Assembling Your Own Toolbox
Building a toolbox of useful scripts and code is important for any technology professional.
Data Masking: Static vs Dynamic
Learn about how static data masking differs from dynamic masking and learn which one might be best for your organization.
Build Conditional Logic - SQL IF, BEGIN, END, ELSE, ELSEIF
Learn how to build conditional logic when writing SQL code using IF, BEGIN, END, ELSE, and ELSEIF logic.
Improving the Quality of Data Governance: Where to Start?
How do we set about improving the quality of data governance within an organization? What are the priorities? Data Governance is generally considered to mean providing clear roles, responsibilities, policies, principles, and organizational structures that can ensure that data is managed well, in a way that benefits the whole organization. Where do you start?
The Value of Seniority
Some people might seem like they are from the future, but their experience is just shining through.
Delivering Cloud Transformation Excellence: Collaboration, Communication and Governance - Part 6
This article covers tips on establishing, enhancing, and empowering collaboration, communication, and governance on Cloud Transformation projects.
Transaction locking and row versioning guide
In any database, mismanagement of transactions often leads to contention and performance problems in systems that have many users. As the number of users that access the data increases, it becomes important to have applications that use transactions efficiently. This guide describes the locking and row versioning mechanisms the SQL Server Database Engine uses to ensure the physical integrity of each transaction and provides information on how applications can control transactions efficiently.
How to work with Python in Azure Data Studio
Learn how to use Python code with Azure Data Studio to work with SQL Server data.
The Growth of IQP
Steve talks about some of the Intelligent Query Processing improvements in SQL Server 2022.
Convert Problematic Data in SQL Server
In this article, we look at various ways to convert problematic data in SQL Server by using TRY_CAST, TRY_CONVERT, and TRY_PARSE.
Blogs
The Agent Era: When “How do I…?” Replaces “Where do I click?”
By Arun Sirpal
After a year away getting to grips with AI and its application across the...
Beware of Generic SQL Server License Keys (What to Use Instead)
By SQLPals
Beware of Generic SQL Server License Keys (What to Use Instead) ...
On Speaking Well
By Brian Kelley
Professor Patrick Winston of MIT used to give a one-hour talk about how to...
Forums
Creating a JSON Document II
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Backing Up Azure Key Vault EKM Key: Stairway to TDE Level 6
By VishnuGupthanSQLPowershellDBA
Comments posted to this topic are about the item Backing Up Azure Key Vault...
Every Database Has Problems
Comments posted to this topic are about the item Every Database Has Problems
Question of the Day
Creating a JSON Document II
I want to create a JSON document that contains data from this table:
TeamID TeamNameCity YearEstablished 1 Cowboys Dallas 1960 2 Eagles Philadelphia 1933 3 Packers Green Bay 1919 4 Chiefs Kansas City 1960If I run this code, what document(s) is/are returned?
SELECT json_objectagg( n.city : n.TeamName) FROM dbo.NFLTeams;See possible answers