June 2023 recommended content
Links shared with my data platform engineering team during June 2023
"The root cause of all problems in analytics" is lack of shared understanding and problem framing!
I'm eager to apply this BigQuery anti-pattern recognition tool on the compiled dbt SQL as part of our CI/CD to give users feedback on their models
SQLmesh looks more and more interesting, recently adding data diff feature, likely trying it out in our next hackathon (From Kasper Ramström). There’s also a great podcast about SQLmesh.
Dev containers may come handy when the team grows, this looks like a great extension to VSCode (From Mattias Liljenzin)
A whitepaper on BQ and dbt that contains tips, tricks and best practices, likely something to learn for most.
I recently praised Apache Beam as a core component in our architecture, I'm looking forward to the virtual summit (free)