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 ...

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.

There's a very handy new tool from Microsoft called the Database Experimentation Assistant (DEA). The DEA makes it very easy to conduct A/B testing for SQL Server upgrades, providing quantitative ...

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 ...

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 ...

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 ...

A conventional database like Microsoft SQL Server, MySQL, PostgreSQL, or Oracle Database uses a schema—a formal definition of how data inserted into the database will be composed.

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 ...

Serverless database developer Fauna Inc. today released a query language inspired by TypeScript along with new web and local development capabilities and a declarative database schema.. The ...