Description
The Big Data and Hadoop training course is designed to enhance your knowledge and skills to become a successful Hadoop developer. In-depth knowledge of core concepts will be covered in the course along with implementation on varied industry use-cases.
Objectives
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
Course Content
Pig Latin Script
Hbase Introduction
Hive Introduction
Spark Content
Map Reduce Programming
Big Data , Hadoop Architecture, Hadoop 1.x vs 2.x vs 3.x
Hadoop 3.1 Installation

Prerequisite
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
Requirements
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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