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Big Data Hadoop Training Course

Big Data Hadoop Professional Online Training Program is curated by Hadoop experts, and it covers in-depth knowledge on Big Data and Hadoop Ecosystem tools such as HDFS, YARN, MapReduce, Hive, and Pig.

  • 35000
  • 40000
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  • Course Includes
  • Live Class Practical Oriented Training
  • 80 + Hrs Instructor LED Training
  • 45 + 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
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What you will learn

  • Role of Relational Database Management System (RDBMS) and Grid computing
  • Concepts of MapReduce and HDFS
  • Using Hadoop I/O to write MapReduce programs
  • Develop MapReduce applications to solve the problems
  • Set up Hadoop cluster and administer
  • Hive, a data warehouse software, for querying and managing large datasets residing in distributed storage
  • Use of Sqoop in controlling the import and consistency
  • Spark, Spark SQL, Streaming, Data Frame, RDD, GraphX and MLlib writing Spark applications
  • Hadoop testing applications using MRUnit and other automation tools
  • Configuring ETL tools like Pentaho/Talend to work with MapReduce, Hive, Pig, etc.

Requirements

  • The candidates with basic understanding of computers, SQL, and elementary programing skills in Python are ideal for this training.

Description

|| About Big Data Hadoop Training Course

Big Data and Hadoop online training is essential to understand the power of Big Data. The training introduces about Hadoop, MapReduce, and Hadoop Distributed File system (HDFS). It will drive you through the process of developing distributed processing of large data sets across clusters of computers and administering Hadoop. The participants will learn how to handle heterogeneous data coming from different sources. This data may be structured, unstructured, communication records, log files, audio files, pictures, and videos.

 

BIT’s Big Data Hadoop training program helps you master Big Data Hadoop Administration. In this Big Data course, you will master MapReduce, Hive, Pig, Sqoop, Oozie and Flume and work with Amazon EC2 for cluster setup, Spark framework and RDD, Scala and Spark SQL etc. The Big Data Hadoop professional training is designed to give you an in-depth knowledge of the Big Data framework using Hadoop and Spark. In this hands-on Hadoop course, you will execute real-life, industry-based projects using Integrated Lab. Big Data is one of the accelerating and most promising fields, considering all the technologies available in the IT market today. In order to take benefit of these opportunities, you need a structured training with the latest curriculum as per current industry requirements and best practices. Besides strong theoretical understanding, you need to work on various real world big data projects using different Big Data and Hadoop tools as a part of solution strategy. Additionally, you need the guidance of a Hadoop expert who is currently working in the industry on real world Big Data projects and troubleshooting day to day challenges while implementing them.

Course Content

Live Lecture

·       Understanding Big Data

·       Types of Big Data

·       Big Data Challenges

·       Limitations & Solutions of Big Data Architecture

·       Hadoop & its Features

·       Hadoop Ecosystem

·       Different Hadoop Distributions

·       Difference between Traditional Data and Big Data

·       Hadoop 2.x Core Components Preview

·       Hadoop Storage: HDFS (Hadoop Distributed File System)

·       Hadoop Processing: MapReduce Framework

·       Distributed Data Storage in Hadoop, HDFS and Hbase

·       Hadoop Data processing Analyzing Services MapReduce and spark, Hive Pig and Storm

·       Data Integration Tools in Hadoop

·       Resource Management and cluster management Services

·       Practical Exercise
Live Lecture

·       Hadoop 2.x Cluster Architecture

·       Federation and High Availability Architecture

·       Typical Production Hadoop Cluster

·       Hadoop Cluster Modes

·       Common Hadoop Shell Commands

·       Hadoop 2.x Configuration Files

·       Single Node Cluster & Multi-Node Cluster set up

·       Basic Hadoop Administration

·       Need of Hadoop in Big Data

·       The MapReduce Framework

·       What is YARN?

·       Understanding Big Data Components

·       Monitoring, Management and Orchestration Components of Hadoop Ecosystem

·       Different Distributions of Hadoop

·       Practical Exercise
Live Lecture

·       Hortonworks sandbox installation & configuration

·       Hadoop Configuration files

·       Working with Hadoop services using Ambari

·       Hadoop Daemons

·       Browsing Hadoop UI consoles

·       Basic Hadoop Shell commands

·       Eclipse & winscp installation & configurations on VM

·       Practical Exercise
Live Lecture

·       Running a MapReduce application in MR2

·       MapReduce Framework on YARN

·       Fault tolerance in YARN

·       Map, Reduce & Shuffle phases

·       Understanding Mapper, Reducer & Driver classes

·       Writing MapReduce WordCount program

·       Executing & monitoring a Map Reduce job

·       Counters

·       Distributed Cache

·       MRunit

·       Reduce Join

·       Custom Input Format

·       Sequence Input Format

·       XML file Parsing using MapReduce

·       Practical Exercise