Big Data and AI projects have a failure rate higher than 80%. We look at 3 reasons for these project failures.
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.
Big Data and AI might be the next big things in tech. What are the next big things in Big Data and AI?
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.
Big Data Science investigations include first-party, second-party and third-party data sources. We explain how they contribute value to a company.
The four horsemen represent the four levels of problems faced by Big Data-driven enterprises. We look at these problems and ways to solve them.
What are Data Science techniques, methods, tools and languages? We answer what Data Scientists do and which methods, tools, techniques and languages they use.
Big Data and Data Science are often mentioned together. Alternatively, it is even referred to Big Data Science directly. Here, we briefly describe where the approaches profit most from the other.
Big Data analytics are a set of concepts and characteristics of processing, storing and analyzing data […]
Procuring my very own shell was similar to uncovering, and appreciating, the value of Big Data Analysis; this shell origins from an ocean of artifacts, and the value of Big Data ocean is an ocean of data. Data scientists’ casts their own lift nets, just like these fishermen with their large nets....