Achieving Lakehouse Models with Spark 3.0

It’s very easy to be distracted by the latest and greatest approaches with technology, but sometimes there’s a reason old approaches stand the test of time. Star Schemas & Kimball is one of those things that isn’t going anywhere, but as we move towards the “Data Lakehouse” paradigm – how appropriate is this modelling technique, and how can we harness the Delta Engine & Spark 3.0 to maximise it’s performance?

This session looks through the historical problems of attempting to build star-schemas in a lake and steps through a series of technical examples using features such as Delta file formats, Dynamic Partition Pruning and Adaptive Query Execution to tackle these problems.

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