The Tabular Model Definition Language (TMDL) provides a simpler way of defining Power BI Semantic Models. Unlike the JSON-based Tabular Model Scripting Language (TMSL), TMDL uses a more accessible tab-based format for specifying DAX measures, relationships, and Power Query code.
Today Steve wonders what you might do with extra time if the AI can give it to you.
Learn how a trace flag affects SQL Server reading from disk and where this might be a useful thing for you to enable.
As a SQL Server DBA, the migration of SQL Server from an existing version to the latest version is a usual activity. In today’s cloud-oriented world, many organizations still prefer an on-prem environment; my organization is one of them. There are multiple reasons to keep your data on-prem, like having more privacy and control of the environment. Currently, our major project is to migrate our existing Microsoft SQL Server 2019 to SQL Server 2022. Recently, we completed the POC. Today, let’s discuss the steps of the SQL Server 2022 installation and migration of our databases.
Downtime causes a lot of problems, not all of which are financial for an organization.
A short look at the MSSQL extension for VS Code, getting started with connections and running queries.
VIEWs are an undervalued and underused feature in SQL. They basically consist of a query that has been given a name, and a parameter list, so can be used like an inline macro. Technically, you’re supposed to think of it as a virtual table.
I have been speaking to people about database migrations to the cloud a lot over the last few weeks. One thing that has jumped out at me is that we seem to focus on the process of moving data being the migration rather than one step in a larger process. Many people neglect the discovery […]
One of the most prolific and popular authors at Simple Talk has been Phil Factor. He wrote many pieces on all aspects of database work and has probably written more articles on the Redgate Product Learning site than anyone else. He has entertained, informed, and inspired many database professionals in his many years as an […]
Multivariate analysis in data science is a type of analysis that tackles multiple input/predictor and output/predicted variables. This tip explores the problem of predicting air pollution measured in particulate matter (PM) concentration based on ambient temperature, humidity, and pressure using a Bayesian Model.
By Steve Jones
It was neat to stumble on this in the book, a piece by me,...
Forgive me for the title. Mentally I’m 12. When I started my current day...
By Steve Jones
One of the things a customer asked recently about Redgate Data Modeler was how...
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In SQL Server 2025, what is returned by this code:
SELECT EDIT_DISTANCE('Steve', 'Stan')
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