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 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