Empowering Lakehouse Users – Data Engineering with Fabric
Learn how to use the OneLake Explorer and Data Wrangler extension in VS Code to empower users to work with data in Microsoft Fabric.
2024-05-22
1,610 reads
Learn how to use the OneLake Explorer and Data Wrangler extension in VS Code to empower users to work with data in Microsoft Fabric.
2024-05-22
1,610 reads
This next article in the series creates objects at the gold layer for consumption by combining tables from the silver layer of the lake house.
2024-05-15
2,590 reads
This article explains metadata driven pipelines and shows an example in Microsoft Fabric.
2024-05-01
3,416 reads
Learn how to perform full and incremental loads in Fabric with a little SparkSQL.
2024-04-17
5,169 reads
In this article, learn how you can manage files and folders for both full and incremental loading situations.
2024-03-27
3,129 reads
Learn how to get started with Microsoft Fabric along with the differences between managed and unmanaged tables.
2024-03-20
3,659 reads
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What is returned from this query?
SELECT ( SELECT COUNT (*) FROM Sales.SalesOrderHeader AS soh WHERE soh.OrderDate >= '01/01/2011' AND soh.OrderDate < '01/01/2012') AS OrdersIn2011 , ( SELECT COUNT (*) FROM Sales.SalesOrderHeader AS soh WHERE soh.OrderDate >= '01/01/2012' AND soh.OrderDate < '01/01/2013') AS OrdersIn2012 , ( SELECT COUNT (*) FROM Sales.SalesOrderHeader AS soh WHERE soh.OrderDate >= '01/01/2013' AND soh.OrderDate < '01/01/2014') AS OrdersIn2013;See possible answers