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Make SAP BW data available for AI, machine learning, and analytics without ETL or data duplication.
AI and machine learning models depend on high-quality, contextual data. In this demo, Sandy, product manager for SAP Business Data Cloud, shows how to share an SAP BW data product from SAP Datasphere to SAP Databricks through Delta Share using a zero-copy approach.
You’ll see how data teams can find a BW data product in the SAP Business Data Cloud catalog, share it to SAP Databricks, and use it in a notebook to create a sales prediction by region and calendar year. The walkthrough also shows how predicted sales results can be saved as a dedicated table, shared back to SAP Business Data Cloud, and made available in the catalog for use in SAP Datasphere.
With SAP Databricks natively available in SAP Business Data Cloud, organizations can help data scientists, engineers, and analytics teams work with trusted SAP BW data more efficiently. This supports AI, ML, data science, and modern analytics use cases while preserving business context.
Explore how to evolve your SAP Business Warehouse:
https://www.sap.com/products/data-cloud/sap-bw-migration.html
Chapters:
00:00 – Introduction
00:08 – Why contextual SAP BW data matters
00:54 – Find a BW data product in SAP Business Data Cloud
01:21 – Share data to SAP Databricks
01:39 – Confirm the data product in Unity Catalog
01:57 – Build a sales prediction scenario
02:49 – Save predicted sales results
03:04 – Share results back to SAP Business Data Cloud
04:12 – View the published data product
04:35 – Recap and next steps
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