Hadoop is a distributed computing platform. It is written in Java. It consists of the features like Google File System and MapReduce.
Hadoop is an open-source framework designed for the distributed storage and processing of large sets of data using a cluster of commodity hardware. It provides a scalable and fault-tolerant solution for handling big data. The core components of Hadoop include:
- Hadoop Distributed File System (HDFS): A distributed file system that stores data across multiple nodes in a Hadoop cluster. It breaks large files into smaller blocks and replicates them across the cluster for fault tolerance.
- MapReduce: A programming model and processing engine for distributed computing of large datasets. It divides the processing task into smaller tasks, processes them in parallel, and then combines the results.
Hadoop is particularly useful for processing and analyzing large-scale data that cannot be efficiently handled by traditional databases or single-node computing systems. It is widely used in industries such as finance, healthcare, telecommunications, and more, for tasks like data warehousing, log processing, and complex analytics.