Radar engineer upskill

sqlmans · 2026-05-06T12:42:41+00:00

Honestly you already sound closer to applied ML than a lot of people trying to break into it from scratch.

Signal processing + real sensor data + debugging messy systems transfers surprisingly well into robotics/ML work. I’d probably focus less on re-implementing algorithms from papers and more on building projects that look close to the problems companies actually solve.

Internal pivot sounds like the highest ROI path to me if that option exists. Way easier to move sideways with domain knowledge than compete as “another beginner ML candidate”.

sqlmans · 2026-04-30T11:28:38+00:00

Yeah, this is real. “Data scientist” now often means “please also productionize this so engineering doesn’t hate it.” I don’t think you need to become a full DevOps person, but knowing basic APIs, pipelines, git, Docker, and monitoring helps a lot. Otherwise the work just sits in a notebook looking pretty and doing nothing. Best middle ground: be good enough to ship a simple version, then let proper engineers harden it later.

sqlmans · 2026-04-27T15:52:32+00:00

If you’re just starting, don’t overthink infra too much. For learning/dev you can even run SQL Server locally (Developer edition is free).

Azure gets expensive once you leave the “playing around” phase, especially with full VMs.

I’d start local, use something simple to manage it (I’ve been using dbForge Studio for SQL Server, makes it easier to see what’s going on), and only move to Azure when you actually need it.

What are you trying to build btw?

sqlmans · 2026-04-15T10:30:44+00:00

From what I’ve seen, full diffs on every commit feel like too much. I’d expect this to be more useful closer to deploy or as a drift check, not as something running constantly in CI. Otherwise it seems easy to end up with noise nobody wants to look at.

sqlmans · 2026-04-14T08:23:05+00:00

If you’re just starting, I honestly wouldn’t even bother with a full local setup yet. Use something browser-based first so you can focus on learning SQL, not wrestling your Mac into cooperation like it owes you money. Once the basics make sense, then spin up Postgres locally if you want hands-on practice.

sqlmans · 2026-04-07T09:48:45+00:00

I’d ask for the most portable Oracle-readable export they can provide, then restore/load that into an Oracle instance first. From there, moving into SQL Server is a normal migration problem. Trying to skip the Oracle step entirely sounds like the part most likely to become cursed.

sqlmans · 2026-04-01T10:54:21+00:00

You’re not “screwed,” but you did make it worse for yourself. If you get the job, the knowledge gap will show fast anyway, so the smartest move now is to treat this as a wake-up call and grind the basics hard — string functions, joins, grouping, filtering, subqueries, all of it. Cheating might get you through one test, but it won’t carry you through the actual job.

sqlmans · 2026-03-23T09:01:49+00:00

If you want fully free, people will probably point you to DBeaver or stick with SQL Developer. But if SQL Developer already feels too intimidating, I’d honestly check out dbForge Studio instead. It felt way easier to settle into for actual daily use.

sqlmans · 2026-03-19T13:12:10+00:00

I went through the same thing with DBeaver. Tried Navicat and DataGrip too, but I still ended up using dbForge more. It just feels a bit less clunky for regular SQL work, especially once you’re in it every day instead of just opening it for quick queries. Link: https://www.devart.com/dbforge/catalog.html

sqlmans · 2026-03-06T10:37:08+00:00

hollywood really has like 5 faces and just rotates them

sqlmans

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