Thus, SQL drove the adoption of relational databases to near ubiquity. However, we’ve started to hit the limitations of what relational systems can do. Data no longer follows a uniform structure.

Relational SQL databases, which have been around since the 1980s, historically ran on mainframes or single servers—that’s all we had.If you wanted the database to handle more data and run ...

For technical clarification, databases come in two flavors: relational and non-relational. Relational (SQL) databases store data in tables with strictly-defined relationships between tables.

SQL is a relatively innocent bystander, but, because SQL is a universal feature of the RDBMS, the term “NoSQL” seemed a catchy and convenient tag for these new breed of databases. And, it’s true that, ...

Global information services provider Clarivate, which owns data and analytics resource ProQuest as well as other library and education brands including Ex Libris and the Web of Science, announced ...

In SQL, people can ask questions about data using keywords, such as by summing, filtering, or grouping database records. However, querying a model can provide deeper insights, since models can ...

The ViewEvents database. Since the SQL Server was on a server other than my View Connection server, I had to enable networking for the database. To do this, I went to the SQL Server Configuration ...