Error Handling • Incremental Data Provisioning capabilities Business Content • Enables fast implementation • Leverages SAP’s proven knowledge in business applications and industries • Model-driven approach EDW with SAP BW on HANA Lifecycle Management & Security • Hot- / Cold data handling for optimized resource usage • Compliant NLS and Archiving • Fine-grained security model with mass handling capabilities
  • 15. © 2013 SAP AG. All rights reserved. 15 Data Modeling • Entity-Relationship models • Procedural extensions for complex views • Support for planning operations on views • Real-time transformation 3NF to analytic view Scheduling & Monitoring • DB level monitoring in SAP HANA Studio • Explain plans for SQL statements • No scheduling capabilities, requires additional tools such as SAP Business Objects Data Services Supportability, Traceability • Technical tracing of database kernel operations • Alerting for vital database parameters • Integration with SAP Solution Manager Reliable Data Acquisition • Support for virtually any kind of data • Support for SAP or 3rd party ETL tools • Real time replication and event stream connection Business Content • Business Suite data models available as content packages (SAP HANA Live, RDS) • Application content available as delivery units Lifecycle Management & Security • Repository for design time artifacts • Database security with user and role concept • Privilege concept for design time and runtime • Content lifecycle management EDW with SAP HANA
  • 16. © 2013 SAP AG. All rights reserved. 16 Data Modeling • Leading open modeling tool: PowerDesigner • High flexibility in schema definition • Ad-Hoc SQL, structured and unstructured data support, and integrated full text search • In-database analytics, MapReduce API, Hadoop and R-Integration Scheduling & Monitoring • Web-based SAP Sybase Control Center as DB administration & monitoring tool • ETL scheduling with DataServices • Open and certified support for 3rd party monitoring solutions Supportability, Traceability • Database auditing: logins, data update timestamps, and administrative actions • Support of multiple trace and debug levels • Extensive set of system stored procedures for diagnostics Reliable Data Acquisition • Open for SAP – and non SAP systems • Data Services as powerful, approved ETL tool • Open and certified support for 3rd party ETL solutions • Real Time Data Loading via ESP and SRS Business Content • Prebuilt vertical Industry Warehouse Solutions • Open and certified support for many 3rd party applications EDW with SAP Sybase IQ Lifecycle Management & Security • Built-in disk–based Information Lifecycle Management • Role-based access control, LDAP authentication, strong database, column, and transport layer encryption (FIPS certified) • New generation petabyte-scale store • Resilient Multiplex grid architecture
  • 17. © 2013 SAP AG. All rights reserved. 17 SAP HANA, BW on HANA, Sybase IQ - Integration scenarios Integration scenarios: • Tight integration between BW on HANA and native HANA scenarios combines the strengths of both worlds • Consumption of BW data models in HANA and consumption of HANA models in BW • Data staging from HANA to BW and from BW to HANA • IQ supports NLS (multi temperature Data) for BW on HANA and remote data access from HANA for smart query processing • Lower TCO by reduced data volumes in HANA and shortened backup time frames • Cost – and Performance optimized EDW • Mature EDWs will leverage the capabilities of all three components where appropriate BW on HANASybase IQ Packaged EDW framework Custom built EDW Tight Integration between BW on HANA and SAP HANA SAP HANA Smart Data Access Sybase IQ as NLS for BW Custom built EDW Petabyte scenarios Sweet Spot for Mature EDW
  • 18. © 2013 SAP AG. All rights reserved. 18 Customer requires standalone Data Marts • HANA provides maximum agility for custom built data marts • With increasing BI maturity* customers are able to grow from HANA based Data Marts to an EDW on HANA Customer requires operational analytics directly on the original transactional data • SAP HANA Live for SAP Business Suite (see appendix for more details) Customer requires an EDW • BW on HANA is SAP‘s strategic EDW solution and should be considered as a cornerstone for customers‘ EDW strategy Customer requires an EDW for very large data volumes • Sybase IQ recommended for Petabyte scale Customer requires an NLS solution • Sybase IQ provides very low TCO for advanced data lifecycle management capabilities, e.g. NLS Conclusions – Isolated view SAP HANA * TDWI BI Maturity Model BW on HANA Sybase IQ
  • 19. © 2013 SAP AG. All rights reserved. 19 • BW on HANA and HANA Agile Data Mart scenarios perfectly address the needs of Central EDWs and Data Marts • IQ is SAP‘s native NLS for BW on HANA and is capable of storing terabytes to petabytes of structured & unstructured data • Mature customer architectures will leverage the capabilities of all three components where appropriate The HANA EDW SAP HANA, BW on HANA + IQ NLS Conclusion – The HANA EDW Combining the strengths of the different worlds Sybase IQ BW on HANA SAP HANA
  • 20. Thank you Contact information: Product Management: Lothar Henkes, Courtney Claussen, Brian Wood Solution Management: Daniel Rutschmann Consulting: Andreas Scholl COE: Lars Jakob CSA: Rudolf Hennecke
  • 21. © 2013 SAP AG. All rights reserved. 21 Further Information Find additional information • www.SAPHANA.com • Real-Time Data Platform landing page: www.sap.com/RTDP • SAP NetWeaver Business Warehouse 7.4: http://scn.sap.com/docs/DOC-35096 • BW on HANA FAQ: http://spr.ly/bwonhanafaq • Roadmaps: http://service.sap.com/roadmap Link to EDW Positioning presentation: • http://www.saphana.com/docs/DOC-2164 • https://scn.sap.com/docs/DOC-41326
  • 22. © 201 SAP AG. All rights reserved. © 201 SAP AG. All rights reserved. No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of SAP AG. The information contained herein may be changed without prior notice. Some software products marketed by SAP AG and its distributors contain proprietary software components of other software vendors. Microsoft, Windows, Excel, Outlook, PowerPoint, Silverlight, and Visual Studio are registered trademarks of Microsoft Corporation. IBM, DB2, DB2 Universal Database, System i, System i5, System p, System p5, System x, System z, System z10, z10, z/VM, z/OS, OS/390, zEnterprise, PowerVM, Power Architecture, Power Systems, POWER7, POWER6+, POWER6, POWER, PowerHA, pureScale, PowerPC, BladeCenter, System Storage, Storwize, XIV, GPFS, HACMP, RETAIN, DB2 Connect, RACF, Redbooks, OS/2, AIX, Intelligent Miner, WebSphere, Tivoli, Informix, and Smarter Planet are trademarks or registered trademarks of IBM Corporation. Linux is the registered trademark of Linus Torvalds in the United States and other countries. Adobe, the Adobe logo, Acrobat, PostScript, and Reader are trademarks or registered trademarks of Adobe Systems Incorporated in the United States and other countries. Oracle and Java are registered trademarks of Oracle and its affiliates. UNIX, X/Open, OSF/1, and Motif are registered trademarks of the Open Group. Citrix, ICA, Program Neighborhood, MetaFrame, WinFrame, VideoFrame, and MultiWin are trademarks or registered trademarks of Citrix Systems Inc. HTML, XML, XHTML, and W3C are trademarks or registered trademarks of W3C®, World Wide Web Consortium, Massachusetts Institute of Technology. Apple, App Store, iBooks, iPad, iPhone, iPhoto, iPod, iTunes, Multi-Touch, Objective-C, Retina, Safari, Siri, and Xcode are trademarks or registered trademarks of Apple Inc. IOS is a registered trademark of Cisco Systems Inc. RIM, BlackBerry, BBM, BlackBerry Curve, BlackBerry Bold, BlackBerry Pearl, BlackBerry Torch, BlackBerry Storm, BlackBerry Storm2, BlackBerry PlayBook, and BlackBerry App World are trademarks or registered trademarks of Research in Motion Limited. Google App Engine, Google Apps, Google Checkout, Google Data API, Google Maps, Google Mobile Ads, Google Mobile Updater, Google Mobile, Google Store, Google Sync, Google Updater, Google Voice, Google Mail, Gmail, YouTube, Dalvik and Android are trademarks or registered trademarks of Google Inc. INTERMEC is a registered trademark of Intermec Technologies Corporation. Wi-Fi is a registered trademark of Wi-Fi Alliance. Bluetooth is a registered trademark of Bluetooth SIG Inc. Motorola is a registered trademark of Motorola Trademark Holdings LLC. Computop is a registered trademark of Computop Wirtschaftsinformatik GmbH. SAP, R/3, SAP NetWeaver, Duet, PartnerEdge, ByDesign, SAP BusinessObjects Explorer, StreamWork, SAP HANA, and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of SAP AG in Germany and other countries. Business Objects and the Business Objects logo, BusinessObjects, Crystal Reports, Crystal Decisions, Web Intelligence, Xcelsius, and other Business Objects products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of Business Objects Software Ltd. Business Objects is an SAP company. Sybase and Adaptive Server, iAnywhere, Sybase 365, SQL Anywhere, and other Sybase products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of Sybase Inc. Sybase is an SAP company. Crossgate, m@gic EDDY, B2B 360°, and B2B 360° Services are registered trademarks of Crossgate AG in Germany and other countries. Crossgate is an SAP company. All other product and service names mentioned are the trademarks of their respective companies. Data contained in this document serves informational purposes only. National product specifications may vary. The information in this document is proprietary to SAP. No part of this document may be reproduced, copied, or transmitted in any form or for any purpose without the express prior written permission of SAP AG.