Introduction to SAP HANA and what you can build on it. Jan 2013 Balaji Krishna Product Management, SAP HANA Platform

Transcription

1 Introduction to SAP HANA and what you can build on it Jan 2013 Balaji Krishna Product Management, SAP HANA Platform

2 Safe Harbor Statement The information in this presentation is confidential and proprietary to SAP and may not be disclosed without the permission of SAP. This presentation is not subject to your license agreement or any other service or subscription agreement with SAP. SAP has no obligation to pursue any course of business outlined in this document or any related presentation, or to develop or release any functionality mentioned therein. This document, or any related presentation and SAP's strategy and possible future developments, products and or platforms directions and functionality are all subject to change and may be changed by SAP at any time for any reason without notice. The information on this document is not a commitment, promise or legal obligation to deliver any material, code or functionality. 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. This document is for informational purposes and may not be incorporated into a contract. SAP assumes no responsibility for errors or omissions in this document, 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 actual results to differ materially from expectations. Readers are cautioned not to place undue reliance on these forwardlooking statements, which speak only as of their dates, and they should not be relied upon in making purchasing decisions SAP AG. All rights reserved. 2

3 Need a breakthrough technology Today's technology requires tradeoff Deep Complex & interactive questions on granular data Deep Complex & interactive questions on granular data OR Broad Big data, many data types High Speed Fast response-time, interactivity Broad Big data, many data types High Speed Fast response-time, interactivity Real-time Recent data, preferably realtime Simple No data preparation, no pre-aggregates, no tuning Real-time Recent data, preferably realtime Simple No data preparation, no pre-aggregates, no tuning 2012 SAP AG. All rights reserved. 3

4 SAP HANA does it all! Delivering across 5 dimensions of modern decision-processing Deep Complex & interactive questions on granular data Broad Big data, many data types High Speed Fast response-time, interactivity Real-time Recent data, preferably real-time Simple No data preparation, no preaggregates, no tuning 2012 SAP AG. All rights reserved. 4

5 In-Memory computing Rethinking the bottleneck chasing Yesterday Today CPU CPU Memory Multi-Core Massively Parallel SingleOptimized Platform 64-bit address space supports 2TB RAM 100GB/s throughput + Memory Row and Column Store No aggregates Partitioning Software and data reside on HDD Disk Disk Insert Only on Delta Logging and Backup Solid State / Flash / HDD Compression IO constraint Support many platforms Optimized for None Take advantage of latest advances in hardware Minimum IO time Optimized for x86 platform 2012 SAP AG. All rights reserved. 5

6 SAP HANA SAP HANA A platform for innovative, real-time analytics and applications Other query tools SAP Business Objects tools Real-time solutions New accelerators and analytic content for powerful analysis and reporting on big data SAP Business Suite Real-time copy Real-time analytics Real-time business Real-time, trusted data SAP in-memory computing Real-time applications New applications for highly innovative processes and business models Benefits Make smarter and faster decisions with complete insight on large volumes of granular data React quickly with real-time analysis and reporting Unlock new opportunities with state-of-the-art analysis Other data sources SAP NetWeaver Business Warehouse Invent new data-driven business models and renew differentiating processes enabled by real real-time insight Ensure quick time-to-value with solutions that you can deploy faster 2012 SAP AG. All rights reserved. 6

7 Common Modeling Sybase PowerDesigner MPP Scale-Out Hadoop 3 rd Party DB Common Landscape Management Next generation SAP Real-time Data Platform Custom Apps 3rd Party BI Client SAP Business Suite SAP Business Warehouse SAP Big Data Applications SAP Analytics SAP NetWeaver (On Premise / Cloud) SAP Mobile Custom Apps SAP Real-time Data Platform Open Developer APIs and Protocols SAP Sybase SQLA SAP Sybase ASE SAP HANA Platform SAP Sybase ESP SAP Sybase IQ SAP Sybase Replication Server SAP Data Services SAP Smart Data Services Platform SAP MDG, MDM SAP innovation without customer disruption See Appendix for abbreviations 2012 SAP AG. All rights reserved. 8

8 Rethinking the Architecture - Reducing the layers and complexity Planning Application Server Real-time Replication Structured OLTP Predictive/Statistical Developer Workbenches Batch ETL/ELT Unstructured OLAP SAP HANA Row/Column store 2012 SAP AG. All rights reserved. 9

9 A Platform for delivering a new class of real-time analytics and applications SAP applications SAP BusinessObjects solutions 3 rd Party BI SAP NetWeaver BW on SAP HANA BI on demand Customer and partner applications Real-time analytics Real-time apps Information composer Planning and calculation engine Real-time replication services SAP HANA Application services Application Function Libraries In-memory database Modeling and Administration Studio Predictive Data Services SAP Applications Third-party Applications and Data Sources 2012 SAP AG. All rights reserved. 10

10 Application Services (XS) in SAP HANA Client Presentation logic HANA XS Control flow logic Calculation logic Data 2012 SAP AG. All rights reserved. 11

11 How can I use SAP HANA? SAP HANA usage scenarios

12 What if you could check what is hot and what is not right now?

13 2012 SAP AG. All rights reserved. 14

14 SAP Precision Gaming A HANA-based suite of cloud services that maximize monetization for online and mobile game and gambling providers V1.0 services include: Real-time Big Data Visualization and Analytics specifically designed for gaming Real-time in-game Personalized Offers and Messaging And other cloud services The services will: Increase revenue Increase player engagement Reduce churn SAP Precision Gaming V1.0 services will be deployed as cloud services and released in Q Demo 2012 SAP AG. All rights reserved. 15

15 What is this being used for? SAP ERP, SAP Business One, SAP BusinessbyDesign, SAP Success Factors Enterprise Suites Database General Purpose Database, SAP BI on Demand, 2 & 2.5 tier applications, Packaged Apps SAP HANA Data Warehousing SAP Smart Meter Analytics, Cash and Liquidity Mgmt, etc, SAP NetWeaver Business Warehouse, Real-time Data Marts, etc Disk DB App Accelerators ISV Apps SAP CO-PA Accelerator, Customer Segmentation SAP ERP Operational reporting Acc Medidata, MKI, Tuailia, Opera etc 2012 SAP AG. All rights reserved. 16

16 SAP HANA Innovation Overview HANA Accelerators HANA Analytics (Content & Virtual Data Layer) SAP BW on HANA SAP HANA Apps (Next Generation & Strategic Investments) Business Suite on SAP HANA Client Client Client SAP Business Suite SAP Business Suite AnyDB SAP HANA DB SAP Business Suite / non-sap AnyDB (VDL) SAP HANA DB SAP Business Suite AnyDB BW SAP HANA DB SAP Business Suite AnyDB Apps SAP HANA DB ERP CRM SCM VDL PLM SRM SAP HANA DB BW Apps In seconds Accelerating existing transactions of the Business Suite More insight Exploring data loaded from Business Suite on any level of detail Side-by-side scenarios Supercharged BW Speed up your BW without disruption Innovation Functional apps natively built on SAP HANA, with or without Business Suite integration Integrated scenario All-in-one ultimate Business Suite solution fully integrated with and optimized for SAP HANA as database Customer examples Ferrero S.p.A. CO-PA RDS Colgate-Palmolive CO- PA Custom Solution; TPM on SAP HANA Customer examples Adobe Systems Inc. Ops. Reporting RDS Yoke Industrial Ops. Reporting RDS Customer examples Lenovo BW on SAP HANA Hilti BW on SAP HANA Customer examples Bosch Siemens Hausgeräte GmbH Cash Forecasting Centrica Smart Meter Analytics Customer examples Manufacturing Customer Business Suite on SAP HANA Primary Metals Customer Business Suite on SAP HANA 2012 SAP AG. All rights reserved. 17

17 SAP HANA - Vision Business User UIs Corporate BI UIs R R Backend Systems SAP Suite(s) SAP Apps Partner Applications Customer Applications EDW / SAP BW Next Gen App Server Local Apps and BI Virtual DM Virtual DM... SAP HANA Virtual Data Stores Virtual Data Stores... Applications New Applications R ETL / Replication 3 rd Party Data Sources 2012 SAP AG. All rights reserved. 18

18 HANA Development Options HANA Studio (SQLScript/Modeling) Business Objects Tools / Microsoft Excel ODBC/JDBC/ODBO SAP HANA Application Services ODATA / XML / XMLA / ABAP Development Tools SAP BW on SAP HANA SAP Gateway 2012 SAP AG. All rights reserved. 20

19 SAP HANA Roadmap SAP HANA specific product road map overview key themes and capabilities SAP BW on SAP HANA Additional business functions and predictive algorithms SAP HANA Studio Modeler enhancements Enhanced enterprise fit and readiness Additional and enhanced data provisioning capabilities R integration Unstructured text search Enhanced security and authentication Hadoop Integration (DS 4.1) SAP BPC on SAP HANA Predictive Analysis on SAP HANA Desktop visualization client for HANA (SAP Visual Intelligence) Developer Enablement New Data Acquisition options Enhanced openness for 3 rd parties tool integration and certification Text Analytics Data center readiness enhancements New Security hardening features Modeling enhancements Complex Event Processing integration Business Rules Engine and BPM support EDW Enhancements for BW on HANA Business Suite on SAP HANA readiness Next Generation Information Composer Additional Cloud deployment capabilities for SAP HANA Power Designer Interoperability HANA & SAP IQ Optimization and Integration Native integration with Hadoop Additional third-party tool support Further optimization & integration between HANA, Sybase IQ & ASE GeoSpatial support and integration More predictive functions, functionality, and further R support Transformed SAP Business Suite processes leveraging merged OLTP & OLAP Today (Release SPS 4 May 2012) See Appendix for abbreviations Planned Innovations (Release SPS 5 Q4 2012) Future Direction This is the current state of planning and may be changed by SAP at any time SAP AG. All rights reserved. 22

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