Introduction

• History of Hadoop Project
• Need and requirement for Hadoop
• Components of Hadoop project

HDFS

• Basics (Blocks, Namenodes and Datanodes)
• Interfaces and Data read and write process
• HAR files and distcp
• Command Line Interface
• SequenceFile and MapFile, Checksumming, codecs and Writables

MapReduce

• Basics and Configuration API
• Combiner functions and streaming
• Counters, sorting, joins and side data
• Input formats (Text, binary, database, multiple)
• Output formats (Text, binary, database, multiple)
• Submission and initialization of job and task
• JobTracker and TaskTracker classes
• Scheduling, Shuffle and sort
• Environment and side effects
• Configuration API
• Debugging and Optimizing

Cluster

• Installation
• Configuration
• Testing and benchmarking

Administration

• dfsadmin, fsck and balancer
• log4j logging, log levels, stack trace and metrics
• Backup and filesystem checks
• Add and removal of nodes

Pig

• Installation, Local and hadoop mode
• Grunt, script and embedded execution
• Pig Latin
• UDF and data processing operator

Hbase

• Need and evolution
• Installation
• Clients

Zookeeper

• Installation
• Group membership and management
• Znodes
• API, triggers and ACL
• States, consistency and sessions
• Implementation

Apply for Certification

https://www.vskills.in/certification/Certified-Cassandra-Professional