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

Persistent disks


Persistent disks are network storage devices that are durable and have high performance. The disks can be attached to and accessed by the instances. These devices can be used with Google Compute Engine or Google Kubernetes Engine.

Automatic encryption helps us in protecting the disks. We can resize your storage while it is still being used by VMs with no downtime, but you might face some performance issue, though negligible ones.

When to use

We will be using persistent disks when we need reliable and affordable storage with consistent performance characteristics. With standard HDD persistent disks, they are efficient and economical for handling sequential read and write operations. Random IOPS are not optimized on persistent disks.

At the same time, SSDs are used for high rates of random input/output operations per second. These are designed for single-digit millisecond latencies, but often they are not used for archival purposes.

We can use local SSDs that are suitable for temporary...