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SQL Server Machine Learning Services – Part 6: Merging Data Frames in Python
In the final article in this series, Robert Sheldon demonstrates combining data sources with multiple formats into one Python data frame.
2018-03-15
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2018-03-14
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2018-02-28
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Blogs
Rolling Back a Broken Release
By Steve Jones
We had an interesting discussion about deployments in databases and how you go forward...
A bespoke reporting solution doesn’t have to cost the earth
By ChrisJenkins
You could be tolerating limited reporting because there isn’t an off the shelf solution...
Presenting with Visual Studio Code
A while back I wrote a quick post on setting up key mappings in...
Forums
Remotely Engineer Fabric Lakehouse objects: The Fabric Modern Data Platform
Comments posted to this topic are about the item Remotely Engineer Fabric Lakehouse objects:...
Creating JSON III
Comments posted to this topic are about the item Creating JSON III
Testing is Becoming More Important
Comments posted to this topic are about the item Testing is Becoming More Important
Question of the Day
Creating JSON III
In a SQL Server 2025 table, called Beer, I have this data:
BeerIDBeerName 1Becks 2Fat Tire 3Mac n Jacks 4Alaskan Amber 8KirinI run this code:
SELECT JSON_OBJECTAGG(
BeerID: BeerName )
FROM beer;
What are the results? See possible answers