The Components of the SAP Data Warehousing Architecture

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 Before going to SAP Data Warehousing, know what is this concept. Data warehousing is a system where transformed data is collected from both homogeneous and heterogeneous data sources and loaded into a single centralized data repository.  

SAP data warehousing solutions are cloud-based. It combines data and analytics in a multi-cloud environment that includes data warehouse, data integration, and analytics for any data-driven organization. SAP data warehousing is built on the SAP HANA Cloud database and is available as a Software-as-a-Service. It ensures that business data is better understood and informed business decisions can be made based on real-time information.



Components of the SAP Data Warehousing Architecture

 The SAP Data Warehousing Architecture consists of four parts – data sources, staging zone where ETL processing is done, types of data in the warehouse, and data access. 

 The data sources comprise the ERP systems, CRM systems, flat files, financial applications, and operational systems.

 The staging area is where Extract, Transform, and Load operations are done on the data taken from various sources. The ETL performs after all the data are brought to a single staging area. In ETL, the data is first extracted from the source, then transformed as per user needs, and lastly loaded into the SAP data warehousing platform for use in analytics

 Typically, data warehouses contain metadata which in its simplest definition is data about data and the basic data that has to be processed and formatted for everyday reporting and analytics.

  Finally, in the presentation layer, users perform OLAP operations on data taken from the SAP data warehousing system for analytics. 

These are the components of the SAP data warehousing solution. 

 


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