Secure your Sponsorship package before the rates go up. PASS Data Community Summit 2023 is where the database community meets every year to make life-long connections with peers, network with industry leaders, and advance their careers. With over 170 technical sessions, and a great line-up of sponsors, this is your time to secure your space before August 30 and get a preferred booth location.
2023-08-09
The most common method on the internet for combining DATE and TIME columns in SQL Server is incorrect. This article demonstrates why that and other methods are incorrect and two lesser known high performance methods that produce correct results even for the "edge cases".
2023-08-07
23,949 reads
Are you looking to modernize and migrate your data but have questions about the complex organizational challenges? We recently hosted the webinar: Overcoming Organizational Challenges in Data Modernization and Cloud Migration: A Guide for Senior IT Leaders. This blog post summarizes the conversation into 7 key points.
2023-08-07
This article employs Power Query features to combine queries and implement requirements in different listed scenarios.
2023-08-07
Learn how you can use AutomatedLab to quickly create new environments.
2023-08-04
2,839 reads
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.
2023-08-04
330 reads
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.
2023-08-04
Learn how to get started with a Microsoft Fabric pipeline.
2023-08-02
4,436 reads
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.
2023-08-02
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.
2023-08-02
In last months one of the scenarios where you can use AI has been...
By ChrisJenkins
Do you spend so long manipulating your data into something vaguely useful that you...
By Steve Jones
It was neat to stumble on this in the book, a piece by me,...
Comments posted to this topic are about the item Creating JSON II
Comments posted to this topic are about the item Engineer Lessons
On SQL Server 2025, what happens when I run this code:
SELECT JSON_OBJECTAGG( N'City':N'Denver' RETURNING JSON) GOSee possible answers