In this article, Pat Wright explains how to identify hidden risks in legacy applications before moving to the cloud. It features practical advice and guidance to avoid migration failures and surprises.
2026-04-01
Learn about the new JSON_OBJECTAGG function in SQL Server 2025.
2026-03-30
2,698 reads
Companies generate a huge amount of data on a daily basis from such things as sales transactions, inventory changes, and customer interactions. This data originates from different data sources and is stored in operational databases called OLTP (Online Transaction Processing) systems that primary focuses on transactions like data inserts, updates or deletes. Maintaining the transactional data in an OLTP database is important. However, if you need to analyze or report on the data, storing the data in a centralized repository in well-structured schema is necessary.
2026-03-30
2026-03-27 (first published: 2018-12-18)
9,639 reads
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, […]
2026-03-27
1,749 reads
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?
2026-03-27
In this next installment, we look at using dbt to seed a Fabric Warehouse.
2026-03-25
3,118 reads
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?
2026-03-25
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 […]
2026-03-23
8,610 reads
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.
2026-03-23
By Steve Jones
This month we have a new host, Meagan Longoria, who graciously agreed to help...
By Steve Jones
I’m at the UK Redgate office today, meeting with senior leaders in all areas...
Optimizing Azure SQL Database performance often begins with identifying the most resource-intensive queries. Understanding...
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In the new VECTOR_DISTANCE() function in SQL Server 2025, the first parameter is the distance_metric. What is this?
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