Evolution of Capabilities Hunter Downey, Solution Advisor

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1 Evolution of Capabilities Hunter Downey, Solution Advisor

4 So What Can You Do With It? Supply Chain Federal Financials Link work orders to readiness Open equipment and requisition Prioritize what orders will enable rapid readiness Need ability for auditors to review transactions and link to GL Accounts Federal Budget/Spend/FI/Payroll Allow flexibility to grow and change data over time Fraud Waste and Abuse Audit Review and detect problematic transactions Easily summarize spending patterns and drill into largest contracts/orders/invoices Incorporate business rules to detect fraud Need mechanism to identify anomalies Link transactions to GL postings Process audit data and immediately understand potentially problematic records 2011 SAP. All rights reserved. 4

5 SAP BusinessObjects Predictive Analysis Visualize, discover, and share hidden insights Advanced visualization designed where you d expect it natively from within the modelling tool Share insights via PMML and with other BI client tools 2011 SAP. All rights reserved. 5

7 Moving Information into Memory Pre-load Table A A1 A2 A4 Table C C2 C3 Main memory (DRAM) Upon startup or re-start, only the most commonly requested columns of tables are pre-loaded into main memory from the permanent store Permanent Storage (SSD) A1 A2 A3 A4 B1 B2 B3 B4 C1 C2 C3 C4 D1 D2 D3 D4 E1 E2 E3 E4 Table A Table B Table C Table D Table E 2011 SAP. All rights reserved. 7

8 Remember the Results Pre-load Table A Table C A1 A2 A4 Table B B1 C2 C3 Table D D1 D2 D3 D4 Main memory (DRAM) On the first SQL request, columns of tables are loaded into main memory from the permanent store. They remain until purged or re-start Permanent Storage (SSD) There is near 100% main memory availability of data during the 2nd request A1 A2 A3 A4 B1 B2 B3 B4 C1 C2 C3 C4 D1 D2 D3 D4 E1 E2 E3 E4 Table A Table B Table C Table D Table E 2011 SAP. All rights reserved. 8

9 Ignore Information You Don t Need Never Loaded Table A Table C A1 A2 A4 Table B B1 C2 C3 Table D D1 D2 D3 D4 Main memory (DRAM) Tables and columns not frequently used or never requested are never loaded into main memory DRAM is subsequently <100% image of disk Permanent Storage (SSD) A1 A2 A3 A4 B1 B2 B3 B4 C1 C2 C3 C4 D1 D2 D3 D4 E1 E2 E3 E4 Table A Table B Table C Table D Table E 2011 SAP. All rights reserved. 9

10 How does HANA speed retrieval? Primary Key Secondary Key C1 C2 C3 C4 Select Single Select Group Select Column HANA works faster for ALL applications, not just SAP applications. It is insert-only, and updates are done as inserts. 100% of columns are in memory! This allows for predictability of parallel processing Insert only, updates are inserts 2011 SAP. All rights reserved. 10

12 Performance and Momentum Momentum Performance 3B scans/s/core 12.5M aggregates/s/core 1.5M inserts/s 2.5TB/hour Data Services 100M statements/hour System Replication <4min Memory Failure Recovery 6TB 250TB DRAM 10K CPU Cores 100 Nodes 100 TB 10 Years 1.2T Rows 330M 430ms 647ms 1.2s 3.1s 5458 Trained Consultants 2277 Certified Consultants 70+ SAP Solutions Powered by HANA HANA Academy: 350 Videos 52K Unique Visitors 60% Return Visits 104 Countries 2011 SAP. All rights reserved. 12

13 Choice of Deployment Environment Limited Scale Any Scale Elastic Scale Partner Scale SAP HANA One Public Cloud (AWS) SAP HANA On Premise SAP HANA Enterprise Cloud Managed Cloud Open Cloud Ecosystem Subscription license at 99 cents / hour 30GB of data max 2011 SAP. All rights reserved. 9 certified hardware partners Scales to any size Enterprise grade cloud Mission critical 24 x 7 Cross license reference architecture Portability 13

14 Next generation SAP Real-time Data Platform 3rd Party BI Client SAP Business Suite SAP Business Warehouse SAP Big Data Applications SAP Analytics SAP Mobile Custom Apps SAP NetWeaver (On Premise / Cloud) SAP Real-time Data Platform Common Modeling Sybase PowerDesigner MPP Scale-Out SAP Sybase ASE SAP Sybase Replication Server Open Developer APIs and Protocols SAP Sybase SQLA SAP HANA Platform SAP Sybase ESP SAP Data Services SAP Smart Data Services Platform SAP Sybase IQ SAP MDG, MDM HADOOP 3 rd Party DB Common Landscape Management SAP innovation without customer disruption 2011 SAP. All rights reserved. 14

15 Demonstration

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

Introduction to SAP HANA and what you can build on it Jan 2013 Balaji Krishna Product Management, SAP HANA Platform Safe Harbor Statement The information in this presentation is confidential and proprietary