Cloud Data Architecture: Cloud Architecture & Containerization
Cloud Architecture
| Intermediate
- 10 videos | 44m 21s
- Includes Assessment
- Earns a Badge
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
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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
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1m 39s
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3m 56sAfter completing this video, you will be able to recognize the impact of implementing containerization on cloud hosting environments. FREE ACCESS
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3. Benefits of Containers4m 48sUpon completion of this video, you will be able to recall the benefits of container implementation and the role of cloud container services. FREE ACCESS
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4. Serverless Computing4m 53sAfter completing this video, you will be able to describe the concept of serverless computing and its benefits. FREE ACCESS
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5. DevOps in the Cloud4m 51sAfter completing this video, you will be able to describe approaches for implementing DevOps in the cloud. FREE ACCESS
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6. AWS OpsWorks7m 1sIn this video, find out how to implement OpsWorks on AWS using Puppet. FREE ACCESS
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7. Storage Classification2m 57sIn 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 Learning5m 53sUpon 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
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9. Cloud and BI Analytics3m 10sAfter completing this video, you will be able to recognize the impact of cloud technology on business intelligence analytics. FREE ACCESS
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10. Exercise: Containerization and Serverless Computing5m 12sUpon 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
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
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