Hadoop YARN | Hadoop YARN Architecture | Hadoop YARN Tutorial | Hadoop Tutorial | Simplilearn


    This Hadoop YARN tutorial will help you understand the Hadoop 1.0 and Hadoop 2.0, limitations of Hadoop 1.0, need for YARN, what is YARN, workloads running on YARN, YARN components, YARN architecture and you will also go through a demo on YARN. YARN is the cluster resource management layer of the Apache Hadoop Ecosystem, which schedules jobs and assigns resources. Hadoop 1.0 is designed to run MapReduce jobs only and had issues in scalability, resource utilization, etc. whereas YARN solved those issues and users could work on multiple processing models. Now let us get started and learn YARN in detail.

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    Below topics are explained in this Hadoop YARN tutorial:
    1. Hadoop 1.0 (MapReduce 1) (00:34)
    2. Limitations of Hadoop 1.0 (MapReduce 1) (05:09)
    3. Need for YARN (07:21)
    4. What is YARN (10:11)
    5. Workloads running on YARN (11:29)
    6. YARN components (12:16)
    7. YARN architecture (30:26)
    8. Demo on YARN (32:37)

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    2. Understand Hadoop Distributed File System (HDFS) and YARN as well as their architecture, and learn how to work with them for storage and resource management
    3. Understand MapReduce and its characteristics, and assimilate some advanced MapReduce concepts
    4. Get an overview of Sqoop and Flume and describe how to ingest data using them
    5. Create database and tables in Hive and Impala, understand HBase, and use Hive and Impala for partitioning
    6. Understand different types of file formats, Avro Schema, using Arvo with Hive, and Sqoop and Schema evolution
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