Introduction to Apache Hadoop for Administrators

HDP-102 (3 Days)
4.7 out of 5 (7 reviews)  

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Hadoop Administration Training Overview

Accelebrate's Hadoop Administration Training: Introduction to Apache Hadoop for Administrators training class teaches attendees to install, maintain, monitor, troubleshoot, optimize, and secure Hadoop.

Location and Pricing

Most Accelebrate courses are taught as private, customized training for 3 or more attendees at our clients' sites worldwide. In addition, we offer live, private online classes for teams who may be in multiple locations or wish to save on travel costs. Please visit our client list for organizations for whom we have delivered onsite training. To receive a customized proposal and price quote for private on-site or online training, please contact us.

Hadoop Administration Training Objectives

  • Understand the benefits of distributed computing
  • Understand the Hadoop architecture (including HDFS and MapReduce)
  • Define administrator participation in Big Data projects
  • Plan, implement, and maintain Hadoop clusters
  • Deploy and maintain additional Big Data tools (Pig, Hive, Flume, etc.)
  • Plan, deploy and maintain HBase on a Hadoop cluster
  • Monitor and maintain hundreds of servers
  • Pinpoint performance bottlenecks and fix them

Hadoop Administration Training Outline

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Introduction
  • Hadoop history and concepts
  • Ecosystem
  • Distributions
  • High level architecture
  • Hadoop myths
  • Hadoop challenges (hardware / software)
Planning and installation
  • Selecting software and Hadoop distributions
  • Sizing the cluster and planning for growth
  • Selecting hardware and network
  • Rack topology
  • Installation
  • Multi-tenancy
  • Directory structure and logs
  • Benchmarking
HDFS operations
  • Concepts (horizontal scaling, replication, data locality, rack awareness)
  • Nodes and daemons (NameNode, Secondary NameNode, HA Standby NameNode, DataNode)
  • Health monitoring
  • Command-line and browser-based administration
  • Adding storage and replacing defective drives
MapReduce operations
  • Parallel computing before MapReduce: compare HPC versus Hadoop administration
  • MapReduce cluster loads
  • Nodes and Daemons (JobTracker, TaskTracker)
  • MapReduce UI walk through
  • MapReduce configuration
  • Job config
  • Job schedulers
  • Administrator view of MapReduce best practices
  • Optimizing MapReduce
  • Fool proofing MR: what to tell your programmers
  • YARN: architecture and use
Advanced topics
  • Hardware monitoring
  • System software monitoring
  • Hadoop cluster monitoring
  • Adding and removing servers and upgrading Hadoop
  • Backup, recovery, and business continuity planning
  • Cluster configuration tweaks
  • Hardware maintenance schedule
  • Oozie scheduling for administrators
  • Securing your cluster with Kerberos
  • The future of Hadoop
Conclusion
Request Pricing for Introduction to Apache Hadoop for Administrators

Lecture percentage

50%

Lecture/Demo

Lab percentage

50%

Lab

Course Number:

HDP-102

Duration:

3 Days

Prerequisites:

All attendees must have prior systems administration experience. Knowledge of Hadoop and Distributed Computing is not required, but rather will be introduced and explained in the course.

Training Materials:

All attendees receive courseware and a related textbook.

Software Requirements:

  • A web browser - any recent version of Chrome, Firefox, or Internet Explorer, with a recent version of Flash Player
  • An SSH client
  • We will provide Hadoop clusters in a remote environment.

Contact Us:

Accelebrate’s training classes are available for private groups of 3 or more people at your site or online anywhere worldwide.

Don't settle for a "one size fits all" public class! Have Accelebrate deliver exactly the training you want, privately at your site or online, for less than the cost of a public class.

For pricing and to learn more, please contact us.

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