Introduction Period-over-period is an analysis technique in business that measures some value in the present and compares it to the same measurement in a comparable period of time in the past. The goal is to adjust the slice of the past you are viewing, so the same amount of time has passed in the two […]
Many organizations have known the fact that data have been evolved from the by-product of corporate applications into a strategic asset [1]. Like other corporate assets, the asset requires specialized skills to maintain and analyze. With modern data analytic tools, for example Python, R, SAS and SPSS, IT professionals can build models and uncover previous unknown knowledge from the ocean of data.
Database table constraints such as foreign keys and default values ensure reliability of the data. In this article, Phil Factor demonstrates a way to find any data that breaks the build so it can be corrected before deployment.
As JSON documents becomes increasingly widely used, as the interface between application and database, Phil Factor reckons it's about time JSON Schema was built-in to SQL Server, alongside XML Schema.
In my project I see that people writes different things with EXISTS logical operator (EXISTS (SELECT StarOrOne FROM...)). They are "*", "1" and even "TOP 1 1" or "TOP 1 *". The aim of this article to give a good explanation which option is the best.
Splunk is a search engine for collecting and analyzing all sorts of "machine data", including log data and metrics for SQL Server. SQL Monitor gives you the detailed diagnostic view of all your SQL Server instances, and databases. If you have Splunk to monitor your applications and server infrastructure, and SQL Monitor to help you understand the behavior of a complex database system such as SQL Server, then you have a powerful and capable monitoring tool set.
In this tip we look at a way to minimize the length of blocking using SQL Server lock timeout.
In this article, we see how SQL can be used to determine matches between two groups, given a set of preferences.
By Steve Jones
We’re coming back to New York, which is exciting for me. I love NYC....
I previously wrote about how the underlying technology for Fabric mirroring changed with SQL...
By Steve Jones
At the recent Redgate Summit in Chicago, I demo’d (lightly) the ML based Alert...
Comments posted to this topic are about the item Seeding a Fabric Warehouse with...
Comments posted to this topic are about the item Seeding a Fabric Warehouse with...
Comments posted to this topic are about the item Doing the Little Things
If I want to track historical data values, which mechanism should I use?
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