The world of Data Engineering – and LinkedIn as a consequence – is full with the latest and greatest tools for big, bigger, biggest data. But while everybody is chasing the latest functions of Databricks, Snowflake and DuckDB, there is a plethora of companies that are still running good old SQL databases in production. Often times, this is a proper choice and it works for many. As a consequence, data engineering is in practise often done in SQL databases like…
