Big data analytics

The technology sector has become renowned for its buzzwords, whether it is IoT, Cloud, big data or convergence. What these buzzwords don’t do is explain what exactly it is they are.

An area such as big data analytics is so vast that the buzzword merely over simplifies the area and aids in increasing complexity.

Essentially big data analytics is the process of analysing data sets in order to uncover hidden patterns, correlations, market trends and various other useful pieces of business information.

The term big data is typically applied to data sets whose size or type is beyond the ability of traditional databases to capture, manage, and process the data with low-latency. Big data can come from a variety of different sources such as from sensors, devices, video, networks, log files, transactional applications and from web and social media.

Big data analytics has been around in one form or another for decades and often bleeds into the area of business intelligence (BI), something else that isn’t exactly new.

With some variations, big data analytics is often batch processing and it can also be real-time processing or streaming analytics.
In the end though its primary goal is to help businesses to use their data to become more well informed about their customers, decisions they should be making, improving efficiency and various other use cases.