Data Science on Google Cloud Platform: Architecting Solutions

Description

In this course, you will :

• Discover how to architect data science solutions on GCP and leverage the power of these two technologies for your business.
• begins by going over the technology options available in GCP for carrying out various data science processes, as well as the benefits and drawbacks of this suite of cloud computing services.
• analyses various technologies and walks through the architecture building process for a variety of use cases, such as customer analytics and real-time mobile couponing

Syllabus :

1. Architecting in GCP

• GCP benefits
• GCP shortcomings
• Enterprise: Cloud integration
• Multicloud integration

 

2. UC1: Cloud Data Archive

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

 

3. UC2: Log Analytics

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

 

4. UC3: Customer Analytics

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

 

5. UC4: Real-Time Mobile Couponing

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

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