The Covid-19 pandemic has provided examples of how uncertain data can eventually be presented to the public as certainty. How, as data people, should we represent uncertainty in our data?
2020-05-02
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By Steve Jones
I missed blogging yesterday as I was on stage/backstage for quite a bit of...
By Brian Kelley
A common theme in the PASS Summits I've attended is community and that's definitely...
By Chris Yates
I am excited to cover the Microsoft Keynote on Day 2: Redgate Keynote: Simplifying...
Hello T-SQL experts I have a table containing team codes and descriptions. Unfortunately, many...
Hi, In my Always On Availability environment, I am seeing two encrypt_option values as...
I have this data in a SQL Server 2019 database:
Customer table CustomerID CustomerName 1 Steve 2 Andy 3 Brian 4 Allen 5 Devin 6 Sally OrderHeader table OrderID CustomerID OrderDate 1 1 2024-02-01 2 1 2024-03-01 3 3 2024-04-01 4 4 2024-05-01 6 4 2024-05-01 7 3 2024-06-07 8 2 2024-04-07I want a list of all customers and their order counts for a period of time, including zero orders. If I run this query, how many rows are returned?
SELECT c.CustomerName, COUNT(oh.OrderID) FROM dbo.Customer AS c LEFT JOIN dbo.OrderHeader AS oh ON oh.CustomerID = c.CustomerID WHERE oh.Orderdate > '2024/04/01' GROUP BY c.CustomerNameSee possible answers