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

سرفصل های دوره

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.

01 - Introduction

01 - Course overview

02 - 1. Storage System Implementation

01 - Demo Google Cloud Shell

02 - Demo Google Cloud Editor

03 - Demo Google CLI SDK

04 - Demo Google gcloud CLI tool

05 - Storage comparison

03 - 2. Pipeline Building and Operationalization

01 - Jack and the Beanstalk as a data pipeline

02 - Compare compute offerings

03 - Demo Compute volatility on GCP

04 - 3. Processing Infrastructure Implementation

01 - The challenges of big data

02 - Demo Extending GCP Cloud Functions

03 - Data pipeline triggers

05 - Conclusion

01 - Next steps

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تولید کننده: LinkedIn Learning (Lynda)