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Day 1:
9:30Hrs to 01:30Hrs
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Big Data & Hadoop
Introduction to Data Analytics
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Introduction to Big Data
What is Big Data
Problems with Big Data
Idea Behind Hadoop
Structured VS Unstructured Data
Big Data & Hadoop Strategy
Introduction to Hadoop
Need of Hadoop
History behind Hadoop
Name Evolution
Hadoop Usage
Hadoop Limitations
Future of Hadoop
Map/Reduce
What is Data Analytics
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02:00Hrs to 05:00Hrs
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Google Map/Reduce
WordCount Program
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What is Google Map/Reduce
Google Map/Reduce structure
Relation between Hadoop & Map/Reduce
Hadoop Map/Reduce programming
Hadoop Setup
Installation of Hadoop
WordCount Program Handson
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05:00 Hrs to 05:30 Hrs
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QA Session
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QA Session
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Day 2:
9:30Hrs to 01:30Hrs
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Visualization Techniques for Analytics
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Introduction to Real Time Analytics
Real time projects of Analytics
Installation of Zeppelin
Python NoteBook
Zeppelin Tool Demo
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02:00Hrs to 05:00Hrs
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Hands on with Zeppelin
QA Session
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One Mini Project with Zeppelin Tool
Recent Trends in Bigdata & Career Opportunity in it
Research Trends in IT
QA Session & Career Opportunity with Hadoop & Bigdata
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Day 3:
9:30Hrs to 10:30Hrs
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Introduction to YARN
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How is it different
MapReduce-2
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10:30Hrs to 12:30Hrs
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Introduction to NOSQL
Apache Hive
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Introduction to Apache Hive
Installation of Hive
Work with Hive
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12:30Hrs to 1:30Hrs
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Introduction to SQOOP
SQOOP Installation
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Installation of Sqoop
Working with Sqoop
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2:00Hrs to 5:00Hrs
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Introduction to MongoDB
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Installation of MongoDB
Working with MongoDB
MongoDB Assignments
Hands on Assignments
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5:00Hrs to 5:30Hrs
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QA Session
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QA Session
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