Cloud SQL is a fully managed database service that makes it easy to work with relational MySQL and PostgreSQL databases in the cloud. For now, we have few options in Cloud SQL. They offer high performance, scalability, and convenience.
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Book Overview & Buying
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Table Of Contents
Cloud Analytics with Google Cloud Platform
By :
Cloud Analytics with Google Cloud Platform
By:
Overview of this book
With the ongoing data explosion, more and more organizations all over the world are slowly migrating their infrastructure to the cloud. These cloud platforms also provide their distinct analytics services to help you get faster insights from your data.
This book will give you an introduction to the concept of analytics on the cloud, and the different cloud services popularly used for processing and analyzing data. If you’re planning to adopt the cloud analytics model for your business, this book will help you understand the design and business considerations to be kept in mind, and choose the best tools and alternatives for analytics, based on your requirements. The chapters in this book will take you through the 70+ services available in Google Cloud Platform and their implementation for practical purposes. From ingestion to processing your data, this book contains best practices on building an end-to-end analytics pipeline on the cloud by leveraging popular concepts such as machine learning and deep learning.
By the end of this book, you will have a better understanding of cloud analytics as a concept as well as a practical know-how of its implementation
Table of Contents (11 chapters)
Preface
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 and Visualizing – Close Encounter
Machine Learning, Deep Learning, and AI on GCP
Guidance on Google Cloud Platform Certification
Business Use Cases
Introduction to AWS and Azure
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