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

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.

One of the most common problems when running SQL Servers is slow queries. The help desk or database team usually hears that described as the application is slow or the database is slow. In the ...

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.

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

I’ve created a script that monitors a table in a SQL Server database. I’m only interested in one column in the table: TimeStamp. If the maximum (newest) value in TimeStamp is more than 30 ...

Here is a list of common wait types and techniques that every DBA (or wannabe DBA) should know. While there are many more wait types than listed here, understanding these will give you a leg up when ...

SQL Server 2022 customers will see benefits in the areas of data integration, analytics, governance, and high availability thanks to the database’s enhanced connectivity to the Azure cloud, Microsoft ...

By default, SQL Server uses an isolation level of Read Committed, which means a query cannot read data modified by another transaction that has not yet committed, thus preventing dirty reads.