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

Course Number:

HDP-102

Duration:

3 Location and Pricing

Most Accelebrate courses are delivered as private, customized, on-site training at our clients' locations worldwide for groups of 3 or more attendees and are custom tailored to their specific needs. Please visit our client list to see organizations for whom we have delivered private in-house training. These courses can also be delivered as live, private online classes for groups that are geographically dispersed or wish to save on the instructor's or students' travel expenses. To receive a customized proposal and price quote for private training at your site or online, 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

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 needed for each student PC:

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.
For classes delivered online, all participants need either dual monitors or a separate device logged into the online session so that they can do their work on one screen and watch the instructor on the other. A separate computer connected to a projector or large screen TV would be another way for students to see the instructor's screen simultaneously with working on their own.

Related Courses:

50%

Lecture/Demo

50%

Lab

Software needed for each student PC:

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.
For classes delivered online, all participants need either dual monitors or a separate device logged into the online session so that they can do their work on one screen and watch the instructor on the other. A separate computer connected to a projector or large screen TV would be another way for students to see the instructor's screen simultaneously with working on their own.

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Introduction to Apache Hadoop Development

Introduction to Apache Hadoop for Administrators

Hadoop Architecture and SQL

Introduction to Apache Hadoop for Administrators

50%

50%

Course Number:

HDP-102

Duration:

3

Location and Pricing

Hadoop Administration Training Objectives

Hadoop Administration Training Outline

Prerequisites:

Training Materials:

Software needed for each student PC:

Related Courses:

50%

50%

Course Number:

HDP-102

Duration:

3 Days

Prerequisites:

Training Materials:

Software needed for each student PC:

Related Courses:

Recent Training Locations

United States

Canada

Puerto Rico

ACCELERATED LEARNING, CELEBRATED RESULTS ®

Introduction to Apache Hadoop for Administrators

50%

50%

Course Number:

HDP-102

Duration:

3

Location and Pricing

Hadoop Administration Training Objectives

Hadoop Administration Training Outline

Prerequisites:

Training Materials:

Software needed for each student PC:

Related Courses:

50%

50%

Course Number:

HDP-102

Duration:

3 Days

Prerequisites:

Training Materials:

Software needed for each student PC:

Related Courses:

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Recent Training Locations

United States

Canada

Puerto Rico