What are the key properties of Big Data?
There are certain specific attributes that are used for defining big data. In big data, these are commonly known as the 4Vs. The 4Vs comprise of- Volume, Variety, Velocity and Veracity.
What kind of analytics are involved in Big Data?
The analytics involved in big data is often known as the discovery analytics as the user, i.e. business analysts are looking for discovering newer business facts which isn’t known to anyone before. For this, business need large volume of data, that hasn’t been tapped for analytics
What are the main sources of Big Data?
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.
What are the challenges in Big Data?
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
What are the different types of Big Data?
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