Sap hana platform sps 11 introduces new sap hana hadoop integration features
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SAP HANA Platform SPS 11 introduces new features that improve integration with Hadoop, including enhanced performance and SQL support in SAP HANA Spark Controller 1.5, along with new authentication options. It also extends integration by supporting bi-directional data relocation between SAP HANA and Hadoop using Data Lifecycle Manager and enabling in-memory processing on Hadoop clusters with SAP HANA Vora.
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Hadoop integration with SAP HANADebajit Banerjee This guide was generated in Jan-Feb'2014 timeframe.
Using the feature of SAP HANA Smart Data Access(SDA), it is possible to access remote data, without having to replicate the data to the SAP HANA database beforehand. The following are supported as sources(till 2013):
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- SAP Sybase ASE,
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SAP HANA handles the data like local tables on the database. Automatic data type conversion makes it possible to map data types from databases connected via SAP HANA Smart Data Access to SAP HANA data types.
This guide will explain the step-by-step approach SAP HANA SDA for Hadoop data - which also include the following :
- Hadoop Installation
- Data Load in Hadoop system
- Activities on Unstructured Data in Hadoop system
- ODBC Driver installation & configuration on HANA Server for Hadoop system data access
- Smart Data Access in SAP HANA (through SAP HANA Studio), using HADOOP as a remote data source
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