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 ...

In this issue's column I'll be providing a fundamental introduction to database and database management concepts. Many of you may think that they understand the basic concepts and fundamentals of ...

This online data science specialization is ideal for learners interested in database design, database software fundamentals, and how to use Structured Query Language (SQL) to work with databases. You ...

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 ...

In “The end of SQL and relational databases? (part 1 of 3)” I covered some background on the SQL language and relational databases, the current and future for relational databases, the rise of ...

Relational databases (SQL) have been used for decades by nearly every type of business around the world. The technology is reliable, based on stable standards, and has been mature for more than 20 ...

Everyone knows what a simple database is: Telephone directories, mail-order catalogs and dictionaries are all databases of sorts. Databases can be structured or organized in several different ways: as ...

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 ...

In the worlds of Big Data, NoSQL and relational databases, Splice Machine's name doesn't come up that often. But a closer look at the company's product, architectural approach and CEO put them on my ...

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. In the PC world, we ended up with very popular ...