One of the things I’ve tried hard to do in database development situations if ensure I could easily refresh dev and test environments on demand. In a small startup,...
2026-03-13 (first published: 2026-03-11)
13 reads
In the realm of software development and content creation, the deployment pipeline serves as a crucial bridge between innovation and implementation. Whether you are fine-tuning code, testing new features,...
2026-03-11 (first published: 2026-03-03)
245 reads
Quite the title, so let me set the stage first. You have an Azure Data Factory instance (or Azure Synapse Pipelines) and you have a couple of linked services...
2026-03-11 (first published: 2026-03-03)
294 reads
A while ago I blogged about a use case where a pipeline fails during debugging with a BadRequest error, even though it validates successfully. If you’re wondering, this is...
2026-03-09 (first published: 2026-03-06)
54 reads
Continuing from Day 3 where we covered LLM models open/closed and their parameters, Today on Day 4 I would like to write about the Transformer architecture — the foundation...
2026-03-09 (first published: 2026-03-04)
11 reads
Continuing from Day 6 we learned Embeddings, Semantic Search and Checks, on Day 7 we would learn about Vectors and Vector Databases. this is a place where AI data...
2026-03-09 (first published: 2026-03-07)
25 reads