• support@conveytechlabs.com

HADOOP_Admin

Duration
40 – 45 hrs
Type
online

With increased adoption of Hadoop in traditional enterprise IT solutions and increased number of Hadoop implementations in production environment, the need for Hadoop Operations and Administration experts to take care of the large Hadoop Clusters is becoming vital.

    • Duration: 40 – 45 hrs
    • Timings: Week days 1-2 Hours per day (or) Weekends: 2-3 Hours per day
    • Method: Online/Classroom Training
    • Study Material: Soft Copy
    LINUX
    • Linux installation in virtual machine
    • Linux concepts
    • Linux commands
    • Linux administration commands
    Hadoop
    • What is Big data and Hadoop?
    • Different component of Hadoop and ecosystem components
    • HDFS architecture
    • Read path and write path
    • Mapreduce architecture
    Hadoop 1.0
    • Hadoop 1.0 daemons
    • Setting up Hadoop 1.0 pseudo cluster
    • Setting up Hadoop 1.0 pseudo cluster
    • Running Sample jobs on the cluster
    • Hadoop configuration files
    • Hadoop administration commands
    • Planning a Hadoop cluster
    • Cluster sizing
    • Hardware selection
    Hadoop 2.0
    • Hadoop 2.0 daemons
    • YARN architecture
    • Setting up Hadoop 2.0 pseudo cluster
    • Setting up Hadoop 2.0 pseudo cluster
    • Running Sample jobs on the cluster
    • Hadoop configuration files
    • Hadoop administration commands
    Cluster Maintenance
    • Adding a node
    • Decommission a node
    • Hadoop Upgrade
    • Job Scheduling techniques
    • Cluster Optimization technique
    • Planning for Backup, recovery and security
    • File transfer commands
    • Kerberose
    Hadoop ecosystem components
    Hive
    • Hive architecture
    • Installing Hive
    • Writing hive queries in the cluster
    PIG
    • PIG architecture
    • PIG Installation
    • Running PIG Latin commands
    SQOOP
    • Installing MySQL
    • Data transfer from RDBMS to HDFS and HDFS to RDBMS
    Flume
    • Flume installation
    • Log file transfer
    • Career oriented training.
    • One to One live interaction with a trainer.
    • Demo project end to end explanation.
    • Interview guidence with resume preparation.
    • Support with the trainer through E-mail.