Things break and the DBA must be prepared for situations where a failure impacts the availability, integrity, or usability of a database. Reacting to failures and service disruptions is a key ...

Data visualization is a process in data analytics where visual representation communicates the data and insights to facilitate good data-driven decisions. Basically, data visualization is ...

At its heart, data modeling is about understanding how data flows through a system. Just as a map can help us understand a city’s layout, data modeling can help us understand the complexities of a ...

The design of a database determines what method is best suited for backing it up, and those methods vary quite a bit. In order to back up a database, you need to know how it’s delivered, but you also ...

Most any application needs some form of persistence—a way to store the data outside of the application for safekeeping. The most basic way is to write data to the file system, but that can quickly ...

A guide to the 10 most common data modeling mistakes Your email has been sent Data modeling is the process through which we represent information system objects or entities and the connections between ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now The modern business world is driven by data ...

The original intention of surrogate keys across multidimensional database designs was to help optimize joins by keeping all keys, used for joining between facts and dimensions, both numeric and single ...

Artificial intelligence (AI) is one of the fastest-growing enterprise technologies. According to IBM, 42% of firms with more than 1,000 employees now use AI in their business. A further 40% are ...