- Tags:: 🗣️Talks , Data team vision and mission, Measuring a data team impact
- Link:: Data Mesh at Flexport: Driving Buy-in and Social/Org Challenges; Data Mesh Learning Meetup #13 - YouTube
- Author:: Abhi Sivasailam
- Source date:: 2021-10-07
- Finished date:: 2021-10-14
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Practically same approach than us at Mercadona Tech
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Producer data marts and consumer data marts
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Security: DBT and Terraform for roles!
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Parse queries to monitor joins!!! That says something about your modeling
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Metrics: Time to reliable insight
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He doesn’t not see a need of different structures for ML and BI: DS would prefer curated data too (as long as your model is expressive enough).
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Real time is overrated.
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Analytics engineering not only is helpful downstream (analysts, DS) but also upstream to teams: if data models are so important in apps, having experts in data modelling will help your tram.
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The default assumption (for teams) should be to expose everything.