SAP Data Hub 2.4 was released in Janaury 2019. While this is an incremental release, following the Introduction of SAP Data Hub 2.3 major release, it is more than just corrections and bug fixes. There are several new features and key enhancements which provide greater flexibility and more protection for customers.
What's new in SAP Data Hub 2.4:
Extending native connectivity to support more databases and applications
Today, SAP Data Hub already provides a broad spectrum of connectivity to big data and enterprise sources. As integration remains a building block for the digital transformation, one of the priorities is to continuously grow the native connectivity with more enterprise applications.
In this release, SAP added direct integration with several structured data sources including MS SQL Server, MySQL, IBM DB2, and Google BigQuery. Once a connection is established, SAP Data Hub will automatically crawl the metadata for these connected sources. You can then browse, view, profile, catalog, and share the data directly within the Metadata Explorer. In addition, there are more than 350 predefined operators and data pipelines that already exist ready to be used for supporting broader scenarios.
Enabling Data Lineage for disparate & distributed data sources
SAP introduced the SAP Data Hub Metadata Explorer in the previous release. The goal is to provide a centralized location for all data professionals to gain insights on diverse datasets in today’s modern distributed landscape.
This release SAP is increasing our investment in metadata governance by offering end-to-end support for data lineage at the schema level. You can use the new lineage analysis feature to view a graphical representation of the source, transformations, and dependencies of a dataset. Lineage information can be extracted from computed datasets such as SQL View, and other types of computations including stored procedures, BW transformations, datastores, and the Data Hub pipeline modeler.
The Data Lineage feature will further help you to gain visibility about your data assets and greatly simplify root cause analysis. You will have a clear understanding of the data’s origins, how the data may have changed, and which areas might be consuming the data.
The initial support is focused on SAP connections including Business Warehouse, HANA, Vora and data pipelines. Our plan is to extend this functionality towards all supported sources as well as allow a complete audit trails for business security and compliance in future release
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Providing a new Anonymization operator for individual’s privacy protection
With GDPR being enforced in 2018, SAP knows meeting this regulation is still on everyone’s mind. Previously, you could use the data mask operator to mask out all or a portion of the data that contains sensitive information. Now, you can use the new anonymization operator to further protect the privacy of each individual identity by grouping similar records into a category. Thus, you can discover statistically valid insights from your data without risking re-identification of individuals.
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