Book Image

Cloud Analytics with Google Cloud Platform

By : Sanket Thodge
Book Image

Cloud Analytics with Google Cloud Platform

By: Sanket Thodge

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 (16 chapters)
Title Page
Packt Upsell
Foreword
Contributors
Preface
Index

Different services offered by typical cloud vendors


Before starting with GCP, let's try to understand the service categorization by major competitors of GCP, that is, Amazon Web Services (AWS) and Microsoft Azure.

First let's get started with AWS. AWS has 21 broad categories, namely Compute, Storage, Database, Migration, Network and Content Delivery, Developer Tools, Management Tools, Media Services, Machine Learning, Analytics, Security Identity and Compliance, Mobile Service, AR and VR, Application Integration, Customer Engagement, Business Productivity, Desktop and App Streaming, Internet of Things, Game Development, and Software and Cost Management.

Similarly, Azure has categorized services into 13 parts, namely Compute, Networking, Storage, Web and Mobile, Containers, Databases, Analytics, AI and Machine Learning, Internet of Things, Enterprise Integration, Security and Identity, Developer Tools, and Management Tools.

If you have a close look at the naming mechanism of both the vendors...