
Hadoop 101
Build your knowledge of Hadoop's architecture and core components. Explore using MapReduce and the Hadoop Distributed File System (HDFS). Learn how to modify configuration parameters.
Take an important step towards building critical skills for the fast-growing fields of big data and data science.
Hadoop 101 Highlights
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Duration
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Fee US$ 99 - US$ 199 |
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Duration
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Fee US$ 99 - US$ 199 |
Course Outline
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Once you have completed this course, you will earn your certificate.
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Course details
Certificate
- IBM Certificate
About this course
- 04 Modules
- 08 Skills
Includes
- Discussion space
- 04 Hands-on labs
- 09 Videos
- 04 Review questions
- 01 Final exam

Create
- Hadoop architecture
- Rack topology
- Hadoop nodes
Exercises to explore
- Installation of Hadoop
- Setting up your lab environment
- Hadoop architecture
- Hadoop administration
Want to know more?
Get a Free ConsultationYou'll learn with these experts
Daniel Tran
- Data Scientist, IBM
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Warren Pettit
- Instructor and Course Developer
Asma Desai
- Technical Curriculum Developer
- View on LinkedIn
Leons Petrazickis
- Senior Software Developer
- View on LinkedIn
FAQs
Hadoop is an open-source software framework for storing data and running applications on clusters of hardware. It offers immense storage for nearly any type of data, considerable processing power, and the ability to handle a high number of concurrent processes or jobs at the same time.
As the adoption of big data continues to grow, companies are increasingly looking for Hadoop professionals who are capable of interpreting and utilizing data. This means that Hadoop is a sector that provides several options to develop and advance your professional career. Put simply, therefore, it is a valuable skill to master.
You will gain a better understanding of Hadoop's architecture and fundamental components. You will investigate the use of MapReduce and the Hadoop Distributed File System (HDFS). Plus, you will learn how to make changes to configuration parameters.
This course is designed for individuals who are interested in learning about Hadoop uses and components. Individuals who already work in tech, and graduates who wish to get their foot in the door in the big data and Hadoop arena, are eligible to enroll in this Hadoop 101 course. The course is also open to experienced engineers in the big data field who want to improve their Hadoop skills.
You must be familiar with the ideas of big data. Additionally, we recommend that you have completed the Introduction to Big Data course. Knowledge of fundamental Linux administration and commands is an added plus.
You will be able to access the course materials through your dashboard as soon as you enroll in this course.
Yes, there are hands-on labs in this course. These hands-on labs assist learners in the development of problem-solving and critical-thinking abilities.
This course is self-paced, which means that you can work at a pace that suits you. It does not follow a predetermined timetable, unlike scheduled live sessions. You are free to work at your own speed if you complete the modules and the course before the deadline.
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