Database Deployment with Terraform - Modules
Deploy resources in Azure using reusable code with Terraform modules.
2022-10-10
11,627 reads
Articles
Rethinking SQL Explicit Transactions
This article looks at a simple example of using explicit transactions when modifying data in SQL Server tables.
2022-10-10
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.
2022-10-07
3,468 reads
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.
2022-10-07
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?
2022-10-07
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.
2022-10-05
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.
2022-10-05
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.
2022-10-03
14,346 reads
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.
2022-10-03
Join the EAP: Next-gen database cloning
Redgate’s database cloning technology is getting an upgrade: Multi-RDBMS, instance-level clones, and support for containerized workflows. Automate DevOps test data for fast quality releases across your software organization. Learn more and gain first access by joining the early access program!
2022-10-03
Blogs
Learning from Mistakes: T-SQL Tuesday #194
By Steve Jones
We’re a week late, once again my fault. I was still coming out of...
Stupid Things I Did With AI: ASCII Art
By Steve Jones
I ran across this article recently (https://www.gatesnotes.com/meet-bill/source-code/reader/microsoft-original-source-code) and it has a great opening piece...
Simple Talks Podcasting in 2026
By Steve Jones
I’m in the UK today, having arrived this morning in London. Hopefully, by this...
Forums
Learning From Breakage
Comments posted to this topic are about the item Learning From Breakage
Python in Action to Auto-Generate an Optimized PostgreSQL Index Strategy
Comments posted to this topic are about the item Python in Action to Auto-Generate...
Adding and Dropping Columns I
Comments posted to this topic are about the item Adding and Dropping Columns I
Question of the Day
Adding and Dropping Columns I
I have this table in my SQL Server 2022 database:
CREATE TABLE [dbo].[CityList] ( [CityNameID] [int] NOT NULL IDENTITY(1, 1), [CityName] [varchar] (30) COLLATE SQL_Latin1_General_CP1_CI_AS NULL ) ON [PRIMARY] GOI decide to add two new columns for the StateProvince and Country. What code should I use? See possible answers