Cloud Analytics with Google Cloud Platform
This book will deep-dive into the concept of analytics on the cloud with the design and business considerations. You will build an end-to-end analytics engine to perform smart analytics using machine learning and deep learning concepts. From ingestion to processing your data, this book contains the best practices using Google Cloud Platform.
Offered by
Difficulty Level
Intermediate
Completion Time
9h24m
Language
English
About Book
Who Is This Book For?
This book is targeted at CIOs, CTOs, and even analytics professionals looking for various alternatives to implement their analytics pipeline on the cloud. Data professionals looking to get started with cloud-based analytics will also find this book useful. Some basic exposure to cloud platforms such as GCP will be helpful, but not mandatory.
Cloud Analytics with Google Cloud Platform
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 9h24m total length
Introducing Cloud Analytics
Design and Business Considerations
GCP 10,000 feet above– a high level understanding of GCP
Ingestion and Storing – Bring the data and capture it
Processing, Visualizing and Building Analytics Engine in GCP– Close encounter – Squeeze the data and make Data work
Machine Learning, Deep Learning and AI on GCP
Troubleshooting Cloud
Business use-cases
Appendix: Introduction to AWS and Azure
Related Resources
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