How to Perform Data Provisioning in SAP HANA Studio
- by Rakesh Kalyankar, SAP NetWeaver BW- and HANA-certified consultant, SAP
- April 15, 2012
Learn the steps behind using two methods for data provisioning in SAP HANA: SAP BusinessObjects Data Services and the SAP Landscape Transformation Replication Server. These steps serve as the foundation for the bigger task of deploying your first data model in SAP HANA.
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 (the third method is not discussed in this article).
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.
Components of SAP HANA
When you buy SAP HANA 1.3, you receive the following components:
- The In-Memory Computing Engine (IMCE), which includes:
- Calculation engine
- Relational engines
- SQL and MDX interfaces
- Persistence layer
- Disk storage
- Other administrative modules, such as authorization manager, metadata manager, and replication server.
- SAP HANA Studio, which facilitates modeling and administration. SAP HANA Studio is a client tool that connects to the IMCE.
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