@mattarderne Same reasons most processes are manual and most analysis is done in excel. Least common denominators that everyone understands. Inter-organization or even inter-department integrations are often deemed not worth the effort
@mattarderne I think it was @bennstancil who said when data teams are popular, open ended tools are popular. When data teams decline, so rise the more opinionated tools
Most businesses are not at either extreme
Metrics are the lifeblood of data-driven companies; and to really drive value with data, companies need *enough* of the *right* metrics.
https://t.co/cd31uXn2ov
Today is a milestone day. 10 months ago, data leadership took a chance on "analytics engineering" after I kept insisting on it. They said "OK - you lead a team of 2 others, go build."
Today our core database launches (& more!). It's been quite a journey, time for a🧵
Today, we’re releasing General Availability of Select Star 🚀
Starting today, Select Star is available for anyone to try it out for Free (or use it for Free forever).
Founding story 🧵:
@sarahmk125 @sarahmk125 we do this at Datateer for all of our customers. It never made sense to me to do it manually. One Datateer module, with submodules for each feature or tool. Each customer has a simple config file. I would like to compare our approach with others, if any are out there
"One of the pillars in our stack is Prefect, which pioneered this hybrid approach. As mentioned earlier in this article, if they have designed for it, they can prevent your raw data from flowing anywhere unnecessarily."
- @adamroderick
https://t.co/BcZETCswer