In this series of tips we will look at different ways using temporary data in SQL Server along with examples. In this first part we will cover some reasons for doing this and different types of temporary data stores.
Steve Jones talks about careers, and where you might take your career over time.
Data imports represent some of the more commonly performed database management tasks. Learn about a number of traditional SQL Server data import techniques that you can leverage when importing data into Azure SQL Database.
After installing Microsoft Teams, Steve has a bit of communication overload.
Got a favorite story of unusual, unique, or inspired attempts at data privacy. We'd love to hear them on DBAle's data privacy contest. Share your story for the chance to win a box of beer and the glory of getting your name on DBAle
In the previous article of this series, Andy Brown of Wise Owl Training explained how to use the oh-so-important CALCULATE function in DAX to make changes to the default filter context within a formula. This article shows how you can use the FILTER function to do something similar and explains the differences between the two approaches.
With exciting products like SQL Clone making their debut, the DBA will need to think through the approach to implementing such powerful tools. Done properly, these tools will provide a massive benefit to both the DBA and developer.
SQL Server is releasing a new version of the engine every 12-24 months at this point. That puts pressure on all of us to learn constantly about the changes. Even if we don't look to upgrade all of our existing instances, we can't buy older versions when the new one is released. Often many of […]
Learn the basics of data flow in SSIS with the data pump in this second installment of our series designed to teach you about Integration Services.
PlanTrace: Stop Reading Redshift EXPLAIN Plans. Start Seeing Them Introducing PlanTrace — a free, browser-based...
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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