Book Image

Google Cloud Platform Cookbook

By : Legorie Rajan PS
Book Image

Google Cloud Platform Cookbook

By: Legorie Rajan PS

Overview of this book

Google Cloud Platform is a cloud computing platform that offers products and services to host applications using state-of-the art infrastructure and technology. You can build and host applications and websites, store data, and analyze data on Google's scalable infrastructure. This book follows a recipe-based approach, giving you hands-on experience to make the most of Google Cloud services. This book starts with practical recipes that explain how to utilize Google Cloud's common services. Then, you'll see how to make full use of Google Cloud components such as networking, security, management, and developer tools. Next, we'll deep dive into implementing core Google Cloud services into your organization, with practical recipes on App Engine, Compute Engine, Cloud Functions, virtual networks, and Cloud Storage. Later, we'll provide recipes on implementing authentication and security, Cloud APIs, command-line management, deployment management, and the Cloud SDK. Finally, we'll cover administration and troubleshooting tasks on applications with Compute services and we'll show how to monitor your organization's efficiency with best practices. By the end of this book, you'll have an overall understanding and hands-on implementation of Google Cloud services in your organization with ease.
Table of Contents (14 chapters)
Title Page
Dedication
Packt Upsell
Contributors
Preface
Index

Introduction


In this chapter, we'll discover Google Cloud's offering on machine learning (ML) and a few big data services. GCP offers two kinds of ML platform—one where we can use our own data to train models using services like Cloud ML Engine, and another to use already trained ML models for specific use cases like that of Cloud Natural Language, Translation API, Vision API, Speech API, and Video Intelligence. We'll focus more on machine learning APIs in this chapter.

GCP provides a wide range of services for end to end big data processing, of which we'll look at three services in particular—Google BigQuery, Cloud Dataflow, and Pub/Sub.

One of the biggest strengths of GCP is their big data services and ML capabilities. The technology behind these services existed in Google even before the arrival of the public cloud.