Good Luck is Needed with Old Versions
Today, Grant talks about reasons that companies don't upgrade.
SQL Logic
In this article, I will discuss the history and thinking behind several types of logic that are typically associated with writing relational database code.
Stairway to Advanced T-SQL Level 5: Turning Data On Its Side Using PIVOT Operator
The PIVOT operator was added to the Transact-SQL language in SQL Server 2005. It allows you to turn your row data on its side, so it can be presented as column data. This is useful when you want take unique column values and have them displayed as column headings, where the column headings are associated with summarized values displayed below each column heading. In this article I will be exploring how to use the PIVOT operator.
Toilets and Your Systems
Today, Grant Fritchey compares a disaster caused by a toilet to technical debt in IT.
Does Your GROUP BY Order Matter?
Sometimes when you do GROUP BY, the order of the columns does matter. For example, these two SELECT queries produce different results:
Seagull Management
Management is important to ensuring the success of a team. Steve talks about an anti-pattern that is often used by poor managers.
Unlocking Power with Updatable Views in SQL Server
An updatable view in SQL Server is a view that allows modifications such as INSERT, UPDATE, or DELETE operations on the underlying tables through the view.
Kubernetes For Complete Beginners
Container orchestration has become a cornerstone of modern application deployment. For beginners stepping into the world of modern application deployment and orchestration, understanding the essence and significance of Kubernetes is essential.
Do you listen to music when you work?
I want to make this a participation topic. When you are working, do you listen to music or do you need quiet? And if it isn’t music, do you do something else? TV, movies? For me, it is almost always music. As I write my first Database Weekly newsletter editorial in a few months, I […]
Identifying Customer Buying Pattern in Power BI - Part 1
In this article, we discuss market-based analysis techniques for customer purchasing patterns for different products over the years in Power BI.
Blogs
Data Engineering Books Worth Having on Your Shelf (or your tablet)
Good documentation gets you started. Good books get you deep. After years of working...
SSMS Evaluation – future ready
By Vinay Thakur
In previous posts, we looked at the SQL Server engine. for us DBAs, the...
Claude.ai vs Claude API
By Arun Sirpal
You have used Claude. But which Claude? The Claude app (claude.ai, the desktop and...
Forums
Creating a JSON Document IV
Comments posted to this topic are about the item Creating a JSON Document IV
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...
Permissions Removal When Changing Object Schema
When the schema of an object is changed, SQL Server wipes out the previous...
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