Big data relates to a massive amount of data that can be unstructured, semi-structured and structured. It can extract data for information used in advanced analytics applications and machine learning projects.
Big data generally described by 3vs concept :
Volume : Previously, collecting data would have been a tough task- but the innovation of new technologies has eased the burden. Nowadays, many organizations collect data from various sources, including social media platforms, business transactions via sensors or machine to machine data.
Velocity : Velocity refers to the speed with wich data generated. Consider an example of social media insights, 500 Million tweets are posted on Twitter every day, 9OO Million photos uploaded on Facebook daily. Big data helps the company to collect the data from the flow of data, and at the same time, frame processes the data so that it doesn’t slow down the process.
Variety : Variety in Big Date Includes Structured, Semi-structured and unstructured data that has the probability of getting generated either by machines or human. For example, ECG reading, Handwritten text, tweets, Emails, etc.
Variety in Big Data can also be defined as the ability to arrange incoming data from various categories.
