This post is one of a series that introduces the fundamentals of NOSQL databases, and their role in Big Data Analytics. What is an object-oriented Database? An object oriented database manages objects ...

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 ...

db4o, as you’ve likely sussed from the previous paragraph, stores its data in a different way to a relational database. Rather than flat tables with repeated primary key and foreign key values ...

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 need to persist data created at runtime is as old as computing. And the need to store object-oriented data cropped up when object-oriented programming became pervasive. Currently, most modern, ...

I urge our readers to have a look at the “Vietnam of Computer Science” by Ted Neward, which compares the quagmire of the Vietnam War to the current quagmire that results from our attempts to blend ...

Here's how you can use SQL Server's OpenJson function to dismantle JSON structures into relational tables targeting either transactional systems or data warehouses. JSON is great for moving data ...

While relational databases rely on rigid structures, document databases are much more natural to work with and can be used for a variety of use cases across industries. A document database (also known ...

Say what you will about Oracle, it certainly can’t be accused of failing to move with the times. Typically, Oracle comes late to a technology party but arrives dressed to kill. In the early 1990s, ...