IDUG EMEA 2024

This session introduces the Lakehouse concept and what sets it apart from data lakes and traditional data warehouses. We focus on mainframe operational data stores as data feeds, and how such feeds can be integrated with other, non-mainframe data sources, how Lakehouses re-invent analytics and how machine learning training pipelines can be fed using data extracted and refined on a Lakehouse. 
We will use watsonx.data as the Lakehouse implementation, but the approach translates to any Lakehouse because of the use of open data formats.