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 ...

Since that time, SQL has become the dominant language for relational database systems. In recent years, frameworks and architectures have arrived on the programming scene that attempt to hide (or ...

NoSQL entered the scene nearly six years ago as an alternative to traditional relational databases. The offerings from the major relational vendors couldn’t cut it in terms of the cost, scalability, ...

Every day, businesses depend on data to operate. Customer orders, quotes for new business, conversations around products, campaigns for marketing—pretty much every business process today is based on ...

Introduce the concepts about relational models. Train students on how to convert a conceptual entity relationship model to a relational model. Introduce students with the reasons and process of ...

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 ...

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 development of database technology is one of the defining achievements of the information technology era. It not only has been the key to dramatically improved record-keeping and business process ...

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, ...

In “ The end of SQL databases – part 1,” I covered some background of the SQL language and relational databases, the current status and future for relational databases, the rise of frameworks that ...