HANA Platform Real Time Data Transformations

Transcription

1 HANA Platform Real Time Data Transformations Jiří Ptáček Professional Services & Support Manager

2 Agenda 1 Company 2 SAP Real Time Data Platform, SAP Hana Platform 3 Concept of the Solution 4 SAP Hana 5 SAP Sybase Replication Server 6 Use Cases

3 WHO is MDSap and Sybase Products? MDSap stands for MDS Advance Program Tech SAP partner for database and analytical solutions in CE, TR, ME regions SP stands for Sybase Products SAP distributor of Sybase products in CE, TR, ME regions MDSap, SP are parts (as well as other companies, for ex CA Tech, Apcom, etc in CE, ME, Africa) of the MiDiS holding with HQ in Dubai MDSap and SP provide on the CZ market: distribution of Sybase and other SAP products technical support service (help desk, maintenance) SAP authorized trainings products consultancy services projects delivery in BI, DB, business and predictive analytics, EA, data integration, and mobility areas Central & Eastern Europe Africa Middle East

4 SAP Sybase PowerDesigner modelling SAP Real Time Data Platform, SAP Hana Platform SAP Sybase Control Center monitoring SAP Data Services / SAP Sybase Rep Server information management

5 Hana Platform - Re-think IT Landscape Simplicity Take the processing to the data Separated Transactions + Analysis + Acceleration processes One in-memory atomic copy of data for Transactions + Analysis ETL ETL Cache SAP HANA (DRAM) Transact Analyze Accelerate Redundant data in and across applications Inherent data latency Transformations in batches VS Eliminate unnecessary complexity and latency Accelerate through simplification Very low latency Transformations on request

6 Concept of the Solution Primary Systems SAP Sybase Replication Server SAP HANA Platform views users Warm Data (Dynamic Tiering option)

7 SAP HANA - Dynamic Tiering Hana DB can act as Data Mart, Data Warehouse, Operational Stage DB Handle very large data sets terabytes to petabytes Update and query all data seamlessly via HANA tables Application defines which data is hot, and which data is warm HANA Database Service Fast data movement and optimized push down query processing HANA Database Engine Table Table Extended table HANA Dynamic Tiering Engine (warm data) All data resides in extended store

8 SAP Sybase Replication Server Key Facts Replication Server - mature and robust data movement product Recognized as a leading replication product by major industry analyst firms: Gartner and Forrester SAP Sybase Replication Server: more than 20 years experience in replication solutions (introduction of Replication Server in the autumn of 1993) Used by over 3000 customers worldwide in a variety of industries (Telco, Finance, Federal and Healthcare) Heterogeneous replication used by over 400 customers Proven in mission critical, mixed database environments for ASE, Oracle, MS-SQL and IBM DB2 UDB Customers in the Czech Republic: Ceska Posta, DHL, FIO Banka, Commerzbank, KBC, KUPEG,

9 In-bound Connectivity(LTL) SAP Sybase Replication Server Currently Change Data Capture Replication Engine Routing & Distribution Primary Replication Server Sources: SAP HANA SAP ASE Oracle MS SQL Server IBM DB2/UDB IBM DB2/OS390 Message Bus Replication Agent Administration & Monitoring Rules Engine Transformation Catalog DB Message Repository Target DB Connectivity Replication Server Secondary Targets: SAP HANA SAP ASE SAP IQ SAP ESP SAP Data Services Oracle Microsoft SQL Server IBM DB2/UDB IBM DB2/OS390 Message Bus

10 SAP Sybase Replication Server Architecture of Common Use Cases

11 Use case Data Integration Mart Primary Systems SAP Sybase Replication Server SAP HANA Platform DWH Business Reporting Message Bus Warm Data (Dynamic Tiering option)

12 Use case Real Time DM, DWH Primary Systems SAP Sybase Replication Server SAP HANA Platform Business reporting Business analytics Predictive analytics Warm Data (Dynamic Tiering option) Message Bus

13 Use case Real Time ODS Primary Systems SAP Sybase Replication Server SAP HANA Platform DWH Business reporting Warm Data (Dynamic Tiering option) Business analytics Predictive analytics Message Bus

14 Conclusions Real Time bidirectional data movement technology for heterogeneous environments In memory technology for ad hoc business and predictive analysis No need to replace or remove any component or technology of the infrastructure, the solution is a new brick of the existing house Data transformations are done ad hoc by data request No performance impact to the primary systems

15 THANK YOU FOR YOUR ATTENTION QUESTIONS? WWWSYBASEPRODUCTSCOM WWWMDSAPTECHCOM