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There are three major origin or sources of big data. These include- the Internet with social media, traditional business operations and ever rising the Internet of Things. The data from these sources can be either semi-structured or unstructured or at times a combination of the two.

Handling of big data is a very complex task. Some of the challenges that are faced in big data during the integration phase could include the uncertainty in data management, getting the normal data into a big data structure, synchronisation of various data sources, extracting useful information from the big... Read More

There are 5 different types of big data. These include- Dark Data, Lost Data, New Data, Fast Data and Big Data. 1)Dark Data: The information the user has but can’t be easily accessed 2)Lost Data: The information generated from any manufacturing equipment or any other commodity found inside the commercial... Read More

The features of big data can be encapsulated as the 4Vs. These 4Vs include Volume: The quantity of data that is being generated and stored Variety: It refers to the type and nature of data Velocity: It refers to the speed of data at which it is generated and processed... Read More

The 4Vs of Big data include- volume, variety, veracity and velocity

Any business can reap benefits from the big data in 5 ways. These include- cost savings, timely reductions, development of newer products, understanding of the market conditions and controlling the online reputation of the business

Big Data analytics help the organizations to harness their data and use this data for identifying newer opportunities. This results in smarter business moves, efficient operations, higher profit volumes and most importantly the happy and satisfied customers.