T-SQL Tuesday #192: What career risks have you taken?
This T-SQL Tuesday is hosted by the one and only James Serra – literally my go-to guy for data lakes and BI architecture. I am so tickled to be...
2026-03-10
50 reads
T-SQL Tuesday #196: Taking Risks
This month we have a new host, James Serra. I’ve been trying to find new hosts over the last few years to keep this party going and to expand...
2026-03-10
23 reads
The First Steps: Understanding the Basics of FinOps
As a DevOps professional, I’ve seen firsthand how cloud costs can quickly spiral out of control without the right practices in place. That’s where FinOps comes in—it’s a powerful...
2026-03-09
32 reads
AI: Blog a Day – Day 9: HuggingFace – The Home of AI Models
today on Day 9 I would like to talk about HuggingFace. if you are learning AI practically, HuggingFace is one of the most important platforms you will come across....
2026-03-09
27 reads
Semantic Model Power Query vs Dataflow Gen2 in Fabric
In my recent blog post, Building Power BI Reports: Desktop vs Fabric, I talked about the evolving authoring experience in Microsoft Fabric and how report development is increasingly moving...
2026-03-09
77 reads
Monday Monitor Tips: AI Query Analysis
AI is everywhere. It’s in the news, it’s being added to every product, management wants everyone to be more productive with AI. Redgate Monitor isn’t immune from this wave....
2026-03-09
36 reads
Bind Variables – Worse than you were told
Many of you probably know Martin Bach. He’s a colleague here at Oracle although we’ve both been good mates in the Oracle community long before either of us joined...
2026-03-09
48 reads
AI: Blog a Day – Day 8: RAG – Retrieval Augmented Generation
RAG — Retrieval Augmented Generation. we have covered so far — embeddings, vectors, vector databases — all comes together here! What is RAG? all the AI model has predefined...
2026-03-09 (first published: 2026-03-08)
36 reads
AI: Blog a Day – Day 7: Vector and Vector Databases
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...
2026-03-23 (first published: 2026-03-07)
372 reads
AI: Blog a Day – Day 6: Embeddings – How AI Understands
Continuing from Day 5 where we covered notebooks, HuggingFace and fine tuning AI now Day 6 is inside of AI , how AI understand us, as computer do not...
2026-03-27 (first published: 2026-03-06)
212 reads
Blogs
Prep data for AI vs. Fabric Data Agent Instructions: What Goes Where?
By James Serra
Making Data AI-Ready, Part 3 (This is the final article in a three-part series...
Keeping Track of my ConEmu CLIs
By Steve Jones
I use ConEmu for my terminal interface. I’m still on Windows 10 at home,...
10 Decisions to Make Before You Create A Fabric Workspace
Creating a Fabric workspace takes about 30 seconds. Restructuring workspaces after people have built...
Forums
A design question in a parent child relationship
I am not sure which is the best way to proceed. I have parent...
Hyperscale Replicas III
Comments posted to this topic are about the item Hyperscale Replicas III
Development Is Fun
Comments posted to this topic are about the item Development Is Fun
Question of the Day
Hyperscale Replicas III
In an Azure SQL Database Hyperscale Edition, how many named replicas can be configured?
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