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Hadoop Fundamentals Online Course

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Hadoop Fundamentals Online Course


If you are interested in Big Data technologies, but you are unaware of the basics of Hadoop history this course will come in highly useful. The Hadoop Fundamentals course is perfect if you want to get certified and get to a high-level, high-paying IT job. IT trends keep changing and IT professionals must keep up with the newest techniques and development. The goal is to keep abreast of the newest trends and ride the waves. The course will enable you to become a developer, administrator or data processor in Hadoop

The Hadoop Fundamentals course will teach learners Hadoop impacts people and businesses. It is an essential fundamental of understanding Hadoop as a solution.

Understand the difference between data engineering and data science which is what Hadoop is based on. The course is internationally recognised and accredited to a training organisation and you will be issued an internationally recognised qualification following full completion of Hadoop Fundamentals course.

Why consider 1Training?

As improvements and advancements are made in technology, online courses are no longer just conventional means of studying at affordable costs. In many aspects online training offers superiority to traditional learning. There is an effectiveness and convenience that traditional learning cannot provide. The overall convenience and flexibility makes it a superior learning method.

1Training offers the most convenient path to gain an internationally recognised qualification that will give you the opportunity to put into practice your skill and expertise in an enterprise or corporate environment. You can study at your own pace at 1Training and you will be provided with all the necessary material, tutorials, qualified course instructor and multiple free resources which include Free CV writing pack, Nus Discounted Card, Free career support and course demo to make your learning experience enriching and more rewarding.

Learning Outcomes

  • Gain an understanding of the code of programmes.
  • Learn the Hadoop fundamentals.
  • Gain an understanding of strong MapReduce.
  • Learn why Hadoop magic is unique and powerful.
  • Learn the fundamentals of Big Data, and understanding Big Data problems.

Course Titles

  • Module 01: Hadoop Architecture
  • Module 02: ETL and MapReduce

Access Duration

The course will be directly delivered to you, and you have 12 months access to the online learning platform from the date you joined the course.  The course is self-paced and you can complete it in stages, revisiting the lectures at anytime.

Who is this Course aimed at?

  • The course is aimed at individuals who are enthusiasts of Big Data.
  • Those who want to acquire knowledge on Hadoop and become certified.
  • Anyone interested in learning new trends and technologies.

Entry Requirements

  • The course is for individuals with an interest in the technical field of Big Data
  • For those with an interest in new technology Hadoop

Method of Assessment

At the end of the Hadoop Fundamentals course you will be required to take a multiple choice question assessment test. The multiple choice question assessment will be automatically marked with learners receiving an instant grade.


Those who successfully complete the exam will be awarded the certificate in Hadoop Fundamentals.

Awarding Body

The certificate will be awarded by CPD and iAP. This internationally recognised qualification will make your CV standout and encourage employers to see your motivation at expanding your skills and knowledge in the IT enterprise.

Progression and Career Path

Once you successfully complete Hadoop Fundamentals you will be qualified to work in the following position. The Hadoop Fundamentals qualification will also put you in line to demand a higher salary or job promotion. The average US$ salary per annum according to  is given below.

  • Big Data Hadoop Developer- $107,015 per annum

According to

  • Project Manager – £42,549 per annum
  • Data Scientist £35,317 per annum
  • Software Developer – £30,651 per annum
  • Business Analyst – £35,543 per annum

Other Benefits

  • Written and designed by the industry’s finest expert instructors with over 15 years of experience
  • Repeat and rewind all your lectures and enjoy a personalised learning experience
  • Gain access to quality video tutorials
  • Unlimited 12 months access from anywhere, anytime
  • Excellent Tutor Support Service (Monday to Friday)
  • Save time and money on travel
  • Learn at your convenience and leisure
  • Quizzes, tests mock exams, practice exams to ensure you are 100% ready
  • Eligible for a NUS discount card

Key Features

Gain an accredited UK qualification

Access to excellent quality study materials

Learners will be eligible for TOTUM Discount Card

Personalized learning experience

One year’s access to the course

Support by phone, live chat, and email

Course Curriculum Total Units : 26
➤ Module 01: Hadoop Architecture
1.0 Topic A: Prerequisites - Part 1
1.1 Prerequisites – Part 2
1.2 Prerequisites – Part 3
2.0 Topic B: Introduction - Part 1
2.1 Introduction – Part 2
2.2 Introduction – Part 3
3.0 Topic C: History - Part 1
3.1 History – Part 2
3.2 History – Part 3
4.0 Topic D: Architecture - Part 1
4.1 Architecture – Part 2
4.2 Architecture – Part 3
5.0 Topic E: Ecosystems - Part 1
5.1 Ecosystems – Part 2
5.2 Ecosystems – Part 3
6.0 Topic F: Data Delivery in Hadoop - Part 1
6.1 Data Delivery in Hadoop – Part 2
6.2 Data Delivery in Hadoop – Part 3
7.0 Topic G: HDFS Basics - Part 1
7.1 HDFS Basics – Part 2
7.2 HDFS Basics – Part 3
➤ Module 02: ETL and MapReduce
1.0 Topic A: Big Data Sources And ETL - Part 1
1.1 Big Data Sources And ETL – Part 2
1.2 Big Data Sources And ETL – Part 3
2.0 Topic B: ETL Demonstration - Part 1
2.1 ETL Demonstration – Part 2
2.2 ETL Demonstration – Part 3
3.0 Topic C: Understanding MapReduce - Part 1
3.1 Understanding MapReduce – Part 2
3.2 Understanding MapReduce – Part 3
4.0 Topic D: MapReduce Demonstration - Part 1
4.1 MapReduce Demonstration – Part 2
4.2 MapReduce Demonstration – Part 3
5.0 Topic E: Developing MapReduce - Part 1
5.1 Developing MapReduce – Part 2
5.2 Developing MapReduce – Part 3
6.0 Topic F: Schedule MapReduce - Part 1
6.1 Schedule MapReduce – Part 2
6.2 Schedule MapReduce – Part 3
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