Faster Data Engineering with Python Notebooks: The Fabric Modern Data Platform
In this next article on the Fabric Modern Data Platform, we use the Polars library in Python to improve our data engineering.
In this next article on the Fabric Modern Data Platform, we use the Polars library in Python to improve our data engineering.
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Many of us aspire to be senior level professionals at some point in our careers, but what separates us from others? Steve has a few thoughts today.
Random number generation is vital in computer science, supporting fields like optimization, simulation, robotics, and gaming. The quality, speed, and sometimes security of the generator can directly affect an algorithm’s correctness, performance, and competitiveness. In Python, random number generation is well-supported and widely used. In this article, we will look how to we can use SQL to do this.
In this article, I wanted to discuss the PowerShell (PoSh) pipeline, which was confusing to me at first and took some time to get used to working with. I had used one in Linux before, but the PoSh one is more powerful, but also slightly different. Hopefully I can demystify some of the concepts for […]
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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