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

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

SQL, the structured query language, is a programming language for communicating with databases. Variations on SQL are used by some of the most popular database tools in the world, including some ...

In fact, several of the graph database players are of long lineage. Neo4j has vigorously encouraged other companies to use its query language, Cypher, via the openCypher project.

JSON and Entity Framework As a general remark, the JSON support in SQL Server 2016 is primarily exposed through the T-SQL syntax, as tooling is quite limited now. In particular, EF doesn't currently ...

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.

It’s sometimes difficult to know which SQL syntax to use when combining data that spans multiple tables. SQL provides several different statements for performing this type of task; knowing which ...

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

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 ...

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.