Become a Certified Hadoop Developer.

BIG-DATA HADOOP Training with Realtime Industry Experts.

Hadoop training with * HDFS * MapReduce * YARN * Pig * Hive * Flume * Sqoop * AWS * EMR.

Hadoop Training

Course Amount: $700

S NoStart DateAction

Hadoop Online Training 


Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. Rather than rely on hardware to deliver high-availability, the library itself is designed to detect and handle failures at the application layer, so delivering a highly-available service on top of a cluster of computers, each of which may be prone to failures.

A wide variety of companies and organizations use Hadoop for both research and production. Users are encouraged to add themselves to the Hadoop.

Learn and master development, installation, configuration and management bespoke Hadoop-platform and other associated ecosystems, including Hadoop solutions for Big Data.

KEY Highlights

Get noticed by top companies through our professional job assistance.
35 hours of in-depth training programs with realtime scenarions.
Get trained by the highly experienced certified industry experts.
Upgraded sylabus with Industry oriented concepts for in-depth knowledge.
15+ In- demand tools & skills will help in  Technical Assistance.
Every session will be live and provides you hands-on experience training.

Training Advantages

35 contact hours

Industry case studies

Hands-on Projects

Real time training

Course Outcomes

Core Concepts

Core computer science concepts from leading industry experts. 

Application Testing

Build an end-to-end application and test it with exciting features.


Earn an industry-recognized course completion certificate.

Hadoop Certification Course Contents

Hadoop Online training-Complete Course Details HDFS and MapReduce

  • What is Hadoop?
  • Why Hadoop?
  • Core Components of Hadoop
  • Intro to HDFS and its Architecture
  • Difference b/w Code Locality and Data Locality HDFS commands
  • Name Node’s Safe Mode Different Modes of Hadoop Intro to MapReduce Versions of HADOOP
  • What is Daemon? Hadoop Daemons? What is the Name Node? What is a Data Node?
  • What is Secondary name Node? What is Job Tracker?
  • What is Task Tracker?
  • What is Edge computer in Hadoop Cluster and Its role Read/Write operations in HDFS
  • Complete Overview of Hadoop1.x and Its architecture Rack awareness
  • Introduction to the Block size
  • Introduction to Replication Factor(R.F)

Introduction to HeartBeat Signal/Pulse Introduction to Block report MapReduce Architecture

  • What is the Mapper phase?
  • What is the shuffle and sort phase? What is Reducer phase?
  • What is split?
  • Difference between Block and split

Intro to first Word Count program using MapReduce Different classes for running MapReduce program using

  • Mapper class
  • Reducer Class and Its role Driver class
  • Submitting the Word Count MapReduce program Going through the Jobs system output
  • Intro to Partitioner with example Intro to Combiner with example Intro to Counters and its types Different types of counters
  • Different types of input/output formats in HADOOP Use cases for HDFS & MapReduce programs using Java Single Node cluster Installation
  • Node Manager Application Master(AM)
  • Applications Manager(ASM) Journal Nodes
  • Difference Between Hadoop1.x and Hadoop2.x High Availability(HA)
  • PIG

  • Intro to PIG Why PIG?
  • The difference between MapReduce and PIG When to go with MapReduce?
  • When to go with PIG? PIG data types
  • What is a field in PIG? What is a tuple in PIG? What is Bag in PIG? Intro to Grunt shell? Different modes in PIG Local Mode MapReduce mode Running PIG programs PIG Script
  • Intro to PIG UDFs
  • Writing PIG UDF using Java Registering PIG UDF Running PIG UDF
  • Different types of UDFs in PIG
  • Word Count program using PIG script Use cases for PIG scripts
  • HIVE

  • Intro to HIVE Why HIVE?
  • History of HIVE
  • Difference between PIG and HIVE HIVE data types
  • Complex data types
  • What are Metastore and its importance? Different types of tables in HIVE Managed tables
  • External tables Running HIVE queries
  • Intro to HIVE partitions Intro to HIVE Buckets
  • How to perform the JOINS using HIVE queries Intro to HIVE UDFs
  • Different types of UDFs in HIVE

  • Intro to HBASE
  • Intro to NoSQL database
  • Sparse and dense Concept in RDBMS
  • Intro to columnar/column-oriented database Core architecture of HBase
  • Why Hbase? HDFS vs HBase
  • Intro to Regions, Region server and Hamster Limitations of Hbase
  • Integration with Hive and Hbase Hbase commands
  • Use cases for HBASE

  • Intro to Flume
  • Intro to Sink, Source, Flume Master and Flume agents Importance of Flume agents
  • Live Demo on copying LOG DATA into HDFS

  • Intro to Sqoop
  • Importing and exporting the RDBMS into HDFS Intro to incremental imports and its types
  • • Using the equals() Method with

    Intro to Zookeeper Zookeeper operations


  • Intro to Oozie
  • What is What is workflow.xml Scheduling the jobs in Oozie
  • Scheduling MapReduce, HIVE, PIG jobs/Programs using Oozie.
  • Setting up the VMware for Hadoop Installing all Hadoop Components Intro to Hadoop Distributions
  • Intro to Cloudera and its major components

  • Getting started With Scala.
  • Scala Background, Scala Vs Java Introduction to Scala – REPL
  • Scala data types, variables, simple functions. Intro to Scala compiler
  • Installing Scala on Linux
  • Intro to Functional Programming Language Differences between OOPS and FPP
  • Word count PGM, file handling Running Scala script
  • Intro to Maps, Sets, groupBy, Options, flatten, flatMap and more

  • What is Spark Ecosystem
  • Batch vs real-time data processing Intro to Spark Architecture Installing Scala on Linux
  • Scala utility in Spark Spark Cluster Managers
  • Spark -Standalone mode Installation Spark on YARN
  • Spark on MESOS What is SparkContext Intro to RDDs
  • Intro to DAG
  • RDD’s lineage
  • How to work on RDD in Spark
  • What is transformations and Actions Intro to Spark Streaming(SS)
  • Intro to Discretized Streams RDD
  • Applying Transformations and Actions on Streaming data Intro to Spark Streaming Architecture
  • Applying transformations and Actions on SS data How to run a Spark Cluster
  • Comparison of MapReduce vs Spark Integration of Hadoop and Spark

  • Tableau Fundamentals Tableau Analytics Visual Analytics
  • Creating different types of WorkSheets, Dashboards and Stories.
  • Hadoop Training FAQ’S


    Can I avail free counselling from the trainer?

    Yes. Course counselling would pave a way for the trainers to understand your needs and the trainees to understand the trainer’s offerings. It is smart enough to avail before enrolling for the course.

    How does a Hadoop Training course could benefit you?

    Gaining Expertise

    You definitely need a professional training course to earn adequate knowledge to become Hadoop professional and to fluently work with Hadoop systems.


    While you can find multiple training institutes listed above, you can enjoy the convenience of choosing the best trainer suiting your needs and requirements.


    Given that every Hadoop training course is accompanied with facilities to customize in accordance with the requests from the trainee in terms of syllabus, course duration and training modes.


    At the end of the Hadoop training course, you can get certified by the respective training institute for successful completion. You can showcase this training certification in your resume to convince the recruiters on your attendance to Hadoop professional training. In addition to that, you can also avail excellent assistance to attend the expert-level certifications from providers like Cloudera, Hortonworks and MapR, etc.

    Employment Opportunities

    Being a professional training course provider, the institute you’re enrolling here is probably facilitated with dedicated placement assistance team and tie-ups with top companies’ recruitment department to help you get employed as a Hadoop professional.

    Is expertise in Java a prerequisite for this course?

    Yes. Selenium training requires a student to be well-versed in Java fundamentals. However, our lecturers will help you brush up your Java skills in case you have not used them for a long time or have lost touch with the concepts.

    Will there be practical sessions?

    Yes. The training course will include a range of practical sessions during which the student will be able to test his or her progress on a real-time basis. We will provide you with a Java environment with required system setups with the Selenium Webdriver program pre-installed. You will be able to exercise the learning from the course and understand the actual functioning of the program with ease.

    Which training platform is best for learning Hadoop?

    As the world is moving towards a cloud platform, the evolution and demand for Hadoop have arisen. In a similar context, learning Hadoop is made easier than ever before. Depending on your need and comfort, you can opt for an either in-class or online or virtual training platform.

    Online Training:

    If you’d like to use flexible timing and place to learn Hadoop, you can go for online training course where you’d be provided with every learning materials and course guidance resources right at your computer. 

    In-Class Training:

    If you’re a person of classroom training type and expect on-the-spot answers to your doubts and practical exposure and explanations from the trainer, you should go with in-class training from the training provider who’s located nearby.

    Virtual Training:

    This advanced type of training is perfect for someone who’s looking for in-class training features at their computer screen.

    If an organization doesn't do big data, does it need Hadoop?

    Hadoop is a distributed data processing platform not just for big data. Following are the highlights of Hadoop that any organizations should make use of.

    (i) Easier Data Processing, Management, and Analysis – With the help of Hadoop, the data stored in the warehouse can be structured, processed and transformed to enable easier data management, processing and analysis.

    (ii) Data Archiving – Business data can be archived for years with the help of Hadoop. The data can be stored in multiple versions such as raw, native and modified data. Thanks to the inexpensive commodity hardware used by Hadoop.

    (iii) Easier access to any data – Once the data is stored using the Hadoop system, the access to such data stored is made much easier and effective.[learn_more caption=”

    What is the Career scope of Hadoop?

    Fact #1 – The data used by corporate companies across the world is growing at a rate of 27% every year. This rapid phase is expected to further increase.

    Fact #2 – In most countries, corporate companies should maintain business data for at least 7 years in order to comply with the rules.

    Fact #3 – Almost every business around the world is desperate to process and analyze their organizational data timely and cost-effectively.

    Fact #4 – Apache Hadoop is an open-source (free) and revolutionary distributed data processing system that uses commodity storage hardware to store and process the data. The competing distributed data processing systems are either expensive or less efficient.

    Thus, we can conclude that the demand for Hadoop is going to be constant and so the demand for Hadoop professionals be. To prove the above statement, several leading organizations and global businesses like DELL, AWS (Amazon Web Services), MAPR, Horton works, IBM are using Hadoop system in their organize and manage the data effectively.

    What is the Salary of a Hadoop professional?

    According to Indeed (#1 job site holding 94% of global DP), the average salary paid to Hadoop professionals is around $102,000. This salary increases to those who possess years of experience and expertise in Hadoop technology.

    Do I get any certificate after training?

    Yes, every training course you’re enrolled at this page would guarantee you a certification for training availed. Since every institute is authorized to provide training and education, certification after the training course would help you to convince the recruiters that you’ve gone through proper training.

    How do I register for a certification exam?

    Before registering for a course, you need to choose the respective Certification providers. MapR and Hortonworks are the most valued certification providers. Following steps would help you to register for their certification exams.

    To register for the Certification exam,

    (i) Choose the type of certification listed at the page and complete the registration procedure to receive instructions through email.

    (ii) Log in to your email which you’ve used in above registration. You would be asked to create an account on the Examslocal website. Follow the account creation link in the mail and use the same email Id to register for a new account in Examslocal.

           Request for more info

    Customer Testimonials

    Nothing makes us happier than satisfied clients. Let us share some successful client stories with you.

    This is an excellent practical course, giving the opportunity to get acquainted with both theoretical and practical work in Business Analysis.

    Henry James


    The best training professionals I found for automation testing training, faculties are highly experienced, explained every concept in-depth with real-time project scenarios.


    San Diego

    Happy to start off my selenium career here, this is by the far the best institute I have ever got for Selenium. Very eloquent tutorial. Outstanding Training with great examples.



    Call Now!
    Enquire Now
    close slider