My post earlier this year on enabling query folding when using SQL queries as a data source in Power Query provoked a lot of interest. This post adds one more useful detail: how to preserve the ...

Learn how to use SQL queries to perform simple and quick data prediction tasks, such as calculating averages, trends, growth rates, or seasonality. Discover tips and best practices for writing ...

Analyze database contents using basic, intermediate and advanced SQL statement syntax and usage. Demonstrate capability to query data from multiple tables using SQL JOINS. Create and modify database ...

[!INCLUDE SQL Server] When you create a query, you are retrieving data from a table or other objects structured like tables - views and certain user-defined functions. To work with any of these ...

Navigate to the sql-query-export or data-warehouse-sql-queries folders to browse the available queries. If you're unsure what a query does based on its title, simply click on the title to see the full ...

The ease and ubiquity of SQL have even led the creators of many “ NoSQL ” or non-relational data stores, such as Hadoop, to adopt subsets of SQL or come up with their own SQL-like query languages.

A few months ago a new option was added to the Sql.Database and Sql.Databases functions in Power Query in Power BI and Excel which allows Power Query queries that combine data from different SQL ...

SQL Server 2022 introduces CE feedback, which, based on the data collected in the query store, learns which CE model assumptions are valid over time for your queries.