Datetime data in SQL Server can be a little confusing to work with, especially as many front end languages do not combine the date and time into a single datatype. As a result, T-SQL is sometimes used to manipulate and convert datetime data into more useable formats. Author Leo Peysakhovich has written about some tricks that he uses to reformat and work with datetime data.
Will changing to bulk recovery mode before running DBCC REINDEX help you avoid large log files? András investigates
Collaboration between IT and the business will help identify the reasonable issues versus the issues that cannot be resolved for the current release of the data warehouse.
The Sarbanes-Oxley act has become a four letter word to many IT people in the US. Thankfully I only had to deal with it for about 9 months before I left to go work on my own, but it was a long 9 months. Especially since I did half the work with JD Edwards and then did it again with Peoplesoft 🙁
Haidong discusses the importance of monitoring disk usage over a period of time and has some great TSQL code to help you do the monitoring!
The Sarbanes-Oxley act has drastically changed the jobs of many DBAs with the audit and reporting requirements this act entails. Brandie Tarvin brings us some hints about how you can go about complying with the new requirements.
This month's installment of "Developing a Complete SQL Server OLTP Database Project" covers searching encrypted data, dictionary attacks, and look-ups by hashed value.
When reading rating information, how do you you knew how many points each separate voter gave if you only know the average rating and the number of votes? Well, you might be surprised to learn that you can figure it out using SQL
T-SQL is a powerful language, enabling you to handle many different types of set based operations. But having flexible WHERE clauses isn't something that many DBAs deal with on a daily basis. New Author Sotiris Filippidis brings us an article on how you can structure a WHERE clause to handle all types of strange business logic without using dynamic SQL. Read on to learn more about his technique.
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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