Hadoop training course is designed to provide knowledge and skills to become a successful Hadoop Developer. In-depth knowledge of concepts such as Hadoop Distributed File System, Hadoop Cluster- Single and multi node, Hadoop 2.0, Flume, Sqoop, Map-Reduce, PIG, Hive, Hbase, Zookeeper, Oozie etc. will be covered in the course.
Hadoop Course Modules
INTRODUCTION
- What is Hadoop?
- Who is behind Hadoop?
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- History of Hadoop
- What Hadoop is good for and why it is Good
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- Building Blocks – Hadoop Eco-System
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HDFS
- Configuring HDFS
- Additional HDFS Tasks
- Hadoop File System Shell
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- Interacting With HDFS
- HDFS Overview and Architecture
- File System Java API
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- HDFS Permissions and Security
- HDFS Installation
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MAPREDUCE
- Map/Reduce Overview and Architecture
- Input and Output Formats
- Practicing Map Reduce Programs (atleast 10 Map Reduce Algorithms )
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- Installation
- Job Configuration
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- Developing Map/Red Jobs
- Job Submission
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Getting Started With Eclipse IDE
- Configuring Hadoop API on Eclipse IDE
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- Connecting Eclipse IDE to HDFS
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Advanced MapReduce Features
- Custom Data Types
- Partitioning Data
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- Input Formats
- Reporting Custom Metrics
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- Output Formats
- Distributing Auxiliary Job Data
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PIG
- Pig Overview
- Pig with HDFS
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Hive
- Hive Overview
- Hive Unstructured Data Analyzation
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- Installation
- Hive Semistructured Data Analyzation
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HBase
- HBase Overview and Architecture
- CRUD operations
- HBase Key Design
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- HBase Installation
- Scanning and Batching
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ZooKeeper
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Sqoop
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CONFIGURATION
- Basic Setup
- Cluster Configurations
- Large Clusters: Multiple Racks
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- Important Directories
- Small Clusters: 2-10 Nodes
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- Selecting Machines
- Medium Clusters: 10-40 Nodes
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Putting it all together
- Distributed installations
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