Hadoop Training Online

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Check with our instructor in the demo session if you want to customized the course topics.

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Jobs On Jboss

Top IT MNC such as Infosys, HCL, TCS, Wipro, etc.

Salary Range

Average salary for Developer would be INR 8.5 lakhs PA.


Basic knowledge of SQL.

Hadoop Training FAQ's!


  • Overview of Bigdata and Hadoop
  • Hadoop Ecosystem
  • Type of Data
  • Characteristics of Bigdata


  • Architecture and Components
  • Concepts(Block Storage and Replication)
  • Advanced Concepts(HA, Federation)
  • HDFS Commands
  • Hands-on/Demo for all the above topics


  • Architecture and Components
  • Difference between HDP 1.x and HDP 2.x
  • Lifecycle of Yarn Application


  • Architecture and Components
  • Working of Map-Reduce(Map Phase and Reduce Phase)
  • Wordcount problem


  • Architecture and Components
  • Data Types
  • Types of Tables
  • Types of File Formats
  • Concepts(Partitioning and Bucketing)
  • Joins(All types of joins)
  • Hands-on/Demo for all the above topics


  • Overview of Sqoop
  • Architecture and Components
  • Import tool
  • Export tool
  • Hands-on/Demo for all the above topics


  • Overview of Oozie
  • Defining oozie workflow
  • Hands-on/Demo for all the above topics
Yes, Faculty will help you at the end of the course. The instructor will share a sample resume before course completion. During course, you can seek the faculty’s help to make your CV. We’ll give you interview question answers.

We can provide you interview question answers. The course covered some real-time examples. These examples might help you.

Our training covered as many real-time examples as we can. This course may equivalent to 2-3 years of real experience. You have to work hard if you are aimed at 4+ years of experience.

Why Hadoop Training Course?

Corporations are looking for Hadoop experts & big data, with the knowledge of Hadoop ecosystem and best practices about HDFS, Map Reduce, Spark, Hive, Pig, Oozie, and Sqoop & Flume.

As organizations have realized and understood the benefits of Big Data analytics, so there is a huge demand for Hadoop professionals & Big Data.

Hadoop Training is designed to make you a certified Big Data practitioner by providing you hands-on training on Hadoop ecosystem. Our Big Data Training will help you to upgrade your fruitful career in the big data domain. To meet business objectives big data is one of the fastest growing and most promising fields in technology for applying large volumes of data. This Hadoop Training will help you kick start your fruitful career by providing you with the most in-demand professional skills in big data and analytics.

Hadoop Training Course Objectives?

The Hadoop Training big data course (big data online training), you will be required to execute real-life industry-based projects using Cloud Lab in the domains of banking, telecommunication, social media, insurance, and e-commerce. This Big Data Training course will prepare you for the Cloudera CCA175 big data.

  • Master Hadoop administration activities like cluster managing, monitoring, troubleshooting, and administration.
  • Understand Hadoop Distributed File System (HDFS) and YARN architecture.
  • To writing Spark applications learn Spark, Spark SQL, Streaming, Data Frame, RDD, Graphx, MLlib.
  • The appearance of many real-life industry-based projects which will be executed in Cloud Lab.
  • Projects which are distinct in nature telecommunication, covering banking, social media, insurance, and e-commerce domains.
  • Severe involvement of a Hadoop specialist throughout the Big Data Training to learn industry standards and best practices.
    Hadoop Distributed File System (HDFS):


    Hadoop works across packs of commodity servers. Therefore there needs to be a way to coordinate activity across the hardware. Hadoop Training can work with any distributed file system, however, the HDFS is the primary means for doing fit and is the heart of Hadoop technology. HDFS manages how data files are divided and stored in the cluster.

    Hadoop YARN:

    It would be nice if YARN could be thought as the string that contains everything together, but in an environment where terms like Oozie, tuple, and Sqoop are common, but it’s not that simple. YARN is an acronym for Another Resource Negotiator. As the full name suggests, YARN helps manage resources across the cluster environment.

    Hadoop Map Reduce:

    The “Map” in Map Reduce refers to the Map Tasks function. Map Tasks is the process of formatting data into key-value sets and assigning them to nodes for the “Reduce” function, which is executed by Reduce Tasks, where data is reduced to tuples. Both Map and Reduce Tasks use worker links to carry out their functions.

    Hadoop Common:

    Common, is also known as Hadoop Core, it is a set of utilities that support the other Hadoop components. Common is designed to give the Hadoop framework ways to manage common hardware failures.

Who Should do Hadoop Training Course?

The market for Big Data analytics is growing across the world, in Big Data architecture Hadoop Training is quickly becoming a must-know technology and this strong growth pattern translates into a great opportunity for all the IT Professionals.

Our Big Data Hadoop Course can be pursued by professional as well as fresher’s. Big Data training is best suited for:

  • IT Professionals
  • Software Developers and Architects
  • Analytics Professionals
  • Testing and Mainframe Professionals
  • Data Management Professionals
  • Business Intelligence Professionals
  • Project Manager
  • Aspiring Data Scientists
  • Individuals looking to build a career in Big Data Analytics

Projects Included in Hadoop Training Course?

SVR, Big Data & Hadoop Training

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

Project #1:

Industry: Social Media

Problem Statement: Social media marketing company is a Socio-Impact which wants to expand its business. They want to find the websites which have a low-rank web page. You will be using the dataset to appear at certain key insights.

Project #2:

Industry-: Banking

Problem Statement: A Portuguese banking institution operated a marketing campaign to convince potential customers to invest in a bank term deposit. Their marketing operations were conducted through phone calls, and sometimes the same customer was contacted more than once. Your job is to analyze and explain the data collected from the marketing campaign in Hadoop Training.

Hadoop Training Course Overview?

In Hadoop Training, courses cover not only theoretical but also live projects from industry-leading experts. We provide E-Learning programs with experienced faculties and at affordable fees structures.

Hadoop is a framework for working with big data. It is part of the big data Hadoop ecosystem, which consists of much more than Hadoop itself. Hadoop is also known as refers to the core technology that consists of the four main components described below, but it is also frequently used in reference to the entire ecosystem of supporting technologies and applications.

Hadoop Training is a framework that makes it easier to process large data sets that reside in clusters of computers. Because it is a framework, Hadoop is made up of four core modules that are supported by a large ecosystem of supporting technologies and products. The Big Data Hadoop Training course is composed to give you with high- level knowledge of the Big Data framework using Hadoop and Spark, including HDFS, YARN, and Map Reduce. This Course will prepare you to clear all Hadoop certification.

SVR Technologies is a training powerhouse offering training on varied IT Technologies, Technology consultancy services on IT technologies, SVR is a number one for IT services, Recruitment services & Training services.

Salary Trends in Hadoop?

  • The average salary for big data analytic professionals in the non-managerial role is 8.5 lakhs INR, whilst managers can earn an average of whopping 16 lakhs

For the same reason, a career in Hadoop is promising. If you have a good understanding of Hadoop fundamentals it will be a foundation for great Career in Hadoop.

The concept of gathering and storing a large amount of data is an old traditional model which is followed which in the recent present has been replaced with three V’S. Considering all these reasons, there is enough proof that there is a surge in demand for Hadoop and also Hadoop professionals to cater to all these needs and requirements.

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