Building Real-Time Analytics Apps with HANA

Transcription

1 Building Real-Time Analytics Apps with HANA

2 Why SAP HANA Now? Columnar Databases Large Data Inflection Point? Moore s Law

3 What is SAP HANA? A Database / RDBMS? An Appliance? A Platform?

4 Answer All of the Above SAP HANA TM - Preconfigured Appliance Software + Hardware IBM and others In-Memory Computing Engine Software Data Modeling and Data Management Real-time Data Replication Data Services for SAP SAP Business Suite, SAP BW and 3rd Party Systems Capabilities Enabled Analyze information in real-time at unprecedented speeds on large volumes of non-aggregated data Create flexible analytic models based on real-time and historic business data Foundation for new category of applications (e.g., planning, simulation) to significantly outperform current applications in category Minimizes data duplication

5 How does it work In-Memory Row and Column Store Compression Column = Fast Queries 5 20x Partitioning In-Database Computing Analyze Large Data Sets Complex Computations No Aggregate Tables Flexible Modeling No Data Duplication Real-Time Replication Insert Only on Delta Fast Data Loads 12

6 Getting Stuff into HANA Sybase Replication Server (SRS) Database Table Replication i.e. near real-time (10 secs) Originally envisaged to be dominant DB2 Unicode Only No Compressed Tables No license support for Oracle/MSSQL Support for 1 ERP Data Services 4.0 (DS) Extract, Transform & Load (ETL) Allows use of ERP Business Content Extractors Non-real-time (10 mins) Almost any data source System Landscape Transformation (SLT) Technology from Test Data Migration Server (TDMS) Application-server trigger-based replication Avoids Oracle/MSSQL license problems Near real-time

7 SLT A Bit More Detail or

8 Getting Stuff Out of HANA

9 Today - SAP HANA 1.0 SP02 Financial Services Hedge fund trading analysis Real-time systematic risk management and reporting based on market trading exposure Consumer Products Goods Supplier Risk Management Inventory Recall Reconciliation Product trace Product Lifecycle and Cost management EPA standards compliance On-Shelf Availability Analysis Real-time Warranty and defect analysis Manufacturing Manufacturing Production and Maintenance Analytics Real-time Asset Utilization Analytics Oil & Gas Operations Performance Management Business Transformation Oil Well Performance Analysis Supply Chain Network Visibility Spend Performance Analysis Retail Store Operations Point-of-Sales Retail Sales Analytics Load Balance Optimization Real-time completive multi-channel pricing Product damage, returns and spoilage These are All Custom-Built Scenarios and require a business case

10 Today - SAP HANA RDS RDS exists to replicate CO-PA to HANA Includes Data Replication (SLT) Transformations (SAP HANA Studio) Sample Reports (BI4)

11 Building a Business Case HANA represents a significant investment Appliance: Hardware Software Licenses Services Installation Configuration: SAP or Partner Services SAP & Partners provide Value Engineering Services Will a point solution provide Proof of Value? Where is the process benefit? Can business process change? Who is impacted?

12 SAP HANA Demo

13 SAP HANA Demo SAP HANA Studio

14 Modeling: SAP HANA Studio: Creating Attribute View

15 Modeling: SAP HANA Studio: Defining Attributes

16 Modeling: SAP HANA Studio: Data Preview

17 Modeling: SAP HANA Studio: Creating Hierarchies

18 Modeling: SAP HANA Studio: Creating Analytic View

19 SAP HANA Studio: Administration Console

20 Questions?

21 For more information IBM-SAP Alliance Web Site Partnerworld Bluefin Web Site Bluefin Insights

22 Thank You

23 Appendices SAP HANA 1.0 SP03 (BW on HANA) SAP HANA Apps SAP HANA Beyond 2012 Scale Out for SAP HANA

24 Appendix 1 SAP HANA 1.0 SP03 BW on HANA

25 SAP HANA 1.0 SP03 (AKA BW on HANA)

26 Appendix 2 SAP HANA Apps

27 H1 2012: SAP HANA Apps SAP traditionally sells to industry SAP HANA 1.0 is a platform SAP HANA Apps are business content built on SAP HANA 1.0 Strategic workforce planning (out now) Sales and operations planning (due Q3) Cash and liquidity management (due Q3) Trade promo management (due Q4) Smart meter analysis (due Q4) Profitability engine (due Q4) Customer revenue performance management (due Q4) Merchandising and assortment management (due Q4) Energy management for utility customers (due Q4) Customer-specific pricing (due Q4) Intelligent Payment Broker (Q4)

28 SAP HANA Apps: SWP

29 Appendix 3 SAP HANA Beyond 2012

30 SAP HANA: Beyond 2012 Real Time Data Feed (2012/2013?) Applications write data simultaneously to traditional databases as well as the inmemory computing Platform Consolidation All applications (ERP and BW) run on data residing in-memory Analytics and operations work on data in real time In-memory computing executes all transactions, transformations, and complex data processing

31 Appendix 4 Scale Out for SAP HANA (AKA BW on HANA)

32 Scale out for SAP HANA Currently only single server configurations available node01 SAP HANA DB DB partition 1 What about growth and HA? - SAP HANA DB master node replication server SAP HANA studio HDD GPFS SSD Primary dataset data01 log01

33 Scale out for SAP HANA IBM configurations delivered with GPFS shared file system for seamless growth node01 node02 SAP HANA DB SAP HANA DB DB partition 1 - SAP HANA DB master node DB partition 2 - SAP HANA DB backup master replication server SAP HANA studio GPFS GPFS HDD SSD HDD SSD Primary dataset data01 log01 1st replica

34 Scale out for SAP HANA IBM configurations delivered with GPFS shared file system for seamless growth node01 SAP HANA DB node02 SAP HANA DB node03 DB partition 1 DB partition 2 DB partition 3 - SAP HANA DB master node replication server SAP HANA studio GPFS - SAP HANA DB backup master GPFS - SAP HANA DB Currently 4 node cluster certified ( 4x 256GB & 4x 512GB ) HDD SSD HDD SSD HDD SSD Primary dataset data01 log01 1st replica

35 Outlook HA for SAP HANA (under validation) Introduce Standy nodes into cluster initially no specific identity and no persistent data node01 node02 node03 node04 SAP HANA DB SAP HANA DB DB partition 1 DB partition 2 DB partition 3 DB partition - SAP HANA DB master node - SAP HANA DB backup master x - SAP HANA DB - SAP HANA DB standy node replication server SAP HANA studio GPFS GPFS HDD SSD HDD SSD HDD SSD HDD SSD Primary dataset data01 log01 1st replica

36 Outlook HA for SAP HANA (under validation) SAP HANA DB handles the failover to the hotstandby node in case of a node failure. node01 node02 node03 node04 SAP HANA DB SAP HANA DB DB partition 1 DB partition 2 DB partition 3 - SAP HANA DB master node - SAP HANA DB backup master x - SAP HANA DB - SAP HANA DB replication server SAP HANA studio Recover DB partition 3 data Apply Re-Do Log GPFS GPFS HDD SSD HDD SSD HDD SSD HDD SSD primary dataset data01 log01 1st replica