Using Power Query to Combine Data from Multiple Sheets in Excel
This article employs Power Query features to combine queries and implement requirements in different listed scenarios.
Small Changes, Big Results
Last week I was able to attend THAT conference in Wisconsin Dells, Wisconsin. It was my first time in the great state of cheese, and the conference lived up to its reputation. As a developer focused conference (rather than a database conference), I didn't have much expectation that my session about automating database changes would […]
AutomatedLab - A Quickstart for Deploying SQL Server Labs on Windows
Learn how you can use AutomatedLab to quickly create new environments.
Flexible Work Policies are Preferred
New research says that companies with flexible work policies, hybrid or remote, find they are able to hire staff more quickly.
Modifying MySQL data from within Python
In the previous article in this series, I introduced you to how to access MySQL data from within a Python script. The article described how to use the MySQL Connector to establish a connection with a database and then retrieve data through that connection. In this article, I continue the discussion by demonstrating how to insert, update, and delete data in a MySQL database, again working with Python and the MySQL Connector.
How to List First or Last n% Records Using NTILE() in SQL Server
Sometimes, we need to find the first or last n% records from a dataset based on a particular column. For instance, a teacher wants to know which students are in the bottom 25% based on marks. Hence, in such situations, the SQL NTILE() function helps. We will leverage this tip to get first or last n% records using NTILE() in SQL Server.
Constitutional AI
There is a company trying to build AI systems in a new way. Steve isn't sure what this means or if it's a good idea. Read his thoughts today.
Create Your First Pipeline in Microsoft Fabric
Learn how to get started with a Microsoft Fabric pipeline.
Modifying MySQL data from within Python
In the previous article in this series, I introduced you to how to access MySQL data from within a Python script. The article described how to use the MySQL Connector to establish a connection with a database and then retrieve data through that connection. In this article, I continue the discussion by demonstrating how to insert, update, and delete data in a MySQL database, again working with Python and the MySQL Connector.
PASS Data Community Summit 2023
Check out the full details for this year's Pre-Cons and Learning Pathways, and find out why some of our speakers are particularly excited for what’s in store this year. If you’re not already on the mailing list, sign up now and be the first to know all Summit 2023 updates.
Blogs
Fabric Mirroring doesn’t start copying Rows
A short blog post about an issue with Fabric Mirroring (with Azure SQL DB...
JSON_OBJECTAGG is an Aggregate: #SQLNewBlogger
By Steve Jones
I wrote an article recently on the JSON_OBJECTAGG function, but neglected to include an...
Cultural Change: Fostering a Cost-Aware Culture in Your Organisation
By HeyMo0sh
After working deep in cloud operations, I’ve learned that FinOps isn’t really about dashboards...
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Designing Database Changes Before Deployment: Level 1 of the Stairway to Reliable Database Deployments
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Question of the Day
Creating a JSON Document I
I want to create a JSON document that contains data from this table:
TeamID TeamName City YearEstablished 1 Cowboys Dallas 1960 2 Eagles Philadelphia 1933If I run this code, what is returned?
SELECT json_objectagg('Team' : TeamName)
FROM dbo.NFLTeams;
See possible answers