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- Hadoop is an open-source framework that allows to store and process big data in a distributed environment across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage.
- This brief tutorial provides a quick introduction to Big Data, MapReduce algorithm, and Hadoop Distributed File System.
- 1. Hadoop Introduction
- What is BigData?
- What is Hadoop?
- The Hadoop Distributed File System
- Hadoop Map Reduce Works
- Anatomy of a Hadoop Cluster
- 2. Hadoop demons
Master Daemons
- Name node
- Job Tracker
- Secondary name node
Slave Daemons
- Job tracker
- Task tracker
- 3. HDFS(Hadoop Distributed File System)
- HDFS Architecture
- HDFS Blocks
- HDFS Replication
- Heart beat mechanism
- HDFS Write flow
- HDFS Read flow
- NameNode
- SecondaryNameNode
- HighAvailability
Replica
Replication Factor
Under replication
Over replication
Load balancing
- 4. Hadoop Installation
- 5. Accessing HDFS
- Browser
- CLI Approach
- JAVA Approach
- 6. MapReduce
- Understanding HADOOP API
- Eclipse integration with HADOOP for Rapid Application Development
- Examining a Sample MapReduce Program
- With several examples
- Basic API Concepts
- The Driver Code
- The Mapper
- The Reducer
- Hadoop's Streaming API
- JobTracker
- TaskTracker
- YARN
- 7. HADOOP Eco Systems
A) PIG
- Pig basics
- Install and configure PIG on a cluster
- PIG Vs MapReduce and SQL
- Pig Vs Hive
- Write sample Pig Latin scripts
- Modes of running PIG
- PIG UDFs
Running in Grunt shell
Programming in Eclipse
Running as Java program
B) Hive
- Introduction to Hive
- Why Use Hive?
- Comparing Hive to Traditional Databases
- Hive Use Cases
- Modeling and Managing Data with Hive
- Data Storage Overview
- Creating Databases and Tables
- Loading Data into Tables
- Pig basics
- Sqoop Overview
- Basic Imports and Exports
- Limiting Results
- Improving Sqoop’s Performance
C) Apache Sqoop
- Flume
- Oozie
- Zookeeper
D) Other Ecosystems
- 8. HBase
- HBase concepts
- HBase architecture
- HBase basics
- HBase use cases
- Install and configure HBase on a multi node cluster
- Create database, Develop and run sample applications
- Access data stored in HBase using clients like Java, Python and Pearl
- HBase and Hive Integration
- HBase admin tasks
HADOOP Syllabus
Hadoop Course is Duration : 30 Days
Sreenu Technologies Proide Hadoop Classroom and Online Training
Morning:- 07:30AM
Evening:- 07:30PM
Weekends:- 09:00AM to 04:30PM