Introduction to Big Data and Hadoop

The "Introduction to Big Data and Hadoop" is an ideal course package for individuals who want to understand the basic concepts of Big Data and Hadoop. On completing this course, learners will be able to interpret what goes behind the processing of huge volumes of data as the industry switches over from excel-based analytics to real-time analytics.


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  • Course Description
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Ronald van Loon

Top 10 Big Data & Data Science Influencer, Director - Adversitement

Named by Onalytica as one of the three most influential people in Big Data, Ronald is also an author for a number of leading Big Data and Data Science websites, including Datafloq, Data Science Central, and The Guardian, and he regularly speaks at renowned events.


Course Description

  • What is this course about?

    The "Introduction to Big Data and Hadoop" is an ideal course package for individuals who want to understand the basic concepts of Big Data and Hadoop. On completing this course, learners will be able to interpret what goes behind the processing of huge volumes of data as the industry switches over from excel-based analytics to real-time analytics. The course focuses on the basics of Big Data and Hadoop. It further provides an overview of the commercial distributions of Hadoop as well as the components of the Hadoop ecosystem.
  • Why the course is most sought after?

    Big Data Analytics is widely used to analyze large volumes of data. The growing need for professionals equipped with the knowledge of Big Data and Hadoop has increased opportunities for those who want to make a career in this field. Knowing the basics of Big Data and Hadoop will make it easier for such professionals to pursue advanced level courses in this subject and acquire skills to become experts in Big Data analytics. Knowledge of Big Data and Hadoop enables you to install and configure Hadoop components and manage as well as integrate large sets of unstructured data. The following examples show why you should get equipped with the knowledge of Big Data and Hadoop.

    Facebook, which is a $5.1 billion company, has over 1 billion active users! It is Hadoop that enables Facebook to manage data of such magnitude.

    Linkedin manages over 1 billion personalized recommendations every week, with the help of Hadoop''s MapReduce and HDFS features.

    The Yahoo! Search Webmap is a Hadoop application that runs on over 10,000 core Linux cluster and generates the data that is widely used in each query of Yahoo! Web search.
  • What learning benefits do you get from training?

    At the end of training in the basics of Big Data and Hadoop, the participants will:

    Understand the characteristics of Big Data

    Describe the basics of Hadoop and HDFS architecture

    List the features and processes of MapReduce

    Learn the basics of Pig, Hive and HBase

    Explore the commercial distributions of Hadoop

    Understand the key components of the Hadoop ecosystem

    Get introduced to Sqoop & ZooKeeper
  • What are the career benefits in-store for you?

    A good understanding of the basics of Big Data and Hadoop makes it easier to improve your analytic skills, thus increasing your career prospects in the Big Data analytics industry. According to Robert Half Technology, the average salary for a Hadoop certified Professional is in the range of $154,250.

    Top companies like Microsoft, Software AG, IBM, Oracle, HP, SAP, EMC2 and Dell have invested a huge $15 billion on data management and analytics, thereby increasing the number of opportunities for Big data & Hadoop certified professionals.
  • Who should do this course?

    "Introduction to Big data and Hadoop" course is meant for professionals who intend to gain a basic understanding of Big Data and Hadoop. It is ideal for professionals in senior management who requires a theoretical understanding of how Hadoop can solve their Big Data problem.

Introduction to Big Data and Hadoop Benefits

  • 3 hours of self-paced video

  • Includes 2 simulation exams

  • Includes 10 quizzes

  • Covers basics of MapReduce, Pig, Hive, HBase, Sqoop and Zookeeper


Course Content

Introduction to Big Data and Hadoop

  • Lesson 1.0 - Introduction to Big Data and Hadoop
  • Lesson 1.1 - Hive HBase and Hadoop Ecosystem Components
  • Lesson 1.2 - Quiz
  • Lesson 1.3 - Thank You

Exam and Certification

What qualifications do you need?

There are no prerequisites for this course.


I want to know more about the training program. Whom do I contact?

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Self-Paced Learning

180 days of access to high-quality, self-paced learning content designed by industry experts.

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