Today, Hadoop has become a cornerstone of every business technology professional. To stay ahead in the game, Hadoop has become a must-know technology for the following professionals: 1. Analytics professionals 2. BI /ETL/DW professionals 3. Project managers 4. Testing professionals 5. Mainframe professionals 6. Software developers and architects 7. Graduates aiming to build a successful career around Big Data

By the end of the course, you will: 1. Master the concepts of HDFS and MapReduce framework 2. Understand Hadoop 2.x Architecture 3. Setup Hadoop Cluster and write Complex MapReduce programs 4. Learn data loading techniques using Sqoop and Flume 5. Perform data analytics using Pig, Hive and YARN 6. Implement HBase and MapReduce integration 7. Implement Advanced Usage and Indexing 8. Schedule jobs using Oozie 9. Implement best practices for Hadoop development 10. Work on a real life Project on Big Data Analytics 11. Understand Spark and its Ecosystem 12. Learn how to work in RDD in Spark

Topics Name
Online Session
Online Session
Pig

Pig Latin Script

Pig_Hive_Sqoop_Hbase

Hbase Introduction

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Hive

Hive Introduction

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Spark

Spark Content

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Map Reduce Programming

Map Reduce Programming

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Hadoop Introduction

Big Data , Hadoop Architecture, Hadoop 1.x vs 2.x vs 3.x

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Hadoop Installation

Hadoop 3.1 Installation

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You can master Hadoop, irrespective of your IT background. While basic knowledge of Core Java and SQL might help, it is not a pre-requisite for learning Hadoop.

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