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Big Data Hadoop Developer Certification Training

The best training course that covers big data methodologies and tools with the Hadoop framework.

In-Person Classroom

Unfortunately, this training model is not available for this certification

  • 3-days of guaranteed to run in-person training
  • Access to CP’s study guide designed by industry experts
  • Exam passing tips and tricks to assist in the exam
  • 2 practice tests to gauge your learning post-training
  • Application assistance and support by certified staff

$ 2049

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Live Online Classroom

An online training model with the virtual presence of an instructor

  • 3-days of assured instructor-led online live training
  • Access to CP’s study guide designed by industry experts
  • 24 PDUs certificate on completion of the training
  • 100% exam pass guarantee in the 1st attempt
  • Recorded lesson video for post-training learning

$ 1949

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Online Self-Study

Study at your own pace with the self-study model of learning

  • 180 days of complete access to the complete course
  • Access to CP’s study guide designed by industry experts
  • 24 PDUs certificate on completion of the training
  • 100% exam pass guarantee in the 1st attempt
  • Application assistance and support by certified staff

$ 899

Big Data Hadoop Developer Certification Training

Learn how various components of the Hadoop Ecosystem fit into the Big Data processing lifecycle.

Course Overview

Our Big Data Hadoop course lets you master the concepts of Hadoop framework, Big Data tools, & methodologies to prepare you for success in your role as a Big Data Developer.

Big data need to be identified, stored, assessed, classified, processed, and analysed for realizing the benefits of learning what the contents are, and how the data can be utilized and used to grow business. Hadoop is a framework used in big data to process into meaningful information. There is a high salary pay and recognition in the industry in this field.

Course Agenda

1. Introduction to Big Data and Hadoop

  • Data explosion and the need for Big Data
  • Concept of Big Data
  • Basics of Hadoop
  • History and milestones of Hadoop
  • How to use Oracle Virtual Box to open a VM

2. Hadoop Architecture

  • Use of Hadoop in commodity hardware
  • Various configurations and services of Hadoop
  • Difference between a regular and a Hadoop Distributed File System
  • HDFS architecture
  • Case Study

3. Hadoop Deployment

  • Steps to install Ubuntu Server 14.04 for Hadoop
  • Steps involved in single and multi-node Hadoop installation on Ubuntu server
  • Steps to perform clustering of the Hadoop environment
  • Case Study

4. Introduction to YARN and MapReduce

  • YARN architecture
  • Different components of YARN
  • Concepts of MapReduce
  • Steps to install Hadoop in Ubuntu machine
  • Roles of user and system
  • Case Study

5. Advanced HDFS and MapReduce

  • Advanced HDFS and related concepts
  • Steps to decommission a DataNode
  • Advanced MapReduce concepts
  • Various joins in MapReduce
  • Case Study

6. Pig

  • Concepts of Pig
  • Installation of a Pig engine
  • Prerequisites for the preparation of the environment for Pig Latin
  • Case Study

7. Hive

  • Hive and its importance
  • Hive architecture and its components
  • Steps to install and configure Hive
  • Basics of Hive programming
  • Case Study

8. HBase

  • HBase architecture
  • HBase data model
  • Steps to install HBase
  • How to insert data and query data from HBase
  • Case Study

9. Commercial Distribution of Hadoop

  • Major commercial distributions of Hadoop
  • Cloudera Quickstart Virtual Machine or VM
  • Hue interface
  • Cloudera Manager interface

10. ZooKeeper, Sqoop, and Flume

  • ZooKeeper and its role
  • Challenges faced in distributed processing
  • Install and configure ZooKeeper
  • Concept of Sqoop
  • Configure Sqoop
  • Concept of Flume
  • Configure and run Flume
  • Case Studies

11. Ecosystem and its Components

  • Hadoop ecosystem structure
  • Different components and their roles in the ecosystem
  • Case Study

12. Hadoop Administration, Troubleshooting, and Security

  • Command used in Hadoop programming
  • Different configurations of Hadoop cluster
  • Different parameters for performance monitoring and tuning
  • Configuration of security parameters in Hadoop
  • Case Study


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