This course will prepare you to:

• Explain the architecture of the Hadoop Administration.
• Configure and use new functionalities in Hadoop Administration Concepts.

• What is Big Data ?
• Big Data Facts
• The Three V’s of Big Data

• What is Hadoop ?
• Why learn Hadoop ?
• Relational Databases Vs. Hadoop
• Motivation for Hadoop
• 6 Key Hadoop Data Types

• What is HDFS ?
• HDFS components
• Understanding Block storage
• The Name Node
• The Data Nodes
• Data Node Failures
• HDFS Commands
• HDFS File Permissions

• Overview of MapReduce
• Understanding MapReduce
• The Map Phase
• The Reduce Phase
• WordCount in MapReduce
• Running MapReduce Job

• Single Node Cluster Configuration
• Multi-Node Cluster Configuration
• Cluster Maintenance
• Checking HDFS Status
• Breaking the cluster
• Copying Data Between Clusters
• Adding and Removing Cluster Nodes
• Rebalancing the cluster
• Name Node Metadata Backup
• Cluster Upgrading

• Sqoop
• Flume
• Hive
• Pig
• HBase
• Oozie

• Managing Jobs
• The FIFO Scheduler
• The Fair Schedule
• How to stop and start jobs running on the cluster

• General System conditions to Monitor
• Name Node and Job Tracker Web Uis
• View and Manage Hadoop’s Log files
• Ganglia Monitoring Tool
• Common cluster issues and their resolutions
• Benchmark your cluster’s performance

• How to use Sqoop to import data from RDBMSs to HDFS
• How to gather logs from multiple systems using Flume
• Features of Hive, Hbase and Pig
• How to populate HDFS from external Sources

Practice Test and Interview Questions