Data analysis is a fundamental process in any project. However, data can be lumped into different types, with categorical and continuous data seeming almost opposed at first glance. That said ...

In contrast — continuous data shows any value from a given range. Understanding the numerical data and the difference between discrete and continuous data might pose a challenge initially.

Continuous SQL should be familiar to anyone who has used SQL with an RDBMS, but it does have some important differences. In an RDBMS, SQL is interpreted and validated, an execution plan is created, a ...

Continuous intelligence is all about frictionless analytical cycle time for high-frequency insights from all data.

Distinguishing between discrete vs. continuous data and situations that call for each data type is important in ensuring you get your desired results.

Can an open source-based workflow leveraging version control and continuous integration and deployment help streamline machine learning, like it did for software development?

Continuous intelligence is becoming accepted as the preferred way to deal with never-ending streams of big data because the "store then analyze" approach is expensive in storage, bandwidth and ...

Broadly speaking, continuous data protection, or CDP, refers to the ability to back up desktop and server data in real time to disk on a regular basis, essentially eliminating the need for daily ...