Key Points Discrete data is categorical data, rather than continuous measurements. It can be treated as continuous data, but that depends on the measurements set. It allows you to quantify things like ...

Unfortunately, they are only part of a robust event streaming architecture. Getting the data out of these systems and delivering it to data-hungry applications is problematic. Although Kafka, for ...

Here, we look at the importance of real-time data to any organization and explore different use-cases and examples that illustrate my real-time data matters more than ever.

According to Tracey L. Weissgerber, Natasa M. Milic, Stacey J. Winham, and Vesna D. Garovic, proper representation of small data sets and sample sizes allows accurate interpretation. Doing so, they ...