MapReduce and YARN
Learn about MapReduce V1. Discover the benefits and features of YARN. Plus, get hands-on practice using the IBM Analytics Engine on IBM Cloud and explore the YARN architecture in detail, including ResourceManager, ApplicationMaster, and NodeManager.
Build critical skills for processing big data and boost your data science career.
Earn your certificate
Once you have completed this course, you will earn your certificate.Preview digital certificate
- IBM Certificate
About this course
- 03 Modules
- 04 Skills
- Discussion space
- 06 Hands-on labs
- 02 Exercises
- 08 Videos
- 03 Review questions
- 01 Final exam
- Yarn Architecture
- Configure & run applications in the YARN environment
Exercises to explore
- Installation of Java
- Installation of Hadoop
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You'll learn with these experts
MapReduce is a processing framework that allows you to process large amounts of data in a distributed manner on a Hadoop cluster. YARN is ‘in charge’ of allocating resources among the applications running in a cluster.
Yes, this course will help you to build critical skills for processing big data. You will learn about MapReduce V1. You will discover the benefits and features of YARN. Plus, you will get hands-on practice using the IBM Analytics Engine on IBM Cloud and you will explore the YARN architecture in detail, including Resource Manager, Application Master, and Node Manager.
This course is suitable for big data engineers and data scientists looking to use Apache Hadoop 2.0 to improve their work efficiency. Additionally, individuals keen to build upon their big data and Hadoop skills would benefit from taking this course, as well as individuals seeking to earn an IBM Hadoop Programming – Level 1 badge.
It is highly recommended that you have taken the Big Data Foundations and Hadoop Foundations courses on SkillUp Online. Additionally, knowledge of some basic Linux administration and commands will be an added advantage.
Yes, you will be issued an IBM Certificate once you have successfully completed this course. You can upload this to your LinkedIn profile and include it on your resumé.
Yes. This course is 100% online. Moreover, it is a self-paced course, so it is not run to a fixed schedule for completing modules or submitting assignments. To give you an idea of how long the course takes to complete, it is anticipated that if you work 3-4 hours per week, you will complete the course in 2 weeks. However, as long as the course is completed by the end of your enrollment, you can work at your own pace. And don’t worry, you’re not alone! You will be encouraged to stay connected with your learning community and mentors through the course discussion space.
You will be able to access the course materials through your dashboard as soon as you enroll in this course.