What is a Productive Data Engineering Team?


This whole post is amazing. Here's my favorite paragraph:

Once a data pipeline is first released, it doesn’t stay at its initial usage; it almost always grows. There is pent-up demand for data products that the pipeline starts to facilitate. New data sets and data sources will get added. There will be new processing and consumption of data. In a complete technical free-for-all, you will end up with issues. Often, teams that lack qualified data engineers will completely misuse or misunderstand how the technologies should be used.


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