This course is designed for developers who create and run big data applications on HPE Container Platform 5.0. Although the platform provides a rich set of standard application images, This course guides developers on how to create, deploy and maintain additional application-specific images. The course consists of 50% lecture and 50% lab exercises.
Introduction
• Introduction
• Learning objectives review
• Course schedule review
HPE Container Platform 5.0 EPIC
Applications and Workbench Overview
• Components of HPE Container Platform 5.0 applications
• Application Workbench overview
• Introduction to cluster and tenant metadata
• Big data application classification
• Application integration patterns
Training Environment Overview • Installation
• Credentials and access walkthrough
• Building a sample application (e.g., Hello World)
– Application creation process
• Custom base Images
• Running Action and Bootstrap scripts
• Docker Registry and usage
Building a Single and Multiple Role
Application
• Developing a single role single service application (e.g,.Spark)
• Developing a single role multiple services application(e.g., Spark)
• Developing a multi-role multiple services application(e.g,.
Spark/Jupyter)
Building an Advanced Multi-Role
Hadoop-Based Application
• Hadoop distributions review (e.g., Cloudera, Hortonworks,MapR)
• Lecture
• Building an advanced multi-role application—CDH
• Building an advanced multi-role application—HDP
Training Environment Overview—Lab
Exercise
Building a Sample Application (e.g.,
Hello World)—Lab Exercise
Building a Single Role & Single Service
Application —Lab Exercise
Building a Single Role & Multiple
Service Application —Lab Exercise
Multiple Role & Multiple Service
Application —Lab Exercise
Building an Advanced Multi-Role Hadoop[1]Based Application—Lab Exercise
• Obtain in-depth knowledge of HPE
Container Platform 5.0 EPIC Application
Workbench
• Learn best practices to help accelerate the
development of new application images
• Learn how to maintain and optimize
application images
HPE Container Platform Administration I(highly recommended)
System developers, big data applicationdevelopers, business analysts, data scientists,data engineers.
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