Tame Those Strings Part 6 - Bending Results
Continuing with Steve Jones series on string manipulation, this article looks at an interesting facet of the SELECT operator.
Tame Those Strings Part 8 - Quoting
Continuing Steve Jones' series on string manipulation in T-SQL, this article examines how quotations are handled in T-SQL.
Tame Those Strings Part 9 - Dynamic SQL
Steve Jones continues his series on string manipulation. This articles examines the issues of quotes when implementing dynamic SQL.
Expensive CPUs
Adding non-core database features to a system can expand its capabilities, but it can also be an expensive use of your hardware and software licenses.
Level 28: DAX Text Functions: The DAX Extract & Modify Functions: LEFT(), RIGHT(), MID(), REPLACE(), SUBSTITUTE()
Business Intelligence Architect, Data Analyst, CPA, and author Bill Pearson introduces a subseries surrounding the DAX Text Functions, including LEFT(), RIGHT(), MID(), REPLACE(), and SUBSTITUTE() and breaks out the operational groups of functions involved. Next, he introduces the “Extract and Modify” group of text functions as the focus of this Level. Finally, he identifies and examines each functional member of the “Extract and Modify
Tame Those Strings Part 1 - Using SUBSTRING
In this article by Steve Jones, he shows you how to manipulate strings.
Tame Those Strings! Part 10 - Finding Carriage Returns
Expanding on his series of string manipulation in T-SQL, Steve Jones takes a look at how you go about removing those unseen characters from your strings.
Tame Those Strings! Part 2 - Using CHARINDEX
The second part of Steve Jones's series on programming and manipulating strings in T-SQL.
Tame Those Strings! Part 3 - Using REPLACE
The third part of Steve Jones's series on programming and manipulating strings in T-SQL dealing with REPLACE.
Blogs
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I went to sleep while reading a Kindle book on my phone. I know...
Deploying AI in logistics (the unfiltered version)
A conversation with Jan Laš, CIO at HOPI, about what deploying a data agent...
T-SQL Tuesday #198 Invitation: How Do You Detect Data Changes?
It's time for T-SQL Tuesday #198! This month's topic is change detection. The post T-SQL...
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Question of the Day
Creating a JSON Document III
I have this data in a table called dbo.NFLTeams
TeamID TeamName City YearEstablished ------ -------- ---- --------------- 1 Cowboys Dallas 1960 2 Eagles Philadelphia 1933 3 Packers Green Bay 1919 4 Chiefs Kansas City 1960 5 49ers San Francisco 1946 6 Broncos Denver 1960 7 Seahawks Seattle 1976 8 Patriots New England 1960If I run this code, how many rows are returned?
SELECT TOP 2
json_objectagg('Team' : TeamName)
FROM dbo.NFLTeams;
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