5 things @dksmith01 learned using our portco’s product - and why other VCs should do the same.
Read more in his recent article @techeu 👇
https://t.co/y6nBpRR1DF
the ultimate dbt canvas...if that's even possible
I spent a week diving into every piece of documentation, tutorial, blog post, slack and reddit threads I could find in order to assemble this guide.
My hope is it's useful for dbt newbies, experts & everyone in between! 🤞
Don't just spot-check the final output of your data model. Following a subset of data through every step of your model is a powerful way to find bugs quickly and explain your model to tech & non-tech audiences
(4) Ask them to help
Nothing brings two people together like having a shared goal - so simply asking for their help on a definition or defining a business process will bring you together again.
i see the Modern Data Stack™️ space has moved on from putting SQL in all the notebooks to putting it in Notion / Miro clones (@hyperquery / @counthq)
honestly Count is pretty wild
(but wen R ...or python if u must)
What if your analytics could truly work at the speed of your thought? Check out how @counthq upgraded to @DuckDB Wasm for lightning fast in-browser processing!
Not only is it fast, but it reduces cloud costs and Count scales more easily. A win-win!
https://t.co/xz6muYg1En