From ETL to Lakeflow: Shifting to a Declarative Data Paradigm (opens in new tab)

If you've worked on a data platform for more than a few years, you've almost certainly built the same pipeline twice. First, the way the team wrote pipelines in 2019: a notebook here, a Python script there, an to glue it all together, and a long document explaining the order things had to run in. Then the rewrite, two years later, when somebody quit, and nobody could remember why a particular task had a sleep(180) in it. Lakeflow is Databricks' answer to that pattern, and the shift it's pushi...