AMIRIT is one of the Best Big Data Hadoop Training Institutes in Noida. Big Data Hadoop Training is based on the current industry requirements which enables one to land their dream job.

Big Data Hadoop training course in AMIRIT lets you become an expert in the concepts of the Hadoop framework. you’ll learn how the components of the Hadoop ecosystem, such as Hadoop 2.7, Yarn, MapReduce, HDFS, Pig, Impala, HBase, Flume, Apache Spark, etc. fit in with the Big Data processing lifecycle. Implement real life projects in banking, telecommunication, social media, insurance, and e-commerce on Cloud Lab.

Big Data Training in AMIRIT has been designed as per latest industry trends and keeping in mind the advanced Big Data course content and syllabus based on the professional requirement of the student; helping them to get placement in Multinational companies and achieve their career goals.

The course curriculum Training in Hadoop

Introduction to Hadoop

• Hadoop Distributed File System
• Hadoop Architecture
• MapReduce & HDFS

Hadoop Eco Systems

• Introduction to Pig
• Introduction to Hive
• Introduction to HBase
• Other eco system Map

Hadoop Developer

• Moving the Data into Hadoop
• Moving The Data out from Hadoop
• Reading and Writing the files in HDFS using java program
• The Hadoop Java API for MapReduce

  • Mapper Class
  • Reducer Class
  • Driver Class

• Writing Basic MapReduce Program In java
• Understanding the MapReduce Internal Components
• Hbase MapReduce Program
• Hive Overview
• Working with Hive
• Pig Overview
• Working with Pig
• Sqoop Overview
• Moving the Data from RDBMS to Hadoop
• Moving the Data from RDBMS to Hbase
• Moving the Data from RDBMS to Hive
• Flume Overview
• Moving The Data from Web server Into Hadoop
• Real Time Example in Hadoop
• Apache Log viewer Analysis
• Market Basket Algorithms

Hadoop Admin Training Outline

• Big Data Overview
• Introduction In Hadoop and Hadoop Related Eco System.
• Choosing Hardware For Hadoop Cluster nodes
• Apache Hadoop Installation

  • Standalone Mode
  • Pseudo Distributed Mode
  • Fully Distributed Mode

• Installing Hadoop Eco System and Integrate With Hadoop

  • Zookeeper Installation
  • Hbase Installation
  • Hive Installation
  • Pig Installation
  • Sqoop Installation
  • Installing Mahout

• Horton Works Installation
• Cloudera Installation
• Hadoop Commands usage
• Import the data in HDFS
• Sample Hadoop Examples (Word count program and Population problem)
• Monitoring The Hadoop Cluster

  • Monitoring Hadoop Cluster with Ganglia
  • Monitoring Hadoop Cluster with Nagios
  • Monitoring Hadoop Cluster with JMX

• Hadoop Configuration management Tool
• Hadoop Benchmarking