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 storage


Cloud Storage is a service in GCP whereby we can store any kind of data format in the form of unified object storage. It serves the highly useful purpose of storing data for enterprises and developers. We can use Cloud Storage for storing real-time data as well as archiving data.

We are provided with multiple storage options in Cloud Storage. Let's first understand the major benefits of Cloud Storage.

When to use it

We can use Cloud Storage for storing media content and storage delivery. We can also have data backups and archive data storage in terms of retrieval frequency and total duration.

Cloud Storage can also be treated as an integrated repository for analytics and machine learning. Along with this, we can store our huge videos and music content on Cloud Storage, which can be streamed. Storing images and website content would be very simple to think of, but it can be very cost effective.

We can use Cloud Storage for video transcoding as well, where we can have Cloud Storage...