SQL Server Database Activity Based on Transaction Log Backup Size
In this tip we look at some scripts you can use to monitor your database activity and usage based on the size of the SQL Server transaction log backups.
A Self-Tuning Fill Factor Technique for SQL Server – Part 2
Introduction Fill Factor is a parameter most of us have ignored because there is no definitive way to calculate what the correct value should be. Part 1 of this series describes a new technique to dynamically determine index fill factors for all indexes within a database. Part 2 covers an analysis of the data collection […]
Should Salary Information Be Confidential?
Today we have a guest editorial from Andy Warren as Steve is away from the office. Salary is a difficult topic for many, but Andy shares some thoughts.
Fast and Reliable Development with Redgate Solutions for SQL Server
Thursday August 29 18.00-19.00 BST / 10.00-11.00 Pacific - Register for this Microsoft hosted webinar to learn how Redgate tools for SQL Server help deliver software quickly.
Graphical Tools for Accessing Azure Cosmos DB
While the most common methods of interacting with Azure Cosmos DB involve programmatic access, there are times when you might want to perform a quick change or take a peek at some of documents in a collection. In such instances, it is typically more convenient to rely on the graphical interface. Fortunately, there are several options you can use to accomplish.
Azure Stretch Database, Part I: Getting Going
With most innovative new technologies, Azure Stretch Database demos make it look completely easy. Here is a step by step to get going, with examples. Part One of a Two-Part series.
Growing and Changing
It can be hard to let go of old knowledge and try something new, but we need to find a balance.
4 Pillars of SQL Server Monitoring
Five SQL Server experts have brought their collective years of experience working with and maintaining SQL Server data systems to identify the four strategies required for a successful estate-wide SQL Server monitoring solution.
Cracking DAX – the EARLIER and RANKX Functions
So far in this series, Andy Brown of Wise Owl Training has shed light on functions like CALCULATE, VALUES and FILTER, but it’s only when you understand the idiosyncrasies of the EARLIER function that you can claim to have genuinely cracked DAX. This article gives four examples of the use of this peculiar function, in the process explaining why it has such a misleading name. Using the EARLIER function properly all boils down (as is so often the case with DAX) to understanding row and filter context. The article also shows how to use the RANKX function to sort data into your required order.
SQL Tamagotchi! Mini-Servers as Database Pets
If you've ever stuffed SQL Server onto a Raspberry Pi 4 and given it a pet name, don't worry, you're not alone…
Blogs
A Cloud Dependency Failure from Amazon
By Steve Jones
I went to sleep while reading a Kindle book on my phone. I know...
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...
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