2026-02-27
614 reads
2026-02-27
614 reads
2026-02-13
873 reads
In the last article, we examined fuzzy string matching in SQL Server 2025 with a few new functions. We know comparing strings has always been hard when we don't have great data quality. If we need exact matches, SQL Server works great. However, we often expect users to enter values without typos and know what […]
2026-01-23
1,842 reads
Comparing strings has always been hard when we don't have great data quality. If we need exact matches, SQL Server works great. However, we often expect users to enter values without typos and know what values they want to find. Or at least know part of the string. However, matching with wildcards or partial strings […]
2026-01-28 (first published: 2026-01-16)
2,682 reads
Learn about the new string similarity functions in Azure SQL Database.
2025-03-28
6,928 reads
An optimized Damerau-Levenshtein Distance (DLD) algorithm for "fuzzy" string matching in Transact-SQL 2000-2008
2014-01-10 (first published: 2012-09-18)
31,121 reads
Roll Your Own Fuzzy Match / Grouping (Jaro Winkler) - T-SQL
2009-06-10
44,888 reads
By Steve Jones
on tenderhooks – adj. feeling the primal satisfaction of being needed by someone, which...
By DataOnWheels
I have been active in the data community throughout my career. I have met...
By Vinay Thakur
Quick Summary for Microsoft SQL Server till 2025, I am fortunate to be part...
hi, in an ssis for each loop over an object variable called MyListVariable, i...
SQL Server is typically viewed as a transactional or analytical database engine. However, it...
Hello, Is there a way in Azure SQL Database to change the 'Blocking Process...
On SQL Server 2025, when I run this, what is returned?
SELECT EDIT_DISTANCE_SIMILARITY('SQL Server', 'MySQL') See possible answers