Introduction to Apache Hadoop for Administrators

HDP-102 (3 Days)

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

50%

Lecture/Demo

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.

Email to [email protected]

Toll-free in US/Canada:
877 849 1850

International:
+1 678 648 3113

Toll-free in US/Canada:
866 566 1228

International:
+1 404 420 2491

925B Peachtree Street, NE
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Atlanta, GA 30309-3918
USA

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