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Mastering Hadoop, Part 2: Getting Hands-On — Setting Up and Scaling Hadoop
- Hadoop Ozone, a distributed object storage system, was added to the Hadoop architecture in 2020 as an alternative to HDFS for better handling modern data requirements.
- HDFS stores files divided into blocks distributed across nodes, replicated three times for data integrity.
- Hadoop follows a master-slave principle with NameNode as master and DataNodes storing data blocks.
- MapReduce enables parallel processing, with mappers splitting tasks and reducers aggregating results.
- YARN manages cluster resources efficiently, separating resource management from data processing.
- Hadoop Common provides foundational components for the Hadoop ecosystem for seamless operation of all components.
- Hadoop Ozone offers a scalable storage solution optimized for Kubernetes and cloud environments.
- Hadoop can be installed locally for single-node testing and can be scaled in a distributed environment.
- Hadoop can also be deployed in the cloud with providers offering automated scaling and cost-efficient solutions.
- Basic commands in Hadoop enable data storage, processing, and debugging for efficient cluster management.
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