How does Hadoop handle Big Data?
Hadoop is an open source framework that allows the storage as well as processing of the big data in a distributed environment, that is spread across the computer clusters by the use of simple models of programming languages. It is designed in such a way that it can be scaled
What are the advantages of Big Data?
The major advantages of big data for any business includes- better decision making, increased productivity, cost reductions, improved customer services, detection of frauds, increased revenues, increased agility and greater innovation base.
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.