How to minimize downtime in a cloud migration
Pat Wright details how to plan cloud migration with minimal downtime. Learn key cutover strategies, testing methods, and critical questions to avoid data loss and system failure.
2026-04-20
Pat Wright details how to plan cloud migration with minimal downtime. Learn key cutover strategies, testing methods, and critical questions to avoid data loss and system failure.
2026-04-20
I’m sure I’m not alone when I say, sometimes I get sidetracked. In this particular instance, I hadn’t intended to start learning about User-Defined Types (UDT) in PostgreSQL – I just wanted to test a behavior that involved creating a UDT. But, once I started reading, I was hooked. I mean, four distinct UDTs with different behaviors? That’s pretty cool. Let’s get into it.
2026-04-17
Ever just need a quick visualization of some numbers to get a rough idea of the trend, like this
2026-04-15
Every SQL Server instance contains a database that most people never query, never back up, and never even see in Object Explorer. Yet, without it, SQL Server would not start. Enter the SQL Server Resource database.
2026-04-13
In software development, DevOps promises faster delivery, increased collaboration, and more reliable deployments. However, many teams unknowingly fall into anti-patterns.
2026-04-10
SQL queries can take a long time to run, especially on large tables if not properly indexed. Full table scans can be costly operations when all a user wants is to fetch a few rows based on multiple columns and a WHERE filter. How can we properly index our tables to support multi-column queries?
2026-04-08
I’ve been a fan of sequences ever since they were added in SQL Server 2012. Prior to that, developers had a choice of IDENTITY columns or a roll-your-own table mechanism.
2026-04-06
This guide explains how IDENTITY columns and SEQUENCE objects differ in SQL Server, and how you might decide which one is appropriate for a given design.
2026-04-03
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
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
Both SQL Server and PostgreSQL are moving fast into AI territory — and if...
By Steve Jones
We keep adding new AI capabilities to Redgate Monitor, where it makes sense. Check...
By ReviewMyDB
A behind-the-scenes look at Day of Data Jacksonville 2026, the transition from SQL Saturday,...
Hallo all! My problem is this: I have quite a bunch of TSQL scripts...
Comments posted to this topic are about the item Would You Retire Rather Than...
Comments posted to this topic are about the item Vector Search in SQL Server...
Does this run successfully on a SQL Server 2022, US English default installation?
DECLARE @YenAmount MONEY; SET @YenAmount = ¥1500; SELECT @YenAmount AS RawValue;See possible answers