Cloud Data Architecture: Data Management & Adoption Frameworks

Cloud Architecture    |    Intermediate
  • 13 videos | 1h 4m 26s
  • Includes Assessment
  • Earns a Badge
Explore how to implement containers and data management on popular cloud platforms like Amazon Web Services (AWS) and Google Cloud Platform (GCP) for data science. Planning big data solutions, disaster recovery, and backup and restore in the cloud are also covered in this course. Key concepts covered here include cloud migration models from the perspective of architectural preferences; prominent big data solutions that can be implemented in the cloud; and the impact of implementing Kubernetes and Docker in the cloud, and how to implement Kubernetes on AWS. Next, learn how to implement data management on AWS, GCP, and DBaaS; how to implement big data solutions using AWS; how to build backup and restore mechanisms in the cloud; and how to implement disaster recovery planning for cloud applications. Learners will see prominent cloud adoption frameworks and their associated capabilities, and hear benefits of and how to implement blockchain technologies or solutions in the cloud. Finally, learn how to implement Kubernetes on AWS, build backup and restore mechanisms on GCP, and implement big data solutions in the cloud.

WHAT YOU WILL LEARN

  • Recall cloud migration models from the perspective of architectural preferences
    Specify prominent big data solutions that can be implemented in the cloud
    Recognize the impact of the implementing kubernetes and docker in the cloud
    Implement kubernetes on aws
    Implement data management on aws, gcp, and dbaas
    Implement big data solutions using aws
  • Build backup and restore mechanisms in the cloud
    Implement disaster recovery planning for cloud applications
    Recall prominent cloud adoption frameworks and their associated capabilities
    Specify the benefits of implementing blockchain technologies or solutions in the cloud
    Implement blockchain solutions in the cloud
    Implement kubernetes on aws, build backup and restore mechanisms on gcp, and implement big data solutions in the cloud

IN THIS COURSE

  • 1m 49s
  • 6m 48s
    Upon completion of this video, you will be able to recall cloud migration models from the perspective of architectural preferences. FREE ACCESS
  • Locked
    3.  Cloud and Big Data Solutions
    7m 10s
    After completing this video, you will be able to specify prominent big data solutions that can be implemented in the cloud. FREE ACCESS
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    4.  Kubernetes and Docker in the Cloud
    3m 15s
    Upon completion of this video, you will be able to recognize the impact of implementing Kubernetes and Docker in the cloud. FREE ACCESS
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    5.  Kubernetes and AWS
    5m 20s
    During this video, you will learn how to implement Kubernetes on Amazon Web Services. FREE ACCESS
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    6.  Data Management with AWS and GCP
    5m 30s
    Learn how to implement data management on AWS, GCP, and DBaaS. FREE ACCESS
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    7.  Big Data Solutions for AWS
    4m 32s
    In this video, you will learn how to implement big data solutions using AWS. FREE ACCESS
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    8.  Backup and Restore in the Cloud
    5m 15s
    In this video, find out how to build backup and restore mechanisms in the cloud. FREE ACCESS
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    9.  Disaster Recovery Planning for Cloud Applications
    4m 57s
    Learn how to implement disaster recovery planning for cloud-based applications. FREE ACCESS
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    10.  Cloud Adoption Frameworks
    5m 19s
    After completing this video, you will be able to recall prominent cloud adoption frameworks and their associated capabilities. FREE ACCESS
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    11.  Blockchain Technologies in the Cloud
    4m 3s
    Upon completion of this video, you will be able to specify the benefits of implementing Blockchain technology or solutions in the cloud. FREE ACCESS
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    12.  Implementing Blockchain Solutions in the Cloud
    4m 46s
    Learn how to implement Blockchain solutions in the cloud. FREE ACCESS
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    13.  Exercise: Implement Data Management in the Cloud
    5m 42s
    In this video, learn how to implement Kubernetes on AWS, build backup and restore mechanisms on GCP, and implement big data solutions in the cloud. FREE ACCESS

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