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.

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 ...

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 ...

In a world that is all about new apps and cloud computing, sometimes the important stuff doesn’t look new or cool. Sometimes key small business tools are just functional, they might have been around a ...

Relational database management systems (RDBMS) rely on an optimizer (or relational optimizer) that transforms SQL statements into executable code. Before any SQL statement can be run by the RDBMS, the ...

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, ...

Database normalization is the cornerstone of database theory. Once a database is normalized, relationships between the data in multiple tables must be established. A hefty part of designing a ...

Compare ISAM databases to relational databases. File-based databases have been around since the dawn of computing. We’ve always needed to have a way of storing records of the same kind of information.

Junk dimensions are often misunderstood and avoided. And they should not be. Junk dimensions offer a strategy to remain true to dimensional intentions and to better focus one's design and sometimes ...