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Google Cloud Professional Data Engineer Cert Prep: 2 Building and Operationalizing Data Processing Systems

Google Cloud Professional Data Engineer Cert Prep: 2 Building and Operationalizing Data Processing Systems

51mAdvanced2023-07-20

Authors

Noah Gift

Noah Gift

MLOps Expert | Solopreneur | Author | Adjunct Professor | CTO

Course details

Earning the Google Cloud Professional Data Engineer certification confirms that you’re able to design, build, operationalize, secure, and monitor data processing systems with a particular emphasis on security and compliance; scalability and efficiency; reliability and fidelity; and flexibility and portability. In this course, Noah Gift prepares you for the section of the exam that focuses on building and operationalizing data processing systems. Noah covers the topics tested on the exam: storage system implementation, pipeline building and operationalization, and processing infrastructure implementation.

Skills covered

Google CloudData EngineeringSoftware Development ToolsGoogleCloud PlatformsCert PrepCloud ComputingData ScienceSoftware Development

Concepts

0. Introduction

  • 01 - Course overview

1. Storage System Implementation

  • 02 - Demo - Google Cloud Shell
  • 03 - Demo - Google Cloud Editor
  • 04 - Demo - Google CLI SDK
  • 05 - Demo - Google gcloud CLI tool
  • 06 - Storage comparison

2. Pipeline Building and Operationalization

  • 07 - Jack and the Beanstalk as a data pipeline
  • 08 - Compare compute offerings
  • 09 - Demo - Compute volatility on GCP

3. Processing Infrastructure Implementation

  • 10 - The challenges of big data
  • 11 - Demo - Extending GCP Cloud Functions
  • 12 - Data pipeline triggers

Conclusion

  • 13 - Next steps

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