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, ...

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 ...

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 ...

SQL Server's OpenJson function will let you dismantle JSON structures into relational tables, including tables with foreign/primary key relationships. As I noted in an earlier column, JSON is great ...

When it comes to providing reliable, flexible, and efficient object persistence for software systems, today's designers and architects are faced with many choices. From the technological perspective, ...

When object-oriented programming languages began to be used in enterprise applications, designers had problems fitting the object-oriented model with the relational model. In the object-oriented model ...

A question asked about data contained in two or more tables in a relational database. The relational query must specify the tables required and what the condition is that links them; for example, ...

Airtable is an online platform for creating, using, and sharing small relational databases. It’s not ready for enterprise users yet (that’s coming), but right now, if you want help managing data for ...

In a new book titled Next Generation Databases: NoSQL, NewSQL, and Big Data, Guy Harrison shares what every data professional needs to know about the future of databases in a world of NoSQL and big ...

The market is abuzz with terms like NoSQL, Big Data, NewSQL, Database Appliance, etc. Often, IT decision makers can get very confused with all the noise. They do not understand why they should ...