Course details

Cloud Data Architecture: DevOps & Containerization

Cloud Data Architecture: DevOps & Containerization


Overview/Description
Expected Duration
Lesson Objectives
Course Number
Expertise Level



Overview/Description

Discover how to implement cloud architecture for large scale applications, serverless computing, adequate storage, and analytical platforms using DevOps tools and cloud resources.



Expected Duration (hours)
0.8

Lesson Objectives

Cloud Data Architecture: DevOps & Containerization

  • recognize the impact of implementing containerization on cloud hosting environments
  • recall the benefits of container implementation and the role of cloud container services
  • describe the concept of serverless computing and its benefits
  • describe approaches of implementing DevOps in the cloud
  • implement OpsWorks on AWS using Puppet
  • classify storage from the perspective of capacity and data access technologies
  • specify the benefits of implementing machine learning, deep learning, and artificial intelligence in the cloud
  • recognize the impact of cloud technology on BI analytics
  • recall container and cloud storage types, container and serverless computing benefits, and advantages of implementing cloud-based BI analytics
  • Course Number:
    it_dsadardj_01_enus

    Expertise Level
    Intermediate