Since that time, SQL has become the dominant language for relational database systems. In recent years, frameworks and architectures have arrived on the programming scene that attempt to hide (or ...

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 faster, you ...

I’m at the Cloud Connect 2010 conference in Santa Clara, Calif., one of the first major gatherings of the year on cloud computing. One of the larger topics that has come up thus far is not using ...

Data estates are expansive. Organizations in all business verticals are operating data stacks that run on a mixture of legacy technologies that work effectively but aren’t always easy to move or ...

Relational database management systems (RDBMS) rely on an optimizer (or relational optimizer) that transforms SQL statements into executable code. Before any SQL statement can be run by the RDBMS, the ...

If you want to know what’s what in Big Data analytics today, you’ve got to know the basics of NoSQL databases, and how appropriate NoSQL databases facilitate Big Data analytics. What are the most ...

Inside a relational database management system, the princi­pal persisted data structure is considered a logical relation. Operations performed against that data within the RDBMS result in a logical ...

Join Aleks Volochnev from the DataStax Developers Team and learn why more and more traditional and cloud native applications are using the power of NoSQL Databases. In about 60 minutes, you’ll learn ...

AWS today announced a new database product that is clearly meant to go after Microsoft’s SQL Server and make it easier — and cheaper — for SQL Server users to migrate to the AWS cloud. The new service ...