What is hadoop and its architecture?

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Accepted Answer

Hadoop is a distributed processing framework used for storing and processing large datasets across clusters of computers.

Hadoop is designed to handle big data by distributing the workload across multiple machines.
It consists of two main components: Hadoop Distributed File System (HDFS) and MapReduce.
HDFS is a distributed file system that stores data across multiple nodes in a cluster.
MapReduce is a programming model used for processing and analyzing the data stored in HDFS.
Hadoop provides fault tolerance, scalability, and high availability for big data processing.
It allows parallel processing of data by dividing it into smaller chunks and processing them in parallel.
Hadoop ecosystem includes various tools like Hive, Pig, HBase, etc., for different data processing needs.
Example: Hadoop can be used for analyzing large amounts of log data to identify patterns or trends.

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