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Big Data Hadoop Certification Training

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100 students enrolled

Course Duration

10 week

About Annex IT

Annex IT is a leading e-learning platform providing live instructor-led interactive online training. We

cater to professionals and students across the globe in categories like Big Data & Hadoop, Business

Analytics, NoSQL Databases, Java & Mobile Technologies, System Engineering, Project Management

and Programming. We have an easy and affordable learning solution that is accessible to millions of

learners across the globe.

Big Data & Hadoop Course Description

About Hadoop Training

Hadoop is an Apache project (i.e. an open-source software) to store & process Big Data. Hadoop stores Big Data in a distributed & fault-tolerant manner over commodity hardware. Afterward, Hadoop tools are used to perform parallel data processing over HDFS (Hadoop Distributed File System).
As organizations 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.
Edureka Hadoop 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 a stepping stone to your Big Data journey and you will get the opportunity to work on various Big data projects.

What are the objectives of our Big Data Hadoop Online Course?

Big Data Hadoop Certification Training is designed by industry experts to make you a Certified Big
Data Practitioner. The Big Data Hadoop course offers:

    • In-depth knowledge of Big Data and Hadoop including HDFS (Hadoop Distributed File System),
      YARN (Yet Another Resource Negotiator) & MapReduce.
    • Comprehensive knowledge of various tools that fall in Hadoop Ecosystem like Pig, Hive, Sqoop,
      Flume, Oozie, and HBase.
    • The capability to ingest data in HDFS using Sqoop & Flume, and analyze those large datasets
      stored in the HDFS.
    • The exposure to many real-world industry-based projects which will be executed in Edureka’s
    • Projects which are diverse in nature covering various data sets from multiple domains such as
      banking, telecommunication, social media, insurance, and e-commerce.
    • Rigorous involvement of a Hadoop expert throughout the Big Data Hadoop Training to learn
      industry standards and best practices.

Why should you go for Big Data Hadoop Online Training?

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 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 the 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.

What are the skills that you will be learning with our Big Data ?

Hadoop Certification Training?
Big Data Hadoop Certification Training will help you to become a Big Data expert. It will hone your skills by offering you comprehensive knowledge on Hadoop framework, and the required hands-on experience for solving real-time industry-based Big Data projects. During Big Data & Hadoop course you will be trained by our expert instructors to:

  • Master the concepts of HDFS (Hadoop Distributed File System), YARN (Yet Another Resource Negotiator), & understand how to work with Hadoop storage & resource management.
  • Understand MapReduce Framework
  • Implement complex business solution using MapReduce
  • Learn data ingestion techniques using Sqoop and Flume
  • Perform ETL operations & data analytics using Pig and Hive
  • Implementing Partitioning, Bucketing and Indexing in Hive
  • Understand HBase, i.e a NoSQL Database in Hadoop, HBase Architecture & Mechanisms
  • Integrate HBase with Hive
    Schedule jobs using Oozie
  • Implement best practices for Hadoop development
  • Understand Apache Spark and its Ecosystem
  • Learn how to work with RDD in Apache Spark
  • Work on real world Big Data Analytics Project
  • Work on a real-time Hadoop cluster

Who should take this course?

The market for Big Data analytics is growing across the world and this strong growth pattern translates into a great opportunity for all the IT Professionals.Hiring managers are looking for certified Big Data Hadoop professionals. Our Big Data & Hadoop Certification Training helps you to grab this opportunity and accelerate your career. Our Big Data Hadoop Course can be pursued by professional as well as freshers. It is best suited for:

  • Software Developers, Project Managers
  • Software Architects
  • ETL and Data Warehousing Professionals
  • Data Engineers
  • Data Analysts & Business Intelligence Professionals
  • DBAs and DB professionals
  • Senior IT Professionals
  • Testing professionals
  • Mainframe professionals
  • Graduates looking to build a career in Big Data Field

For pursuing a career in Data Science, knowledge of Big Data, Apache Hadoop & Hadoop tools are necessary. Hadoop practitioners are among the highest paid IT professionals today with salaries ranging around $97K (source: payscale), and their market demand is growing rapidly.

How will Big Data and Hadoop Training help your career?

The below predictions will help you in understanding the growth of Big Data:

  • Hadoop Market is expected to reach $99.31B by 2022 at a CAGR of 42.1% –
  • Forbes McKinsey predicts that by 2018 there will be a shortage of 1.5M data experts
  • Average Salary of Big Data Hadoop Developers is $97k

Organisations are showing interest in Big Data and are adopting Hadoop to store & analyse it. Hence, the demand for jobs in Big Data and Hadoop is also rising rapidly. If you are interested in pursuing a career in this field, now is the right time to get started with online Hadoop Training.

What are the pre-requisites for Edureka's Hadoop Training Course?

There are no such prerequisites for Big Data & Hadoop Course. However, prior knowledge of Core Java and SQL will be helpful but is not mandatory. Further, to brush up your skills, Edureka offers a complimentary self-paced course on “Java essentials for Hadoop” when you enroll for the Big Data and Hadoop Course.

    Big Data & Hadoop Course Curriculum

    Understanding Big Data and Hadoop

    Learning Objectives: In this module, you will understand what Big Data is, the limitations of the traditional solutions for Big Data problems, how Hadoop solves those Big Data problems, Hadoop Ecosystem, Hadoop Architecture, HDFS, Anatomy of File Read and Write & how MapReduce works.


    • Introduction to Big Data & Big Data Challenges
    • Limitations & Solutions of Big Data Architecture
    • Hadoop & its Features
    • Hadoop Ecosystem
    • Hadoop 2.x Core Components
    • Hadoop Storage: HDFS (Hadoop Distributed File System)
    • Hadoop Processing: MapReduce Framework
    • Different Hadoop Distributions

    Learning Objectives: In this module, you will learn Hadoop Cluster Architecture, important

    configuration files of Hadoop Cluster, Data Loading Techniques using Sqoop & Flume, and how to

    setup Single Node and Multi-Node Hadoop Cluster.


    • Hadoop 2.x Cluster Architecture
    • Federation and High Availability Architecture
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    • 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

    Learning Objectives: In this module, you will understand the Hadoop MapReduce framework comprehensively, the working of MapReduce on data stored in HDFS. You will also learn the advanced MapReduce concepts like Input Splits, Combiner & Partitioner.


    • Traditional way vs MapReduce way
    • Why MapReduce
    • YARN Components
    • YARN Architecture
    • YARN MapReduce Application Execution Flow
    • YARN Workflow
    • Anatomy of MapReduce Program
    • Input Splits, Relation between Input Splits and HDFS Blocks
    • MapReduce: Combiner & Partitioner
    • Demo of Health Care Dataset
    • Demo of Weather Dataset

    Learning Objectives: In this module, you will learn Advanced MapReduce concepts such as Counters, Distributed Cache, MRunit, Reduce Join, Custom Input Format, Sequence Input Format and XML parsing.


    • Counters
    • Distributed Cache
    • MRunit
    • Reduce Join
    • Custom Input Format
    • Sequence Input Format
    • XML file Parsing using MapReduce

    Learning Objectives: In this module, you will learn Apache Pig, types of use cases where we can use Pig, tight coupling between Pig and MapReduce, and Pig Latin scripting, Pig running modes, Pig UDF, Pig Streaming & Testing Pig Scripts. You will also be working on the healthcare dataset.


    • Introduction to Apache Pig
    • MapReduce vs Pig
    • Pig Components & Pig Execution
    • Pig Data Types & Data Models in Pig
    • Pig Latin Programs
    • Shell and Utility Commands
    • Pig UDF & Pig Streaming
    • Testing Pig scripts with Punit
    • Aviation use-case in PIG
    • Pig Demo of Healthcare Dataset

    Learning Objectives: This module will help you in understanding Hive concepts, Hive Data types,loading and querying data in Hive, running hive scripts and Hive UDF.


    • Introduction to Apache Hive
    • Hive vs Pig
    • Hive Architecture and Components
    • Hive Metastore
    • Limitations of Hive
    • Comparison with Traditional Database
    • Hive Data Types and Data Models
    • Hive Partition
    • Hive Bucketing
    • Hive Tables (Managed Tables and External Tables)
    • Importing Data
    • Querying Data & Managing Outputs
    • Hive Script & Hive UDF
    • Retail use case in Hive
    • Hive Demo on Healthcare Datas

    Learning Objectives: In this module, you will understand advanced Apache Hive concepts such as UDF, Dynamic Partitioning, Hive indexes and views, and optimizations in Hive. You will also acquire indepth knowledge of Apache HBase, HBase Architecture, HBase running modes and its components.


    • Hive QL: Joining Tables, Dynamic Partitioning
    • Custom MapReduce Scripts
    • Hive Indexes and views
    • Hive Query Optimizers
    • Hive Thrift Server
    • Hive UDF
    • Apache HBase: Introduction to NoSQL Databases and HBase
    • HBase v/s RDBMS
    • HBase Components
    • HBase Architecture
    • HBase Run Modes
    • HBase Configuration

    Learning Objectives: This module will cover advance Apache HBase concepts. We will see demos on HBase Bulk Loading & HBase Filters. You will also learn what Zookeeper is all about, how it helps in monitoring a cluster & why HBase uses Zookeeper.


    • HBase Data Model
    • HBase Shell
    • HBase Client API
    • Hive Data Loading Techniques
    • Apache Zookeeper Introduction
    • ZooKeeper Data Model
    • Zookeeper Service
    • HBase Bulk Loading
    • Getting and Inserting Data
    • HBase Filters

    Learning Objectives: In this module, you will learn what is Apache Spark, SparkContext & Spark Ecosystem. You will learn how to work in Resilient Distributed Datasets (RDD) in Apache Spark. You will be running application on Spark Cluster & comparing the performance of MapReduce and Spark.


    • What is Spark
    • Spark Ecosystem
    • Spark Components
    • What is Scala
    • Why Scala
    • SparkContext
    • Spark RDD

    Learning Objectives: In this module, you will understand how multiple Hadoop ecosystem components work together to solve Big Data problems. This module will also cover Flume & Sqoop demo, Apache Oozie Workflow Scheduler for Hadoop Jobs, and Hadoop Talend integration.


    • Oozie
    • Oozie Components
    • Oozie Workflow
    • Scheduling Jobs with Oozie Scheduler
    • Demo of Oozie Workflow
    • Oozie Coordinator
    • Oozie Commands
    • Oozie Web Console
    • Oozie for MapReduce
    • Combining flow of MapReduce Jobs
    • Hive in Oozie
    • Hadoop Project Demo
    • Hadoop Talend Integration

    1) Analyses of an Online Book Store

    1. Find out the frequency of books published each year. (Hint: Sample dataset will be provided)
    2. Find out in which year the maximum number of books were published
    3. Find out how many books were published based on ranking in the year 2002.

    Sample Dataset Description
    The Book-Crossing dataset consists of 3 tables that will be provided to you. 

    2) Airlines Analysis

    1. Find list of Airports operating in Country India
    2. Find the list of Airlines having zero stops
    3. List of Airlines operating with code share
    4. Which country (or) territory having highest Airports
    5. Find the list of Active Airlines in United state

    Sample Dataset Description

    In this use case, there are 3 data sets. Final_airlines, routes.dat, airports_mod.dat

    Which projects will be a part of this Big Data Hadoop Online

    Training Course?

    Edureka’s Big Data & Hadoop Training includes multiple real-time, industry-based projects, which will hone your skills as per current industry standards and prepare you for the upcoming Big Data roles & Hadoop jobs.


    Project #1:

    Industry: Stock Market

    Problem Statement

    TickStocks, a small stock trading organization, wants to build a Stock Performance System. You have

    been tasked to create a solution to predict good and bad stocks based on their history. You also have

    to build a customized product to handle complex queries such as calculating the covariance between

    the stocks for each month.


    Project #2:

    Industry: Health-Care

    Problem statement

    MobiHeal is a mobile health organization that captures patient’s physical activities, by attaching

    various sensors on different body parts. These sensors measure the motion of diverse body parts like

    acceleration, the rate of turn, magnetic field orientation, etc. You have to build a system for effectively

    deriving information about the motion of different body parts like chest, ankle, etc.


    Project #3:

    Industry: Social Media

    Problem Statement:

    Socio-Impact is a social media marketing company which wants to expand its business. They want to find the websites which have a low rank web page. You have been tasked to find the low-rated links based on the user comments, likes etc. 

    Project #4:

    Industry: Retail

    Problem Statement:

    A retail company wants to enhance their customer experience by analysing the customer reviews for different products. So that, they can inform the corresponding vendors and manufacturers about the product defects and shortcomings. You have been tasked to analyse the complaints filed under each product & the total number of complaints filed based on the geography, type of product, etc. You also have to figure out the complaints which have no timely response.


    Project #5:

    Industry: Tourism

    Problem Statement:

    A new company in the travel domain wants to start its business efficiently, i.e. high profit for low TCO. They want to analyze & find the most frequent & popular tourism destinations for their business. You have been tasked to analyze top tourism destinations that people frequently travel & top locations from where most of the tourism trips start. They also want you to analyze & find destinations with costly tourism packages.


    Project #6:

    Industry: Aviation

    Problem Statement:

    A new airline company wants to start their business efficiently. They are trying to figure out the possible market and its competitors. You have been tasked to analyze & find the most active airports with the maximum number of flyers. You also have to analyze the most popular sources & destinations, with the airline companies operating between them.


    Project #7:

    Industry: Banking and Finance

    Problem Statement:

    A finance company wants to evaluate its users, on the basis of loans they have taken. They have

    hired you to find the number of cases per location and categorize the count with respect to the reason

    for taking a loan. Next, they have also tasked you to display their average risk score.


    Project #8:

    Industry: Media & Entertainment

    Problem Statement:

    A new company in Media and Entertainment domain wants to outsource movie ratings & reviews. They want to know the frequent users who is giving review and rating consistently for most of the movies. You have to analyze different users, based on which user has rated the most number of movies, their occupations & their age-group.

    What are the system requirements for this Hadoop Training?

    You don’t have to worry about the system requirements as you will be executing your practicals on a Cloud LAB environment. This environment already contains all the necessary software that will be required to execute your practicals.


    What is CloudLab?

    CloudLab is a cloud-based Hadoop and Spark environment that Edureka offers with the Hadoop Training course where you can execute all the in-class demos and work on real-life Big Data Hadoop projects in a fluent manner. This will not only save you from the trouble of installing and maintaining Hadoop or Spark on a virtual machine but will also provide you an experience of a real Big Data and Hadoop production cluster. You’ll be able to access the CloudLab via your browser which requires minimal hardware configuration. In case, you get stuck in any step, our support ninja team is ready to assist 24×7.

    You will execute all your Big Data Hadoop Course Assignments/Case Studies on your Cloud LAB environment whose access details will be available on your LMS. You will be accessing your Cloud LAB environment from a browser. For any doubt, the 24*7 support team will promptly assist you

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Course Features

  • Duration 60h
  • Max Students Unlimited
  • Certificate Yes
  • Skill Advance
  • Category Big Data

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