Dynamically Create Warehouse Dimensions
Here's a data warehouse design pattern to speed up multi-value dimension creation.
2017-11-13
1,287 reads
Here's a data warehouse design pattern to speed up multi-value dimension creation.
2017-11-13
1,287 reads
Here's a shot in the dark:USE NORTHWIND SELECT CustomerID , COUNT(*) No_of_Orders , DATEDIFF(d,MIN(OrderDate), MAX(OrderDate)) TimeSpan , COUNT(*)*1.0 / DATEDIFF(d,MIN(OrderDate), MAX(OrderDate)) DailyOrder FROM Orders WHERE CustomerID = 'ERNSH' AND (OrderDate >='19960717' AND OrderDate <='19960723') GROUP BY CustomerIDBtw, since this is an exercise given to you, don't you think you should find the solution yourself?
2005-02-24
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Comments posted to this topic are about the item 7 sept, scheduled book
Comments posted to this topic are about the item 7 sept, schedlued article
Comments posted to this topic are about the item 6 sept, published book
Azure Data Lake Storage Gen 2 is built on ...?
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