Slowly Changing Facts
This article describes a design pattern for storing “effective dated" changes to fact tables.
2013-10-18 (first published: 2010-12-22)
20,809 reads
This article describes a design pattern for storing “effective dated" changes to fact tables.
2013-10-18 (first published: 2010-12-22)
20,809 reads
Describes a design pattern for using CDC to power fast and efficient incremental data loads.
2013-06-07 (first published: 2011-01-17)
29,217 reads
This article describes a technique of using FULL JOINs to compare two datasets within a numerical tolerance.
2013-04-23 (first published: 2010-09-27)
30,863 reads
By Steve Jones
It’s time for T-SQL Tuesday again and this is a great prompt to start...
By alevyinroc
T-SQL Tuesday is a monthly blog party hosted by a different community member each...
How I used AI for this postChatGPT to generate images based on info specifically...
Comments posted to this topic are about the item Databricks Genie Spaces for SQL...
Comments posted to this topic are about the item The Costs of Multiple Platforms
Comments posted to this topic are about the item RegEx Functions II
I have this data in a table in a SQL Server 2025 database:
EmailAddressID EmailAddress 7 dylan0@ADVENTURE-WORKS.COM 8 Diane1@ADVENTURE-WORKS.COMIf I run this query, which row(s) are returned?
SELECT top 10 * FROM person.EmailAddress WHERE REGEXP_LIKE(EmailAddress, '^d') AND BusinessEntityID IN (7,8)See possible answers