Course details

Cloud Data Architecture: DevOps & Containerization

Cloud Data Architecture: DevOps & Containerization


Overview/Description
Expected Duration
Lesson Objectives
Course Number
Expertise Level



Overview/Description

In this course, learners discover how to implement cloud architecture for large- scale data science applications, serverless computing, adequate storage, and analytical platforms using DevOps tools and cloud resources. Key concepts covered here include the impact of implementing containerization on cloud hosting environments; the benefits of container implementation, such as lower overhead, increased portability, operational consistency, greater efficiency and better application development; and the role of cloud container services. You will study the concept of serverless computing and its benefits; the approaches of implementing DevOps in the cloud; and how to implement OpsWorks on AWS by using Puppet which provides the ability to define which software and configuration a system requires. See demonstrations of how to classify storage from the perspective of capacity and data access technologies; the benefits of implementing machine learning, deep learning, and artificial intelligence in the cloud; and the impact of cloud technology on BI analytics. Finally, learners encounter container and cloud storage types, container and serverless computing benefits, and advantages of implementing cloud-based BI analytics.



Expected Duration (hours)
0.8

Lesson Objectives

Cloud Data Architecture: DevOps & Containerization

  • Course Overview
  • 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