Big data and Hadoop development

  • Understand Hadoop 2.x Architecture
  • Learn to setup Hadoop Cluster and write Complex MapReduce programs
  • Learn the data loading techniques using Sqoop and Flume
  • Perform Data Analytics using Pig, Hive and YARN
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Overview
Course Outline
Key Features
Course Objectives

Overview

Big Data Hadoop training provides in-depth knowledge on Hadoop Ecosystem tools and Big Data. Here you learn HDFS, MapReduce, Hbase, Hive, Pig, Oozie, Flume and Sqoop by working on real-world Big Data Hadoop Projects. Considering this increasing gap in the demand and supply with help of this Big Data Engineering training, IT/ ITES professionals can bag lucrative opportunities and boost their career by gaining sought skills after completing this Big Data Engineering course.

Course outline

  • Broad Overview: Data Deluge to Clouds
  • Clouds Grids and HPC
  • Cloud applications
  • Analytics and Parallel Computing on Clouds and HPC
  • Data (Analytics) Architectures
  • Data Science and Data Analytics
  • Hadoop
  • Hadoop in Detail
  • Map Reduce
  • Cassandra, MongoDB, Neo4j
  • Clustered File System

Key Features

  • 32 hours Instructor led Online Training
  • Soft copy of Training Material
  • Course Completion Certificate
  • 45 CCR PDU Certificate
  • Flexibility to choose classes
  • Real times Case studies with examples
  • Learn with Apache Pig, Hive, Sqoop, Flume and Oozie frameworks
  • Course delivered by World-class Trainers
  • Post training support
  • 100% Money Back Guarantee
  • 10% discount on any other Course

Course Objectives

  • Master the concepts of HDFS and MapReduce framework
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