Hadoop

Definition of Hadoop

Hadoop: Hadoop is a software framework that supports the processing of large data sets in a distributed computing environment. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage.

What is a Hadoop used for?

Hadoop is an open-source software framework used for distributed storage and processing of large datasets across clusters of computers. It is designed to scale up from a single server to thousands of machines, each offering local computation and storage. Hadoop uses the MapReduce algorithm and the Hadoop Distributed File System (HDFS) to process data across multiple computing nodes in parallel, allowing it to manage large datasets quickly and efficiently. With its distributed computing capabilities, Hadoop can be used for performing complex analytics tasks such as machine learning and data mining. The framework also provides fault tolerance by replicating blocks of data over multiple nodes in the system, ensuring that if any node fails, its workload can be taken over by another node without compromising the overall operation of the system. Additionally, Hadoop allows for scalability due to its ability to easily add more nodes into a cluster without significantly impacting performance. This makes it an ideal choice for businesses with rapidly growing datasets or those looking for faster results from their analytics processes.