Think about the promise of what AI is able to accomplish in terms of helping with software production and systems operation. Part of the business appeal of realigning operations with AI has to do with ...

Naresh Miryala is an accomplished engineering leader at Meta with nearly two decades of experience in cloud and data platform engineering. As someone deeply involved in the database space, the rapid ...

A database that maintains a set of separate, related files (tables), but combines data elements from the files for queries and reports when required. The concept was developed in 1970 by Edgar Codd, ...

The heart of any relational database management system is the system catalog that documents the database objects and system settings being used. The system catalog offers a wealth of information about ...

For over two decades, Oracle, IBM, and Microsoft relational databases were the only consistent leaders in the Gartner Magic Quadrant for Operational Database Management Systems--and there were few ...

Relational databases are the cornerstone of many applications today, but users may hit some significant performance limitations imposed by disk-based storage. The most effective mitigation strategy is ...

A relational DBMS organizes and accesses data according to relationships among data items. The relationships among data items are expressed by tables consisting of columns and rows. The order of the ...

Relational databases and the software that access them can be invaluable tools to businesses. Popular relational database management systems include Microsoft SQL Server, Oracle Database, as well as ...

Relational databases have existed for more than 40 years now. They’ve changed little over that period and while they work well, they couldn’t answer the scalability demands of cloud native apps that ...