Juan Ramos

Hey, thank you so much for your answer - forgot to get back to you.

Absolutely - I’m thinking about that, too: how does one make sure that the analytics or data engineer has explored the data of the model they have built?
Asking for descriptive stats seems like a good way to do so, as even in new tables there aren’t that many “different-from-usual” columns

Thanks for the recommendation!! Currently in the process of implementing dbt-checkpoint in our CI for making sure that our style guide is followed through

@nicoritschel.com hey Nico! I’m finding out about sidequery and it looks so cool.
Is it possible to query s3 parquet files? Thinking it might be a good way to explore data transformations that come out of dbt in a qualitative way

I can think of adding a PR template that makes the developer say “yeah, I audited the data”, and that might be a first good practice. It’s just so contingent of the business requirements to make sure that the data can be useful

How do folks handle developers validating data quality before doing a PR? I’m talking about the small things, such as not naming “something_id” a string column with unrelated column and such.
Impossible to check programmatically (afaik), but has huge impact on data consumption #databs

"I meet lots of idealistic folks who think that all they’re missing is money, or credentials, or access to the levers of power. More often, what they’re really missing is friends."

Is this a career? The trouble with “working in data.”

After reading the latest Benn’s piece, open.substack.com/pub/benn/p/i..., I’m curious: what cliffs to climb are there for data people?
I can see growth roles as pointed by Abhi, product roles, finance roles.
I guess it’s really open, harder question being how does one get there? #databs

Each time more convinced that, at sales-driven companies, departments different from the Sales one end up becoming cynical about the product. There’s this sense that you’re bluffing the customer, as if in the process of zeroing in selling more you expel the care and soul from the product

Alright so now most of my followers are porn bots.
I wanted to become Bluesky famous but not like this 😫

Anyone using the Activity Schema in practice? How does it hold up against more known ones such as Dimensional Modeling?

Asking because we are starting a project from scratch and curious about how it holds

#databs

New job starting today. Super excited.

Wish me luck!

So glad you did 🐉

Data Work would be akin to using the Hunting Horn in Monster Hunter: you’re not essential for the hunt, but you get to enjoy being the coolest while gifting buffs to the ones that can hit the hardest

well this looks super cool! congrats, will get it for sure :)

What I'm most excited about though is the focus on delivering value & the concretes way to do so brought by people such as @cedricchin.bsky.social + XmR Charts & @abhisivasailam.bsky.social + Metric Trees.

"Identifying the levers of the business & helping pulling them" is so hot for the data people

little update: uv added ~3s of overhead, so 4s it is.

Point remains, though: `sdf lint` seems an actual contender to displace sqlfluff in the linter category just because of how fast it is

and I say this without wanting to throw any shade to sqlmesh at all. They've done so many amazing design choices.
However, following JS' trend of using Rust (or Zig or whatever) as the tooling language seems the right decision. Speed matters. It seems to unlock other cool stuff along the way too.

What's cool about sdf is that it is the first transformation tool in the data space that feels fast. A pity that it's not open source.

Sqlmesh, in comparison, is really slow. Running `uv run sqlmesh plan` in a personal, small project takes ~7s to run, which is great if I go back to dbt, but still.