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

Cloud Datastore


As an alternative to NoSQL, we also have Cloud Datastore. It is a highly scalable NoSQL database for your mobile and web applications.

Google's BigTable and Megastore technology is used in Cloud Datastore. Let's understand Cloud Datastore in detail.

When to use

Cloud Datastore is ideally used for applications that rely on highly available structured data at scale. Say, you want to store and query data as product catalogs that provide real-time inventory and product details for a retailer.

Cloud Datastore can also be used when storing and querying of user profiles is required. We can use that to deliver a customized experience based on the user’s past activities and preferences.

But there is constraint with Cloud Datastore: we cannot use it for effective storage solutions for analytics as it is not a relational database.

Special features

Let's discuss the features that Cloud Datastore has to offer. Cloud Datastore is a highly scalable NoSQL database with high availability and durability...