Data provisioning involves selecting source metadata and importing its metadata and data into the SAP HANA system. There are three methods for data provisioning in SAP HANA: SAP BusinessObjects Data Services, SAP Landscape Transformation Replication Server, and Sybase Replication Server
SAP HANA allows you to perform real-time analysis on data in SAP
systems as well as non-SAP systems. SAP HANA uses in-memory technology that
stores data in columnar form as opposed to the traditional row store databases.
This type of format allows for faster data processing, better compression, and
faster query response time on very large volumes of data.
When used as a database, SAP HANA replaces the traditional
relational database management system (RDBMS) as the database back end for SAP
applications, such as with the newly released SAP NetWeaver BW powered by SAP
HANA. Used as an appliance, SAP HANA acts as a platform on which you can build
various applications.
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