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 ...

With this new relational database/table feature, this process is so easy that once it’s set up in Excel, you can extract specific data and create dozens of reports in minutes.

Forecasting is a fundamentally new capability that is missing from the current purview of generative AI. Here's how Kumo is changing that.

Learn the key differences between relational and NoSQL databases with this in-depth comparison. There’s nothing wrong with the traditional relational database management system. In fact, many ...

Most relational databases use the same table format for organizing data. Each row, usually called a record, is divided into columns. A database table can have hundreds or even millions of records.

But with data volumes nearly doubling each year, the relational model is no longer adequate. Tables are not designed for analytics and data stored in tables is not inherently searchable.

Relational optimization has saved countless hours of work and, as long as we use it properly and code our applications with knowledge of what optimization can do, the RDBMS can be used for a wide ...

With new 'data models' and types of database systems purported to be better than relational, it seems that the industry is all too ready to stick a fork in relational. So, is relational technology ...

While relational databases remained strong, the 2000s saw the emergence of XML databases, ... because relational table/column/row/keys structures are themselves a form of graph.

A library database with three linked tables (Authors, Titles and Subjects). A classic example of relational database design, this would be nearly impossible to do in a spreadsheet but was easy to ...