The Ebb and Flow of AI
Everybody’s coasting and looking back. Let’s kick our heels up, get comfortable, and talk big picture industry stuff.
2025-01-17
Articles
Five changes to SQL Server I’d love to see
I’ve had lots of wish lists over the years, from Ladybug to Connect to UserVoice, and very few of my dreams ever come true. Still, it’s fun every once in a while, to be whimsical about the way I wished SQL Server worked. Especially in January because, you know, new beginnings.
2025-01-15
Partitioning Data in Microsoft Fabric to Improve Performance for Lakehouses, Warehouses, and Pipelines
Learn how to implement data partitioning within Microsoft Fabric to improve performance for Lakehouses, Warehouses, and Pipelines.
2025-01-13
Comparing Groups for Similarities in Power Query – Using Cosine Similarity
Recently, my skills were put to the test when I needed to compare hundreds of Active Directory and SharePoint Groups to find similarities in their memberships.
2025-01-10
How to Load a Fabric Warehouse: Data Engineering with Fabric
In this next level, learn how you can load data from Amazon S3 in Fabric.
2025-01-08
4,704 reads
SQL Server OPTION RECOMPILE for Simple Queries
Learn about SQL Server OPTION RECOMPILE and if used on simple, frequently executed queries if it causes excessive CPU usage.
2025-01-08
Data Documents and Common Sense
What can be so difficult in creating a sensible standard for Structured Data Documents? To understand why they tend to get improved into unusable complexity, I’ll need to explain a bit of background.
2025-01-06
Leveraging the “STUFF” Function for Enhanced Data Representation and String Manipulation
Learn the basics of the T-SQL STUFF command.
2025-01-03
3,500 reads
Improved RCSI Ghost Cleanup in SQL Server 2022
An example of poor update performance under RCSI as compared with locking read committed. Details of an improvement in SQL Server 2022 that can help avoid the worst effects.
2025-01-03
DAX For SQL Folks: Part I- Intro to DAX, Power BI and Data Viz
In this first article, get an introduction to DAX, it's uses, and the basics of a DAX query as compared to a T-SQL query.
2025-01-01 (first published: 2020-03-26)
25,285 reads
Blogs
T-SQL Tuesday #198–Change Detection
By Steve Jones
This month we have a new host, Meagan Longoria, who graciously agreed to help...
Redgate and Rome
By Steve Jones
I’m at the UK Redgate office today, meeting with senior leaders in all areas...
Quick Tip: Check Most DTU Expensive Queries in Azure SQL Database
Optimizing Azure SQL Database performance often begins with identifying the most resource-intensive queries. Understanding...
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Creating a JSON Document IV
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Restoring Azure Key Vault Keys and Validating SQL Server TDE Recovery: Level 7 of the Stairway to TDE
By VishnuGupthanSQLPowershellDBA
Comments posted to this topic are about the item Restoring Azure Key Vault Keys...
Question of the Day
Creating a JSON Document IV
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 YearEstablished, json_objectagg(city : TeamName) FROM dbo.NFLTeams GROUP BY YearEstablished;See possible answers