Overview
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.
Prerequisites
Courses:
• HPE Container Platform Administration I
(highly recommended)
Skills:
• Unix/Linux user and administration
Experience
• Hadoop/AI/Big Data application
administration experience
(Cloudera/Hortonworks, Jupyter
Notebook, Tensorflow, etc.)
Outline
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—HD
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