Operating Hadoop Clusters from Skillsoft

Online, Self-Paced

Hadoop is a framework written in Java for running applications on large clusters of commodity hardware. In this course we will examine many of the HDFS administration and operational processes required to operate and maintain a Hadoop cluster. We will take a look at how to balance a Hadoop cluster, manage jobs, and perform backup and recovery for HDFS. This learning path can be used as part of the preparation for the Cloudera Certified Administrator for Apache Hadoop (CCA-500) exam.

Learning Objectives

Hadoop Operations

start the course
monitor and improve service levels
deploy a Hadoop release
describe the purpose of change management

Racks Awareness for Hadoop

describe rack awareness
write configuration files for rack awareness

File System Management for HDFS

start and stop a Hadoop cluster
write init scripts for Hadoop
describe the tools fsck and dfsadmin
use fsck to check the HDFS file system
set quotas for the HDFS file system
install and configure trash

DataNode Management for HDFS

manage an HDFS DataNode
use include and exclude files to replace a DataNode
describe the operations for scaling a Hadoop cluster
add a DataNode to a Hadoop cluster

Balancing a Hadoop Cluster

describe the process for balancing a Hadoop cluster
balance a Hadoop cluster

Backup and Recovery for HDFS

describe the operations involved for backing up data
use distcp to copy data from one cluster to another

Managing Jobs

describe MapReduce job management on a Hadoop cluster
perform MapReduce job management on a Hadoop cluster

Upgrades for a Hadoop Cluster

plan an upgrade of a Hadoop cluster

Practice: High Availability

write and complete a plan to install Hbase with high availability

Framework Connections

The materials within this course focus on the NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):