Finish Slime #33

Product Data Team 101, Streaming SQL, SQL is not for Analytics

Data Engineering, Analytics. No ML, no AI. The weekly dose of the data content you actually want to read!

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Great Recent Stuff

Going from service to product data team is a desire for most data people. However, it isn’t a change without challenge. This post covers all of the basics you need to know.

Netflix has a data platform called the data mesh; this post covers one component of this platform, the SQL streaming processor, a unique and powerful tool. 

The Open Source Analytics Conference held digitally from the 12th to the 14th of December this year is an excellent opportunity to learn what's happening in the analytics space, as it is so heavy on open-source.

I love hearing about how people get into a role because it always helps to shape one’s own perspective and understand weaknesses and strengths.

Data versioning is still an underrated technique. This article provides a decent set of examples and explanations to hopefully convince you of the benefits of data versioning.

This is an interesting discussion with the founder of Redpanda Data, a Kafka alternative in a market very much void of alternatives.

This article is based on a talk (also shared in the article) given at Data Council. Data exchange between companies is common, yet little is written about it explicitly. It’s an interesting topic to dive into!

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