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Thursday, October 28, 2021

The Incremental ETL Architecture
John O'Dwyer
John O'Dwyer
Databricks, Developer Advocate

Incremental ETL in a conventional Data Warehouse has been possible for some time but scale, cost, accounting for state and the lack of access for machine learning make it not ideal. Until now, Incremental ETL in a Data Lake has not been possible due to factors such as updating data and identifying changed data in a big data table. Incremental ETL also makes the medallion table architecture possible and efficient so that all consumers of data can have the correct curated data sets for their needs. We will discuss the advances in big data technology that make Incremental ETL possible as well as the architecture as a whole.