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.

When it comes to implementing a big data strategy in a Microsoft SQL Server shop, you're generally going to consider three approaches, one of which is a cloud implementation. SQL Server 2012, and even ...

SQL Server Drill Down explores all aspects of Microsoft SQL Server and related applications, ... According to the SolarWinds Query Report 2021, nearly one-third of data pros sur­veyed manage more than ...

SQL Server 2022 has more Intelligent Query Processing features to speed up existing workloads and database applications with what Khan calls “minimal implementation effort.” ...

However, SQL Server 2016 also fully supports the rowset-to-JSON query scenario when you write a regular T-SQL query and then map results to JSON objects via the FOR JSON clause. For more information ...

SQL has dominated data querying for decades. Newer query languages offer more elegance, simplicity, and flexibility for modern use cases. For the last three decades, databases and Structured Query ...

The map data used in conjunction with Microsoft SQL Server 2008 provides the opportunity for businesses to incorporate location intelligence into decision making processes, enabling the widespread ...

Native SQL queries that return an object array. Native SQL queries that map records to JPA entities. Hibernate and SQL together. Hibernate and JPA can execute any valid SQL statement. By default, the ...

In Azure SQL Database you can also set a HISTORY_RETENTION_PERIOD (and should be able to do it in SQL Server 2017) to control how far back in time your history will extend. Converting Existing Table ...

SQL, which stands for Structured Query Language, was developed for communicating with databases. An injection attack occurs when malicious users “inject” unauthorized code into a program. A SQL ...