This uses a simple program model that allows distributed processing of large data sets along with a number of computers. There are a number of features that distinguish this from others. The flexibility of Hadoop is one of its notable features. It can handle both the structured as well as the unstructured data. Earlier it was very hard to handle the unstructured data. Scalability is the second main factor of this. Here nodes can be added without affecting the existing feature of the program. Nothing in the program will be changed even if we add volume. It has a very high capacity to survive any faults. In this, there are three locations to store any data. One is the main one and the other two are the ones in which data is replicated. So even if the data is lost from the main one due to some problem, it will be available in the other two. The speed with which data is processed is very high in the case of Hadoop. It has many cost-effective features. The properties that are available at this cost are more than expected. The design of Hadoop is a user-friendly one. Users can access it very easily without needing any outside help. Contact essay writing services for more details.