Szkolenia HPE

Cel szkolenia szkolenie zdalne - dlearning

kod: HJ7L4S | wersja: v5

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.

Course objectives

  • 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



System developers, big data application developers, business analysts, data scientists, data engineers.

Plan szkolenia Rozwiń listę

  • 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)
    • 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
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Dodatkowe informacje

Wymagania wstępne


  • HPE Container Platform Administration I (highly recommended)


  • Unix/Linux user and administration experience
  • Hadoop/AI/Big Data application administration experience (Cloudera/Hortonworks, Jupyter Notebook, Tensorflow, etc.)
  • Experience in machine learning life cycle (e.g. model training/development and model deployment)
Poziom trudności
Czas trwania 2 dni

The participants will obtain certificates signed by HPE (course completion).


Authorized HPE Trainer

Pozostałe szkolenia HPE | HPE Ezmeral

Szkolenia powiązane tematycznie


Formularz kontaktowy

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* pola oznaczone (*) są wymagane

Informacje o przetwarzaniu danych przez Compendium – Centrum Edukacyjne Spółka z o.o.


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