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DEMO - Hadoop YARN
DEMO - Hadoop YARNBig Data Courses |
| Categories | Most Recent | Top Rated | Popular Courses |
 | Uploader | Date Added | Views | Rating |
| Superadmin | 10.03.16 | 627 | No Rating | |
| Description | ||||
| Follow along with our expert instructor in this training course to get: Concise, informative and broadcast-quality Introduction to Hadoop YARN training videos delivered to your desktop The ability to learn at your own pace with our intuitive, easy-to-use interface A quick grasp of even the most complex Introduction to Hadoop YARN subjects because they're broken into simple, easy to follow tutorial videos Practical working files further enhance the learning process and provide a degree of retention that is unmatched by any other form of Introduction to Hadoop YARN tutorial, online or offline... so you'll know the exact steps for your own projects. In this Introduction to Hadoop YARN training course, expert author David Yahalom will teach you everything you need to know about YARN. This course is designed for the absolute beginner, meaning no experience with YARN is required. You will start by learning about the core Hadoop components, including map/reduce. From there, David will teach you about the YARN components and architecture. Finally, this video tutorial will cover scheduling, running, and monitoring applications in YARN, including running jobs in YARN, failure handling, YARN logs, and YARN cluster resource allocation. Once you have completed this computer based training course, you will have learned everything you need to know to get started with YARN. 01. Introduction Course Agenda And Instructor 0102 How To Access Your Working Files 02. Core Hadoop Components Basic Overview Of Hadoop Core Components: HDFS 0202 Hadoop Core Components Overview 0203 What Is Map/Reduce? 03. YARN: Components And Architecture 0301 Pre-YARN Architecture 0302 YARN Architecture And Daemons 04. Scheduling, Running And Monitoring Applications In YARN 0401 Running Jobs In YARN 0402 YARN Parameters 0403 YARN Cluster Resource Allocation 0404 Failure Handling 0405 YARN Logs 0406 Hands On With YARN 05. Conclusion 0501 Summary | ||||
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