Modern Data Architectures – What They Are and How to Implement?
summary
Explains why modern pipelines flip ETL to ELT and put cloud warehouses like Snowflake and BigQuery at the center, shows when a data lakehouse (Delta/Iceberg/Hudi) is worth the added complexity, and demos DBT as the transformation and CI/CD layer for testing and lineage. Argues organization-first: start centralized, then adopt data mesh ideas — domain ownership plus data contracts and federated governance — and gives concrete tradeoffs and tool names for each stage.
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chapters (4)
- 0:00Introduction
- 0:34Session "Modern Data Architectures – What They Are and How to Implement?" by Matthias Niehoff
- 35:59Matthias answers questions from the audience
- 40:26Outro
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