What are the key components of Hadoop?
Some core components of Hadoop include:
- Hadoop Distributed File System (HDFS) is a distributed file system used for storing data and spreading it across multiple nodes in a cluster.
- YARN (Yet Another Resource Negotiator) is a resource manager responsible for scheduling jobs, allocating resources, and monitoring task execution.
- MapReduce is a programming model used to break down large-scale data processing tasks into smaller tasks and execute them in parallel on a cluster.
- Hadoop Common: Includes some general tools and libraries that provide basic functionality for a Hadoop cluster.
In addition to the core components mentioned above, the Hadoop ecosystem also includes other components such as Hive, Pig, HBase, Spark, etc., which are used for different data processing and analysis needs.
More tutorials
How to set up a Hadoop cluster(Opens in a new browser tab)
Java Tutorial for beginners(Opens in a new browser tab)
What is the data replication mechanism in Hadoop?(Opens in a new browser tab)
What are the differences between Storm and Hadoop?(Opens in a new browser tab)
How to handle a failure of a Hadoop data node(Opens in a new browser tab)
