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What is Big Data?

Big data refers to the gathering of knowledge that's growing rapidly with time. This data is so complex that none of the normal data management tools can process it efficiently. There are three characteristics of massive Data – variety, velocity, and volume. Variety refers to the info (unstructured, structured & semi-structured) that's collected from various sources. Velocity is that the rate or pace at which the info is made in real-time & volume is that the amount of knowledge that's generated from different sources.

Big Data is mainly categorized into three forms –
  • Unstructured - the data that has no specific form.
  • Structured – the data that can be stored and processed in a fixed format.
  • Semi-structured – the data that has both forms, i.e., structured and unstructured.

Big Data Analytics

The utilization of analytic techniques to look at large sets of knowledge is understood as Big Data analytics. to research data, three sorts of analytics are used – descriptive, predictive and prescriptive. It helps in revealing various sorts of information like market trends, hidden patterns, etc. Organizations use this data to form future decisions that help in growing their business.

Big Data in Industries


Big Data has truly transformed the healthcare sector because it helps in identifying diseases and treating various illnesses. Also, various analytic techniques help in creating algorithms that predict disease/infection in people of various age groups before their symptoms occur.


A huge role is played by data in modernizing the processes of the manufacturing industry. the world is experiencing a dynamic change with an increased level of automation.

Retail & wholesale

The online & offline buying pattern of consumers is evolving rapidly. Retailers are using data-first strategies to know the changing demands of consumers and use it to capture more online customers..

Banking & finance

The use of Big Data has gone beyond expectations in the banking & finance sector. For instance, it helps various types of financial institutions in detecting fraudulent transactions and prevent them.


Educational institutions are using a large amount of data generated in the sector to find out better teaching ways. Big Data is also helping in transforming the way education is imparted.


Hotels and other leisure operators are utilizing the power of data to find more ways on how to increase the number of happy customers. Analytics is most commonly used in this industry to improve management.

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