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.
2 weeks, online
3-4 hours/week
Once you have completed this course, you will earn your certificate.
We believe every learner is an individual and every course is an opportunity to build job-ready skills. Through our human-centered approach to learning, we will empower you to fulfil your professional and personal goals and enjoy career success.
1-on-1 mentoring, live classes, webinars, weekly feedback, peer discussion, and much more.
Hands-on labs and projects tackling real-world challenges. Great for your resumé and LinkedIn profile.
Designed by the industry for the industry so you can build job-ready skills.
Competency building and global certifications employers are actively looking for.
IBM Certificate
04 Modules
08 Skills
Discussion space
04 Hands-on labs
09 Videos
04 Review questions
01 Final exam
Hadoop architecture
Rack topology
Hadoop nodes
Installation of Hadoop
Setting up your lab environment
Hadoop architecture
Hadoop administration
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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.
IBM Certificate
04 Modules
08 Skills
Discussion space
04 Hands-on labs
09 Videos
04 Review questions
01 Final exam
Hadoop architecture
Rack topology
Hadoop nodes
Installation of Hadoop
Setting up your lab environment
Hadoop architecture
Hadoop administration
Subscribe to get the latest tech career trends, guidance, and tips in your inbox.