Instructor-led lecture/discussion, with approximately 50% of the course being devoted to hands-on labs.
Students should be experienced Java developers who have attended HDP Developer: Java OR HDP Developer: Pig and HiveOR are experienced with Hadoop and MapReduce development.
Architects, software developers, analysts and data scientists who need to apply data science and machine learning on Hadoop .
Hortonworks University provides an immersive and valuable real world experience in scenario-based training Courses. Our classes are available both in classroom or online, from anywhere in the world.
At the completion of the course students will be able to:
Describe the YARN architecture
Describe the YARN application lifecycle
Write a YARN client application
Run a YARN application on a Hadoop cluster
Monitor the status of a running YARN application
View the aggregated logs of a YARN application
Configure a ContainerLaunchContext
Use a LocalResource to share application files across a cluster
Write a YARN ApplicationMaster
Describe the differences between synchronous and asynchronous ApplicationMasters
Allocate Containers in a cluster
Launch Containers on NodeManagers
Write a custom Container to perform specific business logic
Explain the job schedulers of the ResourceManager
Define queues for the Capacity Scheduler