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 Container Engine


Google Container Engine is also known as Google Kubernetes Engine or GKE. GKE is a management and orchestration system for Docker containers, the container clusters run within Google's public cloud services, on Google Compute Engine.

Kubernetes is Google's open source container management system. Users can use the gcloud command-line interface or the Google Cloud Platform Console to interact with Google Kubernetes Engine.

The typical users of Google Kubernetes Engine are software developers. They create, deploy, and test new enterprise applications from time to time. To better meet the scalability and performance demands of enterprise applications, administrators also use containers. Kubernetes runs on a cluster of Google Compute Engine; we call it Google Kubernetes Engine, which has Kubernetes running on it.

Docker containers are managed by a master node as a cluster master. To perform tasks such as servicing API requests and scheduling containers, it also runs a Kubernetes...