https://http.cat/

My Benriner mandoline slice. Given how much I use it, and sometimes isn’t careful enough, it’s a surprise I still have all of my fingertips

Thanks!

I’ve never used salt for soaking/boiling them - when do you add it, and how much do you use?

Yep! You can also make onigiris and dip them in it

Thank you for the explanation! 😊

I’m still in doubt of what a tankie is, even though I’ve now seen it mentioned 1000 times. Also why is it called that?

One thing to be aware of is that spices’ aroma molecules will degrade faster when powdered than when whole. No idea how significant this is, but might be good to know if you’re planning on making several years worth of spice mix

That hit a bit too close to home. 😂

Yep, that’s true haha.

It’s perhaps not so much Excel, as much as it’s just the symptom of a lot of bigger issues: working without version control, without column validation or access control, limited documentation (not necessarily better in data warehouse but at least the functionality is easily accessible), limited automated testing, etc etc.

If only they could keep their data for themselves, then ok. but no no, we have to ingest it, and do work on top of it in dwh, and it just breaks so often due to a variety of different stuff.

Data (dwh) people hate Excel

https://en.m.wikipedia.org/wiki/Hanlon's_razor

Good point!

Aha I misunderstood, thanks for clarifying.

Actually for this specific context, there’s an easy solution: I reckon for llms self-hosting would be the way to go, if your hardware supports it. I’ve heard a lot of the smaller models have gotten a lot more powerful over the last year.

This is any company, government, or other organisation with +80 employees. The two other alternatives are

1. Have all data in Excel with no data governance, robust procedures, or trust in data, as the organisation grows in size
2. Use only external tools (which in turn are owned by organisations that work like I described in my parent comment)

I’d love to hear of there’s other ways of doing this stuff that actually works, but so far I just haven’t experienced it in my career yet.

As a person working in a field close to data engineering this sounds like they’re actually honest about the process.

Tldr: it’s not possible to “just delete” everything at once, even though we’d love to be able to.

There’s so many layers of where information is stored, and such insane amounts of data in their data platform. so running a clean up job to delete a single persons data in oltp databases, data lakes, dwh’s, backups, etc, would both be expensive and inefficient. Instead what they then do is to do it in stages: flip a flag somewhere (is_deleted = true) which lets it be removed from view initially, and then running periodic clean-up jobs.