What are the main components in Hadoop Eco-System and what are their functions ?

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What are the main components in Hadoop Eco-System and what are their functions ?..

Answer / Rakesh Kumar Rajak

The main components of the Hadoop ecosystem and their functions include:

1. HDFS (Hadoop Distributed File System) - a distributed file system that provides high-throughput access to application data.
2. MapReduce - a programming model and software framework for processing large datasets in parallel across a cluster of computers using a simple programming model.
3. YARN (Yet Another Resource Negotiator) - a resource management layer in Hadoop that decouples the resource management from the data processing, allowing other frameworks like Apache Spark and Apache Flink to run on top of Hadoop.
4. HBase - a NoSQL database built on top of Hadoop for handling large volumes of structured data.
5. Pig - a high-level data flow language and platform for analyzing large datasets that builds upon HDFS for storage and MapReduce for execution.
6. Hive - a data warehouse infrastructure built on top of Hadoop, providing a SQL-like interface to query data stored in various databases and file systems, including HDFS.

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