mcp_ohmy_sql is an open-source Text-to-SQL system developed for deployment in enterprise production. It is not about specific ...

Dino Esposito explains JSON-to-rowset native support in SQL Server 2016 and provides a realistic perspective of data query when you have JSON data stored in the database.

A new SQL Server 2025 feature lets organizations run vector-based semantic searches on their own data, connecting to local or ...

Spark SQL: Apache’s Spark project is for real-time, in-memory, parallelized processing of Hadoop data. Spark SQL builds on top of it to allow SQL queries to be written against data.

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.

SQL has dominated data querying for decades. Newer query languages offer more elegance, simplicity, and flexibility for modern use cases.

Read this SQL tutorial to learn when to use SELECT, JOIN, subselects and UNION to access multiple tables with a single statement.

For the past fifty years, SQL has helped us understand, manipulate and use our data to our advantage.

The SQL query has to retrieve the data from the specified table, filter it based on a date range, not a specific date, calculate the total number of impressions and clicks for each URL, group the ...

You can use SQL to create, modify, search, and display database information. Dynamic SQL lets you create a query string based off of user input. SQL Server allows you to create dynamic SQL statements.