Skills you will learn

  • HDFS
  • MapReduce
  • YARN components
  • Sqoop
  • Hadoop ecosystem

Who should learn

  • Aspiring data scientists
  • Project managers
  • IT professionals
  • BI professionals
  • Software developers

What you will learn

  • Getting Started with Hadoop

    • Introduction

      01:41
      • Hadoop Introduction
        01:41
    • Lesson 01: All About Big Data

      22:21
      • All About Big Data
        22:21
    • Lesson 02: Cloudera Hadoop Installation

      20:17
      • Cloudera Hadoop Installation
        20:17
    • Lesson 03: Hadoop Installation on Ubuntu

      01:05:44
      • Hadoop Installation on Ubuntu
        01:05:44
    • Lesson 04: Introduction to Hadoop

      08:59
      • Introduction to Hadoop
        08:59
    • Lesson 05: Hadoop Ecosystem & HDFS

      42:06
      • Hadoop Ecosystem and HDFS
        42:06
    • Lesson 06: Hadoop MapReduce

      01:17:19
      • Hadoop MapReduce
        01:17:19
    • Lesson 07: All About YARN

      57:27
      • All About YARN
        57:27
    • Lesson 08: All About Sqoop

      27:36
      • All About Sqoop
        27:36
    • Lesson 09: Flume and Hive

      01:19:38
      • Flume and Hive
        01:19:38
    • Lesson 10: Introduction to HBase

      26:17
      • Introduction to HBase
        26:17
    • Lesson 11: How to become a Big Data Engineer

      07:23
      • How to become a Big Data Engineer
        07:23
    • Lesson 12: Hadoop Interview Questions

      02:21:55
      • Hadoop Interview Questions
        02:21:55

Get a Completion Certificate

Share your certificate with prospective employers and your professional network on LinkedIn.

Free introductory course to Hadoop

Why you should learn

$84.6 billion by 2021 

Projected growth of the global Hadoop market 


 

$89K

Average salary of a Big Data engineer

FAQs

  • What are the prerequisites to get started with Hadoop?

    There are no prerequisites to get started with Hadoop. However, it is recommended that learners have a basic understanding of mathematics, statistics, and data science.

  • How do beginners get started with Hadoop?

    Beginners who want to get started with Hadoop can start with the fundamentals first. Once you have mastered the basics you can move on to the advanced topics.
     

  • How long does it take to study Hadoop Fundamentals?

    The Introduction to Hadoop free course consists of 10 hours of video content that will help you gain a thorough understanding.

  • Is Hadoop easy to learn?

    The videos that you find as a part of the Introduction to Hadoop course are created by mentors who are industry leaders with vast experience in the field. They are aware of the needs of different learners and have designed the Hadoop course content to be easy to learn.

  • What are the Hadoop fundamentals covered in this free course?

    The Hadoop fundamentals covered in the course include: 

    • HDFS
    • MapReduce
    • YARN components
    • Sqoop
    • Hadoop ecosystem

  • Can I complete the Introduction to Hadoop course in 90 days?

    Yes, you can complete it within 90 days.

  • Will I get a certificate after completing the Hadoop free course?

    Yes, You will receive a Course Completion Certificate from SkillUp upon completing the Hadoop free program. You can unlock it by logging in to your SkillUp account. As soon as the certificate is unlocked, you will receive a mail with a link to your SkillUp learning dashboard on your registered mail address. Click the link to view and download your certificate. You can even add the certificate to your resume and share it on social media platforms.

  • What are my next best learning options after completing the Getting Started with Hadoop course?

    After completing the Getting Started with Hadoop course, you can opt for the Big Data Engineer course provided by Simplilearn.

  • What are the career opportunities after completing the Introduction to Hadoop course?

    Common careers opportunities you can choose include:

    • Big data engineer
    • Data scientist
    • Data analyst
    • Big data developer
    • Hadoop administrator

  • Disclaimer
  • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, and OPM3 are registered marks of the Project Management Institute, Inc.