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Big Data Hadoop Training

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Overview
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    Lucrative Career Option
    73% of organizations have already invested or plan to invest in big data.
  • manipal overview icon
    Job Opportunities
    Complete the Hadoop online training become eligible for over 1,500,000 jobs.
  • manipal overview icon
    Who Should Attend
    Beginners in analytics domain, engineering & non-engineering graduates.
  • manipal overview icon
    Salary Packages
    The average salary for an entry-level Big Data engineer is ₹5 lakhs per annum.
  • manipal overview icon
    Expert Faculty
    The Big Data certification course is taught by eminent big data experts.
manipal overview icon
Lucrative Career Option
73% of organizations have already invested or plan to invest in big data.
manipal overview icon
Job Opportunities
Complete the Hadoop online training become eligible for over 1,500,000 jobs.
manipal overview icon
Who Should Attend
Beginners in analytics domain, engineering & non-engineering graduates.
manipal overview icon
Salary Packages
The average salary for an entry-level Big Data engineer is ₹5 lakhs per annum.
manipal overview icon
Expert Faculty
The Big Data certification course is taught by eminent big data experts.
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Course Curriculum
1.1 Introduction to Big Data and Hadoop
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Introduction
Challenges of Processing Big Data
Distributed Systems
History of Hadoop
Hadoop Overview
Ecosystem of Hadoop
HDFS and MapReduce Paradigm
Processing Pipeline
Big Data Technologies
Use Cases
Features of Hadoop
Summary

1.2 Hadoop Environment Setup
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Introduction
Hadoop Installation and Configuration
Hive Installation and Configuration
Pig Installation and Configuration
Sqoop Installation and Configuration
Oozie Installation and Configuration
Flume Installation and Configuration
Hbase Installation and Configuration
Hue Installation and Configuration

1.3 HDFS Operations
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Introduction
HDFS commands
Basic HDFS commands demo
Read anatomy in HDFS
Write anatomy in HDFS
Additional HDFS commands demo
HDFS permission management
HDFS permission management demo -Part 1
HDFS permission management demo -Part 2

2.1 Architecture of Map-Reduce
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Introduction
Traditional approach
Overview of map reduce (MR1)
System architecture of map reduce (MR1)
Introduction to YARN
Map-Reduce job execution in YARN (MR2/Hadoop 2.x)

2.2 Map-Reduce job execution
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Introduction
Job flow
Job submission
Job initialization
Job scheduling
Map task execution
Sort and shuffle
Reduce task execution
Job clean-up
Scheduler

3.1 Apache Pig
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Introduction
Map Reduce and PIG
Modes of execution in PIG
Pig client
Data types in PIG
Operators in PIG
Pig Usage
Loading data into PIG demo
Pig dialects
Transformations in PIG demo
Debugging in PIG demo
Other capabilities in PIG demo

3.2 Real Time Deployment and Distribution
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Real time deployment introduction
System architecture
Logical deployment overview
Physical deployment overview
Real time deployment summary
Big data software and tools introduction
Streaming tools
NoSQL tools
Administration tools
Other ecosystem tools
Big data software and tools summary

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