Using PostgreSQL as a NoSQL Store and a Search Engine
Introduction We mostly get inclined to use/introduce MongoDB for JSON storing/processing in our database system and Elasticsearch for searching operations in JSON data. However, what we often tend to overlook is that in reality, PostgreSQL can actually act as both NoSQL store and a powerful search engine too. It also comes with ACID guarantees, transactions, […]
What’s New in SSIS 2025?
There’s a new version of SQL Server released and we’re mainly an on-premises SQL Server shop. We’ve been using Integration Services (SSIS) for years now for all our ETL and data integration needs. With Microsoft’s focus on cloud (Azure and Fabric), does it make sense to upgrade our SSIS packages? Are there any new features?
Doing the Little Things
There are a lot of tasks that DBAs and developers struggle to get done. These little things can be important, and perhaps AI can help us keep on top of them.
Seeding a Fabric Warehouse with dbt for Visual Studio Code: The Fabric Modern Data Platform
In this next installment, we look at using dbt to seed a Fabric Warehouse.
What are database keys? A practical guide
There’s not much to database keys, right? When you build a new table, you add a column to act as the primary key, then set it to auto-generate. Done. That’s all there is to know…right?
Everything is the right question away
When working with an AI LLM, you have so much knowledge at your fingertips.
Vectors in SQL Server 2025
Introduction SQL Server 2025 introduced new features, including vectors. The main purpose of vectors is to create a new semantic search with the help of AI. Modern AI models represent text as vectors (embeddings) that capture semantic meaning. Similar meanings produce vectors that are close to each other in this vector space, allowing AI systems to […]
SQL Server Concurrency Issues with Parallel Query Plans
Parallelism can reduce concurrency. This is a strong reason not to allow SQL Server to execute queries aggressively in parallel mode. In this tip, I will set up a demo to show that parallelism reduces query performance on a server with high concurrency.
Blogs
A Cloud Dependency Failure from Amazon
By Steve Jones
I went to sleep while reading a Kindle book on my phone. I know...
Deploying AI in logistics (the unfiltered version)
A conversation with Jan Laš, CIO at HOPI, about what deploying a data agent...
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...
Forums
SPAM Issues May 2026
We suffered a SPAM attack from May 1-6, which unfortunately corresponded with time off...
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