You can use a web framework to display SQL data on a web page, write simple SQL queries yourself to link a website to a database or use a data visualization tool to generate charts and graphs ...

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 ...

Remember when SQL developers felt threatened by Big Data? Relational database management systems were old-school relics that couldn't cope with the vast amounts of unstructured, disparate data. NoSQL ...

Production data, such as production runs, recipes, shifts, products, schedules, etc., are typically stored in relational SQL databases. Process data, however, is typically stored in a time-series ...

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 ...

For technical clarification, databases come in two flavors: relational and non-relational. Relational (SQL) databases store data in tables with strictly-defined relationships between tables.

Even with all the hype around NoSQL, traditional relational databases still make sense for enterprise applications. Here are four reasons why.

SQL databases have constraints on data types and consistency. NoSQL does away with them for the sake of speed, flexibility, and scale.

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 ...

Data visualization tools support real-time data, AI integration, collaboration, and interactive exploration to visually represent data.