Intelligence from Data
This week Steve Jones looks at the idea of using AI and machine learning with your data to develop amazing new insight.
This week Steve Jones looks at the idea of using AI and machine learning with your data to develop amazing new insight.
The ALL, SOME and ANY predicates aren't much used in SQL Server, but they are there. You can use the Exists() predicate instead but the logic is more contorted and difficult to read at a glance. Set-oriented predicates can greatly simplify the answering of many real-life business questions, so it is worth getting familiar with them. Joe Celko explains.
Steve Jones gave a keynote, and has a little fun this week with the topic of his talk.
Although SQL Server for Linux removes the concern that adopting SQL Server forces you to also adopt the Windows platform, it could also provide a useful alternative platform, and a more obvious alternative to Oracle. There are, however, several obvious concerns as to how such a product could ever achieve parity with the existing Windows-based product. Microsoft have made an interesting move with several ramifications, as Robert Sheldon explains.
There are times when you want some users to see part of a column value but not the whole thing, but you want other users to see the complete column value without any masking. The new SQL Server 2016 Dynamic Data Masking feature will allow you to define these different kinds of masking rules - Greg Larson explains.
Monitoring your systems is critical to ensuring security and stability. Steve Jones shares a few thoughts on where monitoring might go with more computer assistance in the future.
DBCC CHECKDB is a built-in SQL Server command that allows you to check database integrity and consistency in one simple command, but running it on large databases can be a nightmare. In this article, Ahmad Yaseen explains how you can enhance the command to run faster in SQL Server 2016.
Microsoft has dramatically changed the way they develop software, in a very public way, as Steve Jones notes.
In this tip, we will talk about PowerShell and SQL Server Log and Data Files.
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I have this data in the dbo.Commission table in a SQL Server 2022 database.
salesperson commission Brian 12 Brian 16 Andy 7 Andy 14 Andy 21 Steve 20 Steve NULLAll the data is a varchar, and I decide to run this query to get the totals for each salesperson.
SELECT SalesPerson
, AVG(TRY_PARSE(Commission AS int)) AS TotalCommission
FROM commission
GROUP BY SalesPerson
GO
What average commission is calculated for Steve? See possible answers