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This course is designed for administrators who will be managing the Hortonworks Data Platform (HDP) 2.2. It covers installation, configuration, maintenance, security and
performance topics.
4 days
Target Audience
IT administrators and operators responsible for installing, configuring and supporting an HDP 2.2 deployment in a Linux environment.

Course Objectives

  • Describe various tools and frameworks in the Hadoop 2.x ecosystem
  • Understand support for various types of cluster deployments
  • Understand storage, network, processing, and memory needs for a Hadoop cluster
  • Understand provisioning and post deployment requirements
  • Describe Ambari Stacks, Views, and Blueprints
  •  Install and configure an HDP 2.2 cluster using Ambari
  • Understand the Hadoop Distributed File System (HDFS) 
  • Describe how files are written to and stored in HDFS
  • Explain Heterogeneous Storage support for HDFS
HandsOn Labs
  • Install HDP 2.2 cluster using Ambari
  • Add new hosts to the cluster
  • Managing HDP services
  • Using HDFS commands
  • Verify data with Block Scanner and fsck
  • Troubleshoot a MapReduce job
  • Configuring the Capacity Scheduler
  • Using WebHDFS
  • Using Sqoop
  • Install and test Flum
  •  Mounting HDFS to a Local File System
  •  Using distcp to copy data from a remote cluster
  •  Dataset Mirroring using Falcon
  • Commissioning and Decommissioning Services
  •  Using HDFS snapshots
  • Configuring Rack Awareness
  • Configure NameNode HA using Ambari
  • Setting up the Knox Gateway
  • Securing an HDP Cluster
Attendees should be familiar with with Hadoop and Linux environments. 
50% Lecture/Discussion
50% Handson Labs
Hortonworks offers a comprehensive certification program thatidentifies you as an expert in Apache Hadoop. for more information.
Hortonworks University
Hortonworks University is your expert source for ApacheHadoop training and certification. Public and private onsitecourses are available for developers, administrators, dataanalysts and other IT professionals involved in implementingbig data solutions. Classes combine presentation material withindustryleading handson labs that fully prepare students forrealworld Hadoop scenarios.

Additional Information