ORACLE HADOOP COACHING INSTITUTE IN INDIA SADGURU01 IN INDIA
HADOOP Training in Hyderabad @Sadguru Technologies
Course Objective Summary
During this course, you will learn:
Introduction to Big Data and Analytics
• Introduction to Hadoop
• Hadoop ecosystem - Concepts
• Hadoop Map-reduce concepts and features
• Developing the map-reduce Applications
• Pig concepts
• Hive concepts
• Sqoop concepts
• Flume Concepts
• Oozie workflow concepts
• Impala Concepts
• Hue Concepts
• HBASE Concepts
• ZooKeeper Concepts
• Real Life Use Cases
Reporting Tool
Tableau
1. Virtualbox/VM Ware
Basics
• Installations
• Backups
• Snapshots
2. Linux
Basics
• Installations
• Commands
3. Hadoop
Why Hadoop?
• Scaling
• Distributed Framework
• Hadoop v/s RDBMS
• Brief history of hadoop
4. Setup hadoop
Pseudo mode
• Cluster mode
• Ipv6
• Ssh
• Installation of java, hadoop
• Configurations of hadoop
• Hadoop Processes ( NN, SNN, JT, DN, TT)
• Temporary directory
• UI
• Common errors when running hadoop cluster, solutions
5. HDFS- Hadoop distributed File System
HDFS Design and Architecture
• HDFS Concepts
• Interacting HDFS using command line
• Interacting HDFS using Java APIs
• Dataflow
• Blocks
• Replica
6. Hadoop Processes
Name node
• Secondary name node
• Job tracker
• Task tracker
• Data node
7. Map Reduce
Developing Map Reduce Application
• Phases in Map Reduce Framework
• Map Reduce Input and Output Formats
• Advanced Concepts
• Sample Applications
• Combiner.,
HADOOP Training in Hyderabad @Sadguru Technologies
Course Objective Summary
During this course, you will learn:
Introduction to Big Data and Analytics
• Introduction to Hadoop
• Hadoop ecosystem - Concepts
• Hadoop Map-reduce concepts and features
• Developing the map-reduce Applications
• Pig concepts
• Hive concepts
• Sqoop concepts
• Flume Concepts
• Oozie workflow concepts
• Impala Concepts
• Hue Concepts
• HBASE Concepts
• ZooKeeper Concepts
• Real Life Use Cases
Reporting Tool
Tableau
1. Virtualbox/VM Ware
Basics
• Installations
• Backups
• Snapshots
2. Linux
Basics
• Installations
• Commands
3. Hadoop
Why Hadoop?
• Scaling
• Distributed Framework
• Hadoop v/s RDBMS
• Brief history of hadoop
4. Setup hadoop
Pseudo mode
• Cluster mode
• Ipv6
• Ssh
• Installation of java, hadoop
• Configurations of hadoop
• Hadoop Processes ( NN, SNN, JT, DN, TT)
• Temporary directory
• UI
• Common errors when running hadoop cluster, solutions
5. HDFS- Hadoop distributed File System
HDFS Design and Architecture
• HDFS Concepts
• Interacting HDFS using command line
• Interacting HDFS using Java APIs
• Dataflow
• Blocks
• Replica
6. Hadoop Processes
Name node
• Secondary name node
• Job tracker
• Task tracker
• Data node
7. Map Reduce
Developing Map Reduce Application
• Phases in Map Reduce Framework
• Map Reduce Input and Output Formats
• Advanced Concepts
• Sample Applications
• Combiner.,
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