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, ...

A database that is managed by an object-oriented database management system (ODBMS). Object databases are closely aligned with a particular object-oriented programming language and enable the data in ...

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 ...

When XML came along five years ago, promising to rewrite the rules of data management, vendors of relational databases took note, but they didn’t panic. They’d already seen this movie a decade before, ...

In the beginning, there were files. Later there were navigational databases based on structured files. Then there were IMS and CODASYL, and around 40 years ago we had some of the first relational ...

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 ...

Scientists at the Stanford Linear Accelerator Center (SLAC) at Stanford University in Menlo Park, Calif., are studying the smallest things to try to make sense of the biggest. Their careful, ...

Software architects face an important technical problem when they must decide how to best interact with backend database systems. The decision often comes down to the Hibernate vs. JDBC debate, as the ...