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HANA Overview and Capabilities

HANA Overview and Capabilities. Dr. Bjarne Berg . Why In-Memory Processing? . Focus. Technology. 1990. 2012. Improvement. 0.05 MIPS/$. 304.17 MIPS/$. 6083 x. CPU. 0.02 MB/$. 52.27 MB/$. 2614x. Memory. 2 16. 2 64. 2 48 x. Addressable Memory. 100 Mbps. 100 Gbps. 1000 x.

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HANA Overview and Capabilities

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  1. HANA Overview and Capabilities Dr. Bjarne Berg

  2. Why In-Memory Processing? Focus Technology 1990 2012 Improvement 0.05 MIPS/$ 304.17 MIPS/$ 6083x CPU 0.02 MB/$ 52.27 MB/$ 2614x Memory 216 264 248x Addressable Memory 100 Mbps 100 Gbps 1000 x Network Speed 5 MBPS 620 MBPS 124x Disk Data Transfer Source: 1990 numbers SAP AG, 2012 numbers, Dr. Berg Source: BI Survey of 534 BI professionals, InformationWeek, 2010 Disk speed is growing slower than all other hardware components, while the need for speed is increasing.

  3. In Memory Processing — General Highlights — BWA BWA = SAP BW Accelerator

  4. SAP HANA — In Memory Options • SAP HANA is sold as an in-memory appliance. This means that both Software and Hardware are included from the vendors • Currently you can buy SAP HANA solutions from Cisco, Dell, Fujitsu, IBM, and Hewlett-Packard • SAP HANA currently indexes the data from a variety of sources, including ERP and BW and store the result on a dedicated server • The future of SAP HANA is to replace the databases of ERP and BW and run these on the in-memory platform Source SAP AG,2011 SAP HANA has the potential to radically change the way databases operate and make systems dramatically faster.

  5. The Different Editions of HANA

  6. Looking Inside SAP HANA — In-Memory Computing Engine (IMCE) AAAA Persistence Layer Disk Storage Data Volumes Page Mgmt. Session Manager Logger Log Volumes Replication Server Load Controller Relational Engine -Row Store -Column Store Metadata Manager MDX SQL Parser Authorization Manager SQL Script Transaction Manager Calculation Engine BusinessObjects Data Services Inside the Computing Engine of SAP HANA we have many different components that manage the access and storage of the data. This include MDX and SQL access, as well as Load Controller (LC) and the Replication Server.

  7. Row based index

  8. As we can see, there are only 7 unique states and 3 unique customer classes in the data. This allows SAP HANA to compress this data set significantly By including the Row ID in the column-based index in SAP HANA, the “ownership” of the values in the index can still be mapped back to the record Row- vs. Column-Based Indexing (cont.) Column-based indexes on fields with repeated values often leads to better compression ratios and thereby lower size of the indexes (as we can see, there are few values repeated in the rows).

  9. SAP HANA — Virtual Marts and Applications • Virtual data marts and new applications were built that run on SAP NetWeaver BW, which is again enabled by SAP HANA in-memory processing Applications developed by SAP Planning & consolidation Customer revenue performance mgmt Predictive segmentation & targeting Trade promotion management Merchandise & assortment planning Sales & operations planning (SOP) Demand signal repository Profitability analysis Dynamic cash management Strategic workforce planning Smart meter analytics (power companies) Enterprise Data Warehouse – SAP BW ERP HANA (in-the works) BI Solutions Virtual Data Marts Virtual Data Marts Database Applications Virtual Data Marts Virtual Data Marts Databases Files This provides much tighter integration with the source system (less data latency) and much faster query response time for high-volume analysis

  10. The Hardware – IBM Example

  11. Client Demo

  12. SAP HANA — Loading the Application and Performance You can load the application based on the logs in the source system, ETL-based (Extract Transform and Load) loads, and SAP trigger-based replication ToolPurpose BusinessObjects Data Services 4.0 – ETL-based replication Sybase replication server &Load Controller – Log-based replication SAP Landscape Transformation (LT) – Trigger-based replication Log based replication is possible on IBM DB 2 LUW/UDB, MSFT SQL Server Enterprise Edition, Oracle Enterprise Edition, and Sybase ASE

  13. Opening HANA Admin

  14. Adding New System in HANA

  15. Adding New System in HANA

  16. Creating HANA system connection

  17. Setup HANA Security Authentication

  18. Changing a HANA password

  19. Creating HANA Security questions

  20. Creating HANA Security questions

  21. Your HANA System in the Navigator

  22. Searching for a table in HANA

  23. The table definition inside HANA

  24. All HANA tables

  25. Open a HANA table

  26. Browsing data in a HANA table

  27. Opening HANA Admin

  28. HANA memory usage

  29. Creating a New HANA Table

  30. Creating a New HANA Table

  31. Creating a New Products HANA Table

  32. Defining a new Sales HANA table

  33. Accessing Data Services to Load data to HANA

  34. Accessing Data Services to Load data to HANA

  35. Linking Data Services to HANA datastores

  36. Linking Data Services to HANA datastores

  37. Linking Data Services to HANA datastores

  38. Our new Data Services HANA repository

  39. Data Services HANA repository objects

  40. Importing HANA table definitions

  41. Importing HANA Customer table definition

  42. Importing HANA Sales table definition

  43. Linking data files to load to HANA

  44. Linking data files to load to HANA

  45. Defining file format for loading data to HANA

  46. Defining data file format for HANA data load

  47. Saving file formats

  48. Customer file for HANA data load

  49. Replicating Product file for HANA data load

  50. Replicated Product file for HANA dataload

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