Big data analytics can be defined as a collection of technologies and processes used to crunch through complex data sets in order to discover market trends, correlations, and hidden data patterns. It enables organizations to make informed business decisions and aids researchers in verifying their scientific models.
Big Data Analytics has become an essential part of any business, be it financial analysis, retail, advertising, or healthcare. The amount of data worldwide has been growing exponentially and is estimated to jump from 33ZB this year to 175ZB in 2025. Not only does this create immense opportunities, but it also raises a huge demand for the infrastructure to run big data analytics on and poses new challenges for data engineers.