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.
The third part of Steve Jones's series on programming and manipulating strings in T-SQL dealing with REPLACE.
This is another part in my series designed to offer guidance around common issues in SQL Server. Today, let’s talk about the all-too-common error: invalid length.
The fourth part of Steve Jones's series on programming and manipulating strings in T-SQL dealing with numeric conversions.
The fifth part of Steve Jones's series on programming and manipulating strings in T-SQL dealing with STUFF.
Need to proper case names? Want a quick way to reformat a series of words? This article examines a SQL approach to quickly proper casing all words in a field.
This article shows how you can deploy SQL Server Developer Edition in an AWS Kubernetes configuration.
This seems like the appropriate first BrentOzar.com blog post in the year 2026, eh?
I'm very humbled and honored to be able to type this next sentence. My friend, Buck Woody, sometimes gives me book recommendations. Except, with Buck, you have to understand, it's not really a recommendation. It's an assignment. There'll be a test later. You had best have studied. Failing, well, let's not discuss that, it's too […]
This article shows a technique for cleaning out older data from PostgreSQL tables using Python to follow a set of rules you create.
PlanTrace: Stop Reading Redshift EXPLAIN Plans. Start Seeing Them Introducing PlanTrace — a free, browser-based...
By Steve Jones
I went to sleep while reading a Kindle book on my phone. I know...
A conversation with Jan Laš, CIO at HOPI, about what deploying a data agent...
Telp/wa 085169998765 Bank Bca Kcu Purwakarta, Jl. Jendral Sudirman No.85, Nagri Tengah, Kec. Purwakarta,...
Telp/wa 085169998803 Bank Bca Kcu Purwakarta, Jl. Jendral Sudirman No.85, Nagri Tengah, Kec. Purwakarta,...
Jl. Daan Mogot No.KM. 11, Wisma SSK, Kecamatan Cengkareng, Kota Jakarta Barat, Daerah Khusus...
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;
See possible answers