Kirsten Lum

Faaaaascinating. Looking forward to your analysis of the results. Crossing my fingers for a Simpsons paradox

Those checks are run in-environment (rather than passing raw data to a service). That part was hard

Yes! We developed a way to perform statistical and natural language checks to identify joinable columns in real-world (that is, fubared) data. If brute-forcing it would be ~$100ks and weeks of runtime, we do it in ~$10 - $100s in minutes or hours

Yes — it is that, and it is beyond that! Even in cases where your pk/fk are malformed, like mismatched types, mismatched column names, contain prefixes/suffixes, etc.

Cube gets it. We SHOULD be able to build a semantic layer in the data platform but we can’t (not one that actually helps the analytics workflow anyway). Thus these tools that fill the gap!

I think it’s easy for math folks because math operates logically — but what I think they miss is reality operates logically too!

Well grain of salt, I managed to get out of 100% of math classes in my undergrad. But even among math heavy degree havers like engineers, when they’d ask me how I was able to understand/convince across disciplines/levels, I’d tell them to read the textbook from my logic class!

Ah yes, going the other way! Uhhhh I’m going to make a mental note that we could probably reverse this process 🤔🤔

This exact impulse was what inspired this tool: bsky.app/profile/mach...

This dashboard could have been a Google sheet

Formal logic was the most useful course I took in college. Hard to explain that there is a style of thinking that helps you to quickly and precisely understand and explain what’s going on in any situation.

A much more hopeful picture!

One of my professional “worry stones” is that the orgs who were able to set up data infrastructure tend to be bigger for-profits. If AI is revolutionary, that means orgs like education, non-profits, etc are left behind. It still takes way too long to set up a basic DW. Wish I knew the solution

*rolls up sleeves* on it!

Finally able to prove I haven’t been just complaining this whole time!! 😭

And not a dumb question 😊😊

What the downside to doing both of these in SQL?

Trying to make each and every transform efficient in the micro leads to inefficiencies in maintenance in the macro

That is, by default, do the transform in SQL, and only think about whether to do it in the database or the client if you run into a blocker doing it in SQL.

No need to litigate every transform — scarcity mentality in an era of compute riches

Trying to make each and every transform efficient in the micro leads to inefficiencies in maintenance in the macro

Does using the reports the service provides count? Like the GA dashboards inside GA? Or are you thinking more like grabbing some SQL/Tableau templates to run on the data in the DW?

Pivots 🥲🥲

And isn’t it wild that on the receiving side of the message, appreciation is one of the greatest gifts?

Feels small to give, but immense to receive

Sorry I literally just saw your name got autocorrected @vickiboykis.com. I assume this is a similar experience as when people call me Kristin, and I am proportionately appalled/apologetic.

Yes! Like a daydream poking into reality

Hmm like versus an app? For the audience I had in mind (like <12), I would say it’s at least preferable!

Yess this is exactly the vibe that I had in mind. Something like this crossed with Teenage Engineering for the paperback sci fi vibe

and maps analog inputs/outputs.

Startup idea — a toy that looks like a generic hand-held computer with a few analog inputs/outputs (buttons, switches, lights) and a screen. Kid can use voice to describe an adventure they want to have (exploring a jungle, space rescue mission, vet on Mars). Toy generates a relevant UI onscreen…