An Introduction to Flowlets in Azure Data Factory
Learn how you can re-use parts of your pipeline in Azure Data Factory. Save off some tasks as a flowlet for use in multiple pipelines.
Learn how you can re-use parts of your pipeline in Azure Data Factory. Save off some tasks as a flowlet for use in multiple pipelines.
This tutorial is intended for users who are experienced with Transact-SQL, but are new to the hierarchyid data type.
It’s been a goal for several years to write (or help write) a book on a topic I love. While I can’t share details yet, there’s some movement on this dream and I’m excited about it. And I’m even more excited that I get to do it alongside someone that I’ve respected for a long […]
Learn how you can query JSON data from a CLI to check it before importing the data into a database.
Your challenge for this week is to tune a query. Say Stack Overflow has a dashboard that shows the top-ranking users in their most popular location. It’s even got an index to support it
Microsoft will be featured at SQL Bits with a keynote speaker, a full day of training and a few other sessions. Register today for the conference in March and we hope to see you there.
In this next level of the Stairway to Biml, learn how metadata makes your Biml code more efficient and helpful in generating packages.
Git is a good tool for DBAs and other Operations staff. Today Steve gives you a few reasons why.
Microsoft Power BI Desktop provides users with multiple ways to help shape and transform their data. One of the options users have is scientific calculations, which support operations like cube, square, logarithms, etc. Power BI has this option in the Power Query Editor mode, where the user can easily apply one of these transformations for any number-based columns. In this tip, we will overview this utility in Power BI and how to benefit from it.
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Comments posted to this topic are about the item Creating a JSON Document IV
By VishnuGupthanSQLPowershellDBA
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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 YearEstablished, json_objectagg(city : TeamName) FROM dbo.NFLTeams GROUP BY YearEstablished;See possible answers