SAP Solution: Data Fabric

Volume frameworks and data structures are the basis of every successful business app. With this in mind, SAP has been trying to implement Gartner's data fabric paradigm for many years, first with Data Hub and now Datasphere.

Hewlett Packard Enterprise has announced application, analytics and developer services for its GreenLake edge-to-cloud platform. They support data-centric modernization in hybrid cloud environments.

There is a new version of the legendary Data Hub at SAP. Because the former project failed miserably, it was quietly disposed of and is now to be replaced by Datasphere together with partners beyond the SAP community.

For a long time, CEOs, CFOs and CIOs ignored the data problem. But with the transformation to S/4, this is no longer possible, because the discussion about algorithms and data structures shows: Data drives processes!

No monthly SAP news should be disregarded. The Short Facts are dedicated to smaller news items as well as seemingly more or less important statements from the community. This is the place for SAP-specific press releases that otherwise tend to be overlooked.

Where and how enterprise data is stored and the texture of the data itself is critical not only to IT success, but to digital business success in general.

Viewed as a whole, it is a simple task - in detail, it becomes complex: Classic machine learning can only be successful with large amounts of data for learning and testing. And this data should be available quickly.

The OpenStack initiatives clearly show: SAP is specifically focusing on open source and thus accelerating its own innovation speed. SAP customers should now take a closer look at OpenStack.