SQL Server Problems We Don’t Have Anymore
There are a whole slew of problems that we had to worry about ten years ago, and they just hardly ever come up today.
2020-08-28
Articles
Date Tables are Great for Users, but Not So Great for Performance
If you haven’t used a date table before, here are a couple of primers on how to create one and use it.
2020-08-27
SQL Server Interview Questions for Developers on Querying
In this article we look at some simple ways to test a SQL Server developers T-SQL skills with some query questions and answers.
2020-08-26
Configuring Availability Groups in Ubuntu
In this article, we will review how to configure Always On Availability Groups in Ubuntu Server using the Pacemaker cluster. The following are the high-level steps to configure Always On Availability Groups (AOAG) with an Ubuntu server. Install SQL Server on Ubuntu 16.04 Install Pacemaker agents and configure the cluster Create Always On Availability Groups Create […]
2020-08-25
3,604 reads
Redgate Streamed Returns
Our virtual community event is back with a global feel. Featuring speakers including Donovan Brown, Abel Wang, Kendra Little & Damian Brady, we have a full day of live content & networking opportunities, spanning world-wide time zones. So, wherever you are in the world, join us live on Wednesday August 26.
2020-08-25
Subset in R including List, Data Frame, Matrix and Vector
In this article we will examine the R Language subsetting operators, types of subsetting and differences in behavior for different R objects like vectors, lists, and data frames.
2020-08-25
An Introduction to Azure Synapse Analytics Workspace
Introduction The Azure Synapse workspace is in preview mode as of July 2020. The workspace brings together enterprise data warehousing and big data analytics. This workspace has the best of the SQL technologies used in enterprise data warehousing, Spark technologies used in big data analytics, and pipelines to orchestrate activities and data movement. Here, I […]
2020-08-24
12,796 reads
Clarifying Data Warehouse Design with Historical Dimensions
The standard data warehouse design from Kimball with facts and dimensions has been around for almost 25 years. In this article, Vince Iacoboni describes another way to design slowly changing dimensions.
2020-08-24
Deployment Suite for Oracle: What’s New? Git Integration in Redgate Change Control v3.0
In Redgate Change Control v3.0, you can now commit your database changes to your local Git repository and collaborate with your team by pushing and pulling changes from the remote Git repository. If you’re using branches, you can also create and switch Git branches from within Redgate Change Control.
2020-08-24
Native SQL Backups for Amazon RDS Databases
Use native SQL Server backups with Amazon RDS databases to easily import and export data between local server and the AWS cloud.
2020-08-21 (first published: 2018-12-13)
4,222 reads
Blogs
Identity Columns Can’t Be Updated: #SQLNewBlogger
By Steve Jones
I’m not sure I knew identity column values could not be updated. I ran...
Rolling Back a Broken Release
By Steve Jones
We had an interesting discussion about deployments in databases and how you go forward...
A bespoke reporting solution doesn’t have to cost the earth
By ChrisJenkins
You could be tolerating limited reporting because there isn’t an off the shelf solution...
Forums
Can someone please explain what happens?
I have mentioned this several times over several years. Can someone please help me...
SELECT COUNT(DISTINCT) returns null when nothing is found instead of 0
SELECT COUNT(DISTINCT Component) AS Found FROM tblComponents WHERE(Component NOT LIKE '%[a-z]%') AND(LTRIM(RTRIM(Component)) = 'GM13622')...
Remotely Engineer Fabric Lakehouse objects: The Fabric Modern Data Platform
Comments posted to this topic are about the item Remotely Engineer Fabric Lakehouse objects:...
Question of the Day
Creating JSON III
In a SQL Server 2025 table, called Beer, I have this data:
BeerIDBeerName 1Becks 2Fat Tire 3Mac n Jacks 4Alaskan Amber 8KirinI run this code:
SELECT JSON_OBJECTAGG(
BeerID: BeerName )
FROM beer;
What are the results? See possible answers