OpenClaw- Agentic Engineering
This week has training on AI – Cyber security experts – Omar Santos and Aamir Lakhani- with great knowledge . during the session learned about OpenClaw and more. I...
2026-04-29 (first published: 2026-04-17)
324 reads
Vinay Thakur
SQL Server Security: Always Encryption
As discussed introduction of Always Encryption blog and initial Encryption at rest as TDE which is introduced on SQL Server 2008, TDE is at rest has limitation as data...
2026-04-13 (first published: 2026-04-04)
235 reads
SQL Server Security – TDE Encryption
Transparent Data Encryption(TDE): TDE was initially introduced in SQL Server 2008 Enterprise Edition; this feature encrypts a physical layer of Database files Data/log files protection at Disk / storage...
2026-04-04 (first published: 2026-04-03)
30 reads
SQL Server Journey Part 2: Modern Era (2017 – 2026) – AI/Cloud First
Following up on my Part 1 baseline, the journey from 2017 onward changed how we look at the “Engine.” We moved from Service Packs to a faster world of...
2026-03-28 (first published: 2026-03-27)
22 reads
SQL Server Journey (Part 1)- Enterprise Database 2016
Continued thinking about my Journey blog where we have to look back at the revolutionary of SQL Server till SQL Server 2025. I would like to brief more on...
2026-03-27 (first published: 2026-03-26)
14 reads
AI: Blog a Day – Day 10: LangChain – Building AI Applications
Continuing from Day 9 where we covered HuggingFace — today on Day 10 we would talk about LangChain and LlamaIndex. these are two very popular frameworks that make building...
2026-03-10
3 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
4 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)
20 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)
336 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)
197 reads
Blogs
T-SQL Tuesday #198 Invitation: How Do You Detect Data Changes?
It's time for T-SQL Tuesday #198! This month's topic is change detection. The post T-SQL...
Understanding Fabric MCP
By James Serra
Model Context Protocol, or MCP, is one of those technical ideas that sounds more...
AWS RDS Aurora - our first approach
When starting with AWS RDS Aurora for managing relational databases in the cloud, many...
Forums
Ini tata cara mudah menutup - menonaktifkan kartu kredit UOB
Untuk menonaktifkan dan menutup kartu kredit Bank UOB, Anda dapat menghubungi UOBCall melalui WhatsApp...
SQL Password enforcing
Hi to all We have situation at a client where someone is illegally changing...
SQL Password enforcing
Hi to all We have situation at a client where someone is illegally changing...
Question of the Day
Creating a JSON Document III
I have this data in a table called dbo.NFLTeams
TeamID TeamName City YearEstablished ------ -------- ---- --------------- 1 Cowboys Dallas 1960 2 Eagles Philadelphia 1933 3 Packers Green Bay 1919 4 Chiefs Kansas City 1960 5 49ers San Francisco 1946 6 Broncos Denver 1960 7 Seahawks Seattle 1976 8 Patriots New England 1960If I run this code, how many rows are returned?
SELECT TOP 2
json_objectagg('Team' : TeamName)
FROM dbo.NFLTeams;
See possible answers