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
17,153 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
2,573 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
304 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
4,259 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
I’m hosting a free webinar at MSSQLTips.com at the 19th of December 2024, 6PM...
By Steve Jones
I looked at row_number() in a previous post. Now I want to build on...
Recently I received a cry for help over Teams. The issue was that an...
You can't handle the truth!! (about data integrity) A few good database administrators https://www.helpmasterpro.com/blog/a-few-good-database-administrators/...
I have installed Machine Learning with SQL 2022 Enterprise Edition and installed and configured...
Comments posted to this topic are about the item A Guide to SQL Security...
I have run this on SQL Server 2022 for the Sales database:
ALTER DATABASE Sales SET AUTO_CREATE_STATISTICS ON (INCREMENTAL = ON)I then run this in the Sales database:
USE Sales GO CREATE STATISTICS CustomerStats1 ON dbo.Customer (CustomerKey, EmailAddress) WITH INCREMENTAL = OFFThe dbo.Customer table is partitioned. How are statistics created? See possible answers