Welcome to the Apache Hadoop and YARN course! This course is designed for individuals who want to learn about Apache Hadoop and YARN, two of the most important technologies used in big data processing.
Throughout this course, you will learn about the fundamentals of Apache Hadoop, including its architecture, components, and ecosystem. You will also learn about YARN, which is a resource management platform used in Hadoop clusters.
The course is divided into several modules, each covering a specific topic. In addition to lectures, each module includes hands-on exercises to help you reinforce your learning. By the end of the course, you will have a solid understanding of Apache Hadoop and YARN, and be able to use these technologies to process large amounts of data.
We hope you enjoy this course and find it helpful in your journey to becoming a big data expert!
What Will You Learn?
- Hadoop Architecture
- HDFS main components and each component role
- How HDFS read, and write operation works
- High Availability in HDFS
- YARN Archiecture
- YARN Components
- How YARN applications works
- Install and configure HDFS and YARN
Scale Vertically (Scale Up)06:00
Bring Processing to Data03:00
Writing to HDFS12:00
Reading from HDFS12:00
Name Node Internals09:00
Map Reduce Introduction09:00
Map Reduce | Part 211:00
Map Reduce | Part 306:00
Map Reduce Version 106:00
Map Reduce Version 1 | Continue05:00
HDFS – Labs
Lab 1 : Install Single Node Hadoop Cluster20:00
Lab 2: getconf command02:00
Lab 3: Manager Directories03:00
Lab 4: Manage Files13:00
What is YARN ?10:00
YARN Scheduler – FIFO03:00
YARN Scheduler – Capacity04:00
YARN Scheduler – Fair Scheduler02:00
YARN Applications Deep Dive07:00
Student Ratings & Reviews
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