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

Google Cloud Platform


Google Cloud AI provides ML services through its well-defined APIs. These services are very fast, easily scalable, and easy to use in practice. The users can use Neural-network-based machine learning algorithms for better performance of their applications.

The GCP provides various types of applications built on an AI platform and is used in many of Google's products. The user’s application customization of ML on neural networks can be done by using AutoML. Optimization of ML is allowed through GCP AI TensorFlow workload APIs. Data storage and retrieval are also made easy through Cloud Storage and Cloud Dataflow services. Users can share their thoughts or experiences and make conversations across all domains and devices. Analytical tools are also provided separately for images, videos, audio or speech, text, and other miscellaneous applications.

In this chapter, the authors have tried to explain the GCP AI platform and explore knowledge on the following APIs with use cases...