Data Science on Google Cloud Platform: Architecting Solutions

Offered By: LinkedIn Learning

Tags

Google Cloud Platform (GCP) Courses Data Science Courses

Course Description

Overview

Learn how to architect data science solutions at scale using the capabilities provided by Google Cloud Platform (GCP).

Syllabus

Introduction

Architecting data science
Use case (UC) notes

1. Architecting in GCP

GCP benefits
GCP shortcomings
Enterprise: Cloud integration
Multicloud integration

2. UC1: Cloud Data Archive

UC1: Analyzing the problem
UC1: Outlining the solution
UC1: Considering technologies
UC1: Laying out the architecture
UC1: Designing key elements

3. UC2: Log Analytics

UC2: Analyzing the problem
UC2: Outlining the solution
UC2: Considering technologies
UC2: Laying out the architecture
UC2: Designing key elements

4. UC3: Customer Analytics

UC3: Analyzing the problem
UC3: Outlining the solution
UC3: Considering technologies
UC3: Laying out the architecture
UC3: Designing key elements

5. UC4: Real-Time Mobile Couponing

UC4: Analyzing the problem
UC4: Outlining the solution
UC4: Considering technologies
UC4: Laying out the architecture
UC4: Designing key elements

Conclusion

Next steps

Taught by

Kumaran Ponnambalam

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