Big Data Hadoop Developer Training Course

Become an expert in Hadoop by getting hands-on knowledge on MapReduce, Hadoop Architecture, Pig & Hive, Oozie, Flume and Apache workflow scheduler. Build familiarity with HBase, Zookeeper, and Sqoop concepts while working on industry-based use-cases and projects through Big Data Hadoop Developer Online Training Course.

  • 30000
  • 35000
  • Course Includes
  • Live Class Practical Oriented Training
  • 70 + Hrs Instructor LED Training
  • 35 + Hrs Practical Exercise
  • 25 + Hrs Project Work & Assignment
  • Timely Doubt Resolution
  • Dedicated Student Success Mentor
  • Certification & Job Assistance
  • Free Access to Workshop & Webinar
  • No Cost EMI Option


Have Query ?

What you will learn

  • Fundamentals of Hadoop and YARN and write applications using them
  • Setting up pseudo-node and multi-node clusters on Amazon EC2
  • Spark, Spark SQL, Streaming, Data Frame, RDD, GraphX and MLlib writing Spark applications
  • Hadoop administration activities like cluster managing, monitoring, administration and troubleshooting
  • Set up different configurations of Hadoop cluster
  • Maintain and monitor Hadoop cluster by considering the optimal hardware and networking settings
  • Leverage Pig, Hive, Hbase, ZooKeeper, Sqoop, Flume, and other projects from the Apache Hadoop ecosystem
  • Hadoop testing applications using MRUnit and other automation tools
  • Practicing real-life projects using Hadoop and Apache Spark

Requirements

  • You don’t need prior knowledge of Apache Hadoop.

Description

|| About Big Data Hadoop Developer Training 

Big Data Hadoop Developer Professional Online Training Program delivers the key concepts and expertise necessary to develop robust data processing applications using Apache Hadoop. The interactive sessions and demonstrations carried by an industry expert will help the aspirants in understanding all the features and programming skills easily. The Hadoop developer course focuses on the fundamentals and advanced topics of Hadoop, MapReduce, Hadoop Distributed File System (HDFC), Hadoop cluster, Pig, Hive, Hbase, ZooKeeper, Sqoop, and Flume. Big Data Analytics takes into account exabytes and petabytes of data and provides solutions to deal with the rapid flow of such huge amounts of data. BIT’s Hadoop developer training will help you master complete Hadoop development. You will trained in the domains of HDFS, MapReduce, working with various components of Hadoop like Pig, Hive, Sqoop, YARN and others. This training is in line with clearing the Hadoop component of CCA Spark and Hadoop Developer Certification (CCA175).

 

BIT’s Hadoop Developer Training is designed to make you a certified Big Data practitioner by providing you rich hands-on training on Hadoop Ecosystem. This Hadoop developer certification training is stepping stone to your Big Data journey and you will get the opportunity to work on various Big data projects. Hadoop Developer with Spark certification will let students create robust data processing applications using Apache Hadoop. After completing this course, students will be able to comprehend workflow execution and working with APIs by executing joins and writing MapReduce code. This course will offer the most excellent practice environment for the real-world issues faced by Hadoop developers. With Big Data being the buzzword, Hadoop certification and skills are being sought by companies across the globe. Big Data Analytics is a priority for many large organizations, and it helps them improve performance. Therefore, professionals with Big Data Hadoop expertise are required by the industry at large. As organisations have realized the benefits of Big Data Analytics, so there is a huge demand for Big Data & Hadoop professionals. Companies are looking for Big data & Hadoop experts with the knowledge of Hadoop Ecosystem and best practices about HDFS, MapReduce, Spark, HBase, Hive, Pig, Oozie, Sqoop & Flume.

 

Course Content

Live Lecture

·       Apache Hadoop Overview

·       Data Processing

·       Introduction to the Hands-On Exercises

·       Practical Exercise

Live Lecture

·       Apache Hadoop Cluster Components

·       HDFS Architecture

·       Using HDFS

·       Practical Exercise

Live Lecture

·       YARN Architecture

·       Working With YARN

·       Practical Exercise

Live Lecture

·       What is Apache Spark?

·       Starting the Spark Shell

·       Using the Spark Shell

·       Getting Started with Datasets and DataFrames

·       DataFrame Operations

·       Practical Exercise