In every business or organization, Data is fundamental to its decisions. A company's ability to gather the right data, interpret it, and act on those insights is often what will decide its level of success
Stream processing technology allows users to query continuous data streams and detect conditions quickly and effectively.
Three countries in East Asia have come a long way in improving public transport. We look at how they used Big Data to do so.
In this article, we will discuss what Complex Event Processing is and how it is used in Big Data stream processing for any applications related to Big Data.
Water is the most important resource yet it is scarce. Thus, it's important for Big Data to manage this precious resource more efficiently.
In this article, we discuss how Random Forest differs from Active Learning Random Forests, its comparison and how they can be used for Big Data analysis.
There's an increasing need for student-centric education. We look at how Big Data meets this need.
Big Data Science investigations include first-party, second-party and third-party data sources. We explain how they contribute value to a company.