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Technical Information

SAP Data Hub includes a modern UI for hub management to manage an end-to-end data landscape that connects enterprise data with big data. It enables creation of a copy of a landscape segment for data scientists, which can be erased or destroyed to meet data governance requirements as well as provide isolation from productive use cases for resources optimisation. With fine grain, end-to-end security provided by policy management functionality, it will manage access control of all data – enterprise and big data – consistently.

 

Data discovery capability includes profiling of data natively without leaving the source. Managing a repository of all forms of data and metadata, it offers data lineage and enables impact analysis. It offers rich data transformation, quality, and enrichment offered by SAP EIM tools natively in SAP Data Hub.

 

One of the powerful features of SAP Data Hub is data pipelining, which connects data in different formats (for example, AWS S3, HDFS) and makes them accessible to SAP Vora for analytics. These features are summarized under the capabilities section. In addition to allowing use of existing data ingestion tools and orchestrating them within SAP Data Hub, it offers an easy to use advanced data pipeline to move data when needed from various sources, including Amazon S3 to Hadoop HDFS, HDFS to SAP Vora and SAP Vora to HDFS.

Implementation

For the initial release, SAP Data Hub will be offered as an on-premise application. However, its architecture is cloud ready, a PaaS and SaaS version will follow in future releases. Existing customers continue to use data integration tools – SAP Data Services, SLT, SAP HANA smart data integration for data integration, data virtualisation, and data replication – but with SAP Data Hub, they will enjoy the additional benefit of the orchestration of the underlying integration tool and end-to-end monitoring.

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