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LinkedIn Learning

Data Science on Google Cloud Platform: Architecting Solutions

via LinkedIn Learning

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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

Reviews

4.7 rating at LinkedIn Learning based on 32 ratings

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