Cloud Data Architecture: Cloud Architecture & Containerization

Cloud Architecture    |    Intermediate
  • 10 videos | 44m 21s
  • Includes Assessment
  • Earns a Badge
Rating 4.3 of 112 users Rating 4.3 of 112 users (112)
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.

WHAT YOU WILL LEARN

  • 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

IN THIS COURSE

  • 1m 39s
  • 3m 56s
    After completing this video, you will be able to recognize the impact of implementing containerization on cloud hosting environments. FREE ACCESS
  • Locked
    3.  Benefits of Containers
    4m 48s
    Upon completion of this video, you will be able to recall the benefits of container implementation and the role of cloud container services. FREE ACCESS
  • Locked
    4.  Serverless Computing
    4m 53s
    After completing this video, you will be able to describe the concept of serverless computing and its benefits. FREE ACCESS
  • Locked
    5.  DevOps in the Cloud
    4m 51s
    After completing this video, you will be able to describe approaches for implementing DevOps in the cloud. FREE ACCESS
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    6.  AWS OpsWorks
    7m 1s
    In this video, find out how to implement OpsWorks on AWS using Puppet. FREE ACCESS
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    7.  Storage Classification
    2m 57s
    In this video, you will learn how to classify storage from the perspective of capacity and data access technologies. FREE ACCESS
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    8.  Cloud and Machine Learning
    5m 53s
    Upon completion of this video, you will be able to specify the benefits of implementing machine learning, deep learning, and artificial intelligence in the cloud. FREE ACCESS
  • Locked
    9.  Cloud and BI Analytics
    3m 10s
    After completing this video, you will be able to recognize the impact of cloud technology on business intelligence analytics. FREE ACCESS
  • Locked
    10.  Exercise: Containerization and Serverless Computing
    5m 12s
    Upon completion of this video, you will be able to recall container and cloud storage types, the benefits of container and serverless computing, and the advantages of implementing cloud-based BI analytics. FREE ACCESS

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