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 ...

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 ...

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 ...

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 ...

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 ...

For nearly 30 years, PostgreSQL (a.k.a., Postgres) has arguably been the most common SQL open source database that you have never heard of. Call it the Zelig of databases, its technology either sat ...

The information below serves as a brief primer to help you better understand the database terms you’ll most often encounter. Relational Databases. Relational databases became the database of choice ...

This post is one of a series that introduces the fundamentals of NOSQL databases, and their role in Big Data Analytics. What are wide column stores? Wide column stores are database management systems ...

Cloud metrics firm Datadog now allows monitoring of the cloud-based version of an old IT standby: the Azure SQL relational database. Database technology is changing rapidly, with NoSQL gaining in ...