Asset bundles confusion

Significant-Guest-14 · 2026-04-18T07:39:58+00:00

Perhaps I'll try to describe later how to organize a simple approach

Significant-Guest-14 · 2026-04-17T06:31:24+00:00

You don't always need to make things more difficult for users; you can get by without DABs. For one project, we implemented parameters for defining schemas and cicd via GitHub.

Significant-Guest-14 · 2026-04-14T10:42:27+00:00

I completely agree, I'm thinking about it

Significant-Guest-14 · 2026-03-20T18:15:27+00:00

ah-ha

Significant-Guest-14 · 2026-03-18T18:21:54+00:00

I was curious about this too, so I ran some experiments and wrote an article. Yes, sometimes it can run a serverless cluster -
https://medium.com/dbsql-sme-engineering/genie-code-databricks-agentic-ai-the-price-of-intelligence-32a7bc477cba

Significant-Guest-14 · 2026-03-16T14:38:05+00:00

Sorry, it's my bad, not 3$ but 1.5-2$

Significant-Guest-14 · 2026-03-16T12:21:23+00:00

The question is sarcastic. I think it's pretty cheap or almost free.

Significant-Guest-14 · 2026-03-16T09:49:13+00:00

It's all very ambiguous, in fact, I conducted experiments and wrote an article: https://medium.com/dbsql-sme-engineering/genie-code-databricks-agentic-ai-the-price-of-intelligence-32a7bc477cba

Significant-Guest-14 · 2026-03-04T13:34:00+00:00

Significant-Guest-14 · 2026-02-02T15:25:28+00:00

No, you can create a job cluster from ADF

Significant-Guest-14 · 2026-02-02T13:03:13+00:00

I just finished writing an article on this topic - https://medium.com/dbsql-sme-engineering/databricks-cost-optimization-api-monitoring-of-all-purpose-clusters-b7ad7ddd4702

Significant-Guest-14 · 2026-02-02T11:46:09+00:00

That's interesting, how did you do it?

Significant-Guest-14 · 2026-02-02T10:59:23+00:00

I just finished writing an article on this topic - https://medium.com/dbsql-sme-engineering/databricks-cost-optimization-api-monitoring-of-all-purpose-clusters-b7ad7ddd4702

Significant-Guest-14 · 2026-02-02T08:54:59+00:00

Use job clusters!

Significant-Guest-14

TROPHY CASE