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