A relational database is a set of formally described tables from which data can be accessed or reassembled in many different ways without having to reorganize the database tables. The standard user ...

Excel used to be the poor schmuck’s database, with spreadsheets that just sort of sat there. You could create something more sophisticated with LOOKUP functions, but they were a huge hassle to set up.

Relational databases, once the epitome of data management technology, are becoming increasingly archaic as single servers lack the nuance to support the large quantities of data generated by modern ...

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 ...

In Part 2, I discuss how EJB 3.0 entity beans leverage POJO and annotations to greatly simplify your data model and its persistence-to-backend relational databases. Before we get into the details of ...

Databases are used in many different settings, for different purposes. For example, libraries use databases to keep track of which books are available and which are out on loan. Schools may use ...

Microsoft Access is a powerful database management system (DBMS) designed to help you efficiently store, organize, and analyze data. Whether you’re managing a small business, tracking personal ...

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, ...