Excel possesses formidable database powers. Creating a relational database starts with a Master table that links it to subordinates, called (awkwardly) Slave, Child, or Detail tables. Before we dive ...

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.

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 ...

Relational tables often describe more than one type of real world entity. In this tip, Bob Watkins covers some things to think about when designing such tables. In an earlier tip, I showed a way to ...

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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 ...

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 ...

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 ...