Description

Duration

3 Days

18 CPD hours

This course is intended for

This is an introductory-level course designed to teach experienced systems administrators how to install, maintain, monitor, troubleshoot, optimize, and secure Hadoop. Previous Hadoop experience is not required.

Overview

Working within in an engaging, hands-on learning environment, guided by our expert team, attendees will learn to:
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

Apache Hadoop is an open source framework for creating reliable and distributable compute clusters. Hadoop provides an excellent platform (with other related frameworks) to process large unstructured or semi-structured data sets from multiple sources to dissect, classify, learn from and make suggestions for business analytics, decision support, and other advanced forms of machine intelligence.
This is an introductory-level, hands-on lab-intensive course geared for the administrator (new to Hadoop) who is charged with maintaining a Hadoop cluster and its related components. You will learn how to install, maintain, monitor, troubleshoot, optimize, and secure Hadoop.

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

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Introduction to Hadoop Administration (TTDS6503)

By Nexus Human

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