Data Science Sanity Checks
Phil Factor on three "sanity checks" that any data scientist must perform in order to prevent businesses from interpreting data analysis errors, or fraudulent activity, as real trends.
Phil Factor on three "sanity checks" that any data scientist must perform in order to prevent businesses from interpreting data analysis errors, or fraudulent activity, as real trends.
Identify orphaned Database Users and differentiate them from "Loginless" Database Users.
It is easy to get database monitoring wrong. There are several common-sense rules that can make all the difference between a monitoring system that works for you and helps to avoid database problems, and one that just creates a distraction. Adam Machanic spells out the rules, based on his considerable experience with database monitoring.
This article will show you the importance of Indexed Views and how they can help performance.
A picture can express a thousand words. That's a phrase that many of us understand well, and one we embrace when we try to present large amounts of data in reports and dashboards. This week Steve Jones asks you what visualizations you use.
This SQL Monitor custom metric tells you if a specific SQL Server Agent job that runs at the same time every day has overrun. The metric is useful when a job can have negative effects on other processes if it overruns.
I have heard about parameterization for SQL Server queries, but what is Forced and Simple Parameterization and which one should I use for my SQL Server database?
After a recent trip, Steve Jones noted a problem somewhere with the way airlines are handling passenger data.
We’re putting together a free eBook of 50 tips for Azure Storage, if you’ve got tips that you’d like to share we’d love to hear from you.
By Steve Jones
It’s Prime Day. A few of my recommendations, since I want to do some...
With Fabric Mirroring, Microsoft is promoting a nice and appealing story for operational reporting...
If you’ve been watching AI roll through the data community and thinking, “this seems...
Comments posted to this topic are about the item SQL Art, Part 4: Happy...
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I have this code on SQL Server 2022. What happens when it runs all at once?
DROP TABLE IF EXISTS dbo.Commission GO CREATE TABLE dbo.Commission (id INT NOT NULL IDENTITY(1,1) CONSTRAINT CommissionPK PRIMARY KEY , salesperson VARCHAR(20) , commission VARCHAR(20) ) GO INSERT dbo.Commission ( salesperson, commission) VALUES ( 'Brian', 12 ), ( 'Brian', 'None' ) GOSee possible answers