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.
Does hyper-personalisation mean personalisation getting hyper from caffeine? We take a very brief look at what it is and why it's necessary.
Online learning is an approach used in Machine Learning that ingests sample of real-time data one observation at a time.
Time Series Forecasting algorithms play a role in determining trends, forecasting, and sales. This makes time series analysis crucial for any organization.
There are several opportunities for Big Data in the gaming industry. In this article, we're looking at the most important use cases for Big Data in gaming.
Controlling Covid-19 can help a country recover from the Coronavirus and avoid a second wave. Such control can be calculated. We present a Data Science based country ranking.
Concept drifts in Time Series Data are crucial for analysis and machine learning. We discuss concept drifts and their implications for machine learning.
What are Data Science techniques, methods, tools and languages? We answer what Data Scientists do and which methods, tools, techniques and languages they use.