Big Data Hadoop Certification Training Course

Big Data Hadoop Certification Training makes you Master in HDFS, Yarn, Map Reduce, Hive, HBaseSqoop, Flume, Oozie, Zoopkeeper, Spark and Storm.

Hadoop Professionals are attracting Premium pay Packages due to shortage of skills in Global markets.

What is Big Data and Hadoop?

Big data is a collection of the large volumes of data that can’t be processed using the traditional Database management systems. This huge amount of data is coming from various sources like smartphones, twitters, facebook and other sources. According to various survey’s 90% of the world’s data is generated in the last two years.

To address these issues, google labs came up with an algorithm to split their large amount of data into smaller chunks and map them to many computers and when calculations were done, bring back the results to consolidate. This software framework for storing and processing big data is known as Hadoop. Hadoop framework has many components such as HDFS, MapReduce, HBase, Hive, Pig,sqoop, zookeeper to analyse structured and unstructured data using commodity hardware.

Pre-requisites for Big Data and Hadoop Certification Course:

* There are no pre-requisites to learn Big Data and Hadoop Course. Basic knowledge of Core Java SQL will be beneficial, but certainly not mandatory.

* As part of Big Data and Hadoop Certification course, Manumedisoft can provide a complementary self-paced course on core java.

Audience for Big Data and Hadoop Course:

* Software developers/Engineers

* Project leads, Architects and Project Managers

* Analysts, Data analysts, Java Architects, DBA, and Database related professionals

* Graduates and Professionals aspiring for making a career in Big data and Hadoop 

IT Skills’s Online Big Data Hadoop Training has helped thousands of Big Data Hadoop professionals around the globe to bag top jobs in the industry. Our Online Big Data Hadoop Certification course includes lifetime access, 24X7 support and class recordings. 

In this Big Data Hadoop Certification Course, trainees will gain a practical skill set on Hadoop in detail, including its fundamental and latest modules, like HDFS, Map Reduce, Hive, HBase, Sqoop, Flume, Oozie, Zoopkeeper, Spark and Storm. At end of the program, aspirants are awarded with Big Data & Hadoop Certification. You will also work on a project as part of your training which would prepare to take up assignments on Big data

Objectives of the Course

After completion of the Big Data and Hadoop Course from IT Skills, you will be able to:

* Completely understanding Apache Hadoop Framework

* Understanding of HDFS, learn how MapReduce processes the data

* Hadoop development and implementation

* Understand how YARN engages in managing to compute resources into clusters

* Design, build, install, configuring the applications involving Big Data and Hadoop Ecosystem

* Maintain security and data privacy

Who can become a Big Data and Hadoop Professional?

There are no predefined or stringent prerequisites to learn Hadoop, but comprehensive Hadoop Certification Training can help you get a Big data Hadoop job if you have the readiness to build a career in Big Data Domain.

It’s a wrong belief that only professionals with familiarity in Java programming background are suitable for learning Big Data Hadoop or joining a career in this domain. An elementary knowledge of any programming language like Java, C++ or Python, and Linux is always an additional advantage. The following individuals are able to become a BigData Hadoop Professional, Software developers, Architects, Analysts, DBA, Data Analysts, Business Analysts, Big Data professionals, or anyone who is considering to building a career in Big Data and Hadoop is ideal applicants for the Big Data and Hadoop training.

Key Features

  • High quality hours of training
  • Trainers are Industry experts & working professionals
  • Comprehensive up-to date contents
  • Exercises & Hands-on assignments
  • 100% Money back guarantee
  • Course completion certificate

How are the classes conducted?

  • Class Room Training
  • Instructor-Led online Training

Money back Guarantee

  • If you don't like the training, inform us after 1st session. 100% money will be refunded with no questions asked

Group Discount

  • 10% discount for 3 or more registration 

Agenda

Module 1: Introduction to Big Data and Hadoop

  • What is Big Data?
  • The Rise of Bytes
  • Data Explosion and its Sources
  • Types of Data – Structured, Semi-structured, Unstructured data
  • Why did Big Data suddenly become so prominent
  • Data – The most valuable resource
  • Characteristics of Big Data – IBM’s Definition
  • Limitations of Traditional Large-Scale Systems
  • Various Use Cases for Big Data
  • Challenges of Big Data
  • Hadoop Introduction – What is Hadoop? Why Hadoop?
  • Is Hadoop a fad or here to stay? – Hadoop Job Trends
  • History and Milestones of Hadoop
  • Hadoop Core Components – MapReduce & HDFS
  • Why HDFS?
  • Comparing SQL Database with Hadoop
  • Understanding the big picture – Hadoop Eco-Systems
  • Commercial Distribution of Hadoop – Cloudera, Hortonworks, MapR, IBM BigInsight, Cloud Computing – Amazon Web Services, Microsoft Azure HDInsight
  • Supported Operating Systems
  • Organizations using Hadoop
  • Hands on with Linux File System
  • Hadoop Documentation and Resources

Module 2: Getting Started with Hadoop Setup

  • Deployment Modes – Standalone, Pseudo-Distributed Single node, Multinode
  • Demo Pseudo-Distributed Virtual Machine Setup on Windows
  • Virtual Box – Introduction
  • Install Virtual Box
  • Open a VM in Virtual Box
  • Hadoop Configuration overview
  • Configuration parameters and values
  • HDFS parameters
  • MapReduce parameters
  • YARN parameters
  • Hadoop environment setup
  • Environment variables
  • Hadoop Core Services – Daemon Process Status using JPS
  • Overview of Hadoop WebUI
  • Firefox Bookmarks
  • Web Ports
  • Eclipse development environment setup

Module 3: Hadoop Architecture and HDFS

  • Introduction to Hadoop Distributed File System
  • Regular File System v/s HDFS
  • HDFS Architecture
  • Components of HDFS – NameNode, DataNode, Secondary NameNode
  • HDFS Features – Fault Tolerance, Horizontal Scaling
  • Data Replication, Rack Awareness
  • Setting up HDFS Block Size
  • HDFS2.0 – High Availability, Federation
  • Hands on with Hadoop HDFS,WebUI and Linux Terminal Commands
  • HDFS File System Operations
  • Name Node Metadata, File System Namespace, NameNode Operation,
  • Data Block Split, Benefits of Data Block Approach, HDFS – Block Replication Architecture, Block placement, Replication Method, Data Replication Topology, Network Topology, Data Replication Representation
  • Anatomy of Read and Write data on HDFS
  • Failure and Recovery in Read/Write Operation
  • Hadoop Component failures and recoveries
  • HDFS Programming Basics – Java API
  • Java API Introduction
  • Hadoop Configuration API
  • HDFS API Overview
  • Accessing HDFS Programmatically

Module 4: MapReduce Framework

  • What is MapReduce and Why it is popular
  • MapReduce Framework– Introduction, Driver, Mapper, Reducer, Combiner, Split, Shuffle & Sort
  • Example: Word Count the Hello World of MapReduce
  • Use cases of MapReduce
  • MapReduce Logical Data Flow – with multiple/single reduce task
  • MapReduce Framework revisited
  • Steps to write a MapReduce Program
  • Packaging MapReduce Jobs in a JAR
  • MapReduce CLASSPATH
  • Different ways of running MapReduce job
  • Run on Eclipse – local v/s HDFS
  • Run M/R job using YARN
  • Writing and Viewing Log Files and Web UI
  • Input Splits in MapReduce
  • Relation between Input Splits and HDFS Blocks
  • Hands on with Map Reduce Programming

FAQ

Who are the instructors?

We believe in quality & follow a rigorous process in selecting our trainers. All our trainers are industry experts/ professionals with an experience in delivering trainings.

Whom do I contact, if I have further clarifications?

You can call us on +1-630-974-5490 Option:4 or 630-225-1019 or email at training@manumedisoft.com

What is Online Classroom training?

Online Classroom training for ITIL is a live training conducted via online live streaming of a class. This is often surpass ITIL certified trainer with over 10 years of labour expertise within the domain and coaching.

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Testimonials

  • I have attended many training courses in my time. Presenter was appalling, good, or superb. Please convey my thanks to Jeff, because he is in the superb bracket, a master in fact - one of the best.

    Mcmillan Raz
    SAP BI Consultant And Freelancer At Global Training
  • Training with MMS has been a great experience. Their consultant Mark have always been available to assist and bring as much value as possible to our training. Plus, we’ve received rave reviews from both business and IT users who have gone through the previous sessions. This made us to join MMS Training.

    Mahendra S Das
    SAP FICO Trainer