Sponsored Keynote: Building a Financial Lakehouse with Legend
summary
Claims an operational integration of Legend frontend + Databricks backend that maps domain models and governance into executable pipelines, using Spark, Delta Lake and MLflow under FINOS. It programmatically infers and validates schemas and business rules (currency codes, interest bounds), provisions pipelines automatically, and reduces manual ETL and tool sprawl. The prototype enforces lineage and continuous improvement so business analysts and data engineers collaborate on the same governed data and see rules applied end to end.
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chapters (7)
- 0:00Introduction
- 0:33Databricks
- 1:05Bring business and technology together
- 2:20Why is technology a problem
- 3:39Simplifying the data ecosystem
- 6:10Legend to Databricks
- 7:43Summary
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