SQL stands for ‘Structured Query Language’. This is basically a declarative language used for storing and retrieving data in a database. If you’ve heard of SQL, it’s probably in the context of MySQL, ...

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 ...

Structured data stored in relational databases has ruled the world for the last 40 years. Over that time, Structured Query Language (SQL) emerged as the standard for accessing and manipulating data ...

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 ...

Databases are used in many different settings, for different purposes. For example, libraries use databases to keep track of which books are available and which are out on loan. Schools may use ...

A relational database is a set of formally described tables from which data can be accessed or reassembled in many different ways without having to reorganize the database tables. The standard user ...

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 ...

Database normalization is the cornerstone of database theory. Once a database is normalized, relationships between the data in multiple tables must be established. A hefty part of designing a ...

Compare ISAM databases to relational databases. File-based databases have been around since the dawn of computing. We’ve always needed to have a way of storing records of the same kind of information.