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Key benefits

*Master the concept of analytics on the cloud: and how organizations are using it

*Learn the design considerations and while applying a cloud analytics solution

*Design an end-to-end analytics pipeline on the cloud

Description

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

Who is this book for?

This book is targeted at CIOs, CTOs, and even analytics professionals looking for various alternatives to implement their analytics pipeline on the cloud. Data professionals looking to get started with cloud-based analytics will also find this book useful. Some basic exposure to cloud platforms such as GCP will be helpful, but not mandatory.

What you will learn

* Explore the basics of cloud analytics and the major cloud solutions

*Learn how organizations are using cloud analytics to improve the ROI

* Explore the design considerations while adopting cloud services

* Work with the ingestion and storage tools of GCP such as Cloud Pub/Sub

* Process your data with tools such as Cloud Dataproc, BigQuery, etc

*Over 70 GCP tools to build an analytics engine for cloud analytics

* Implement machine learning and other AI techniques on GCP

What do you get with eBook?

Instant access to your Digital eBook purchase

Download this book in EPUB and PDF formats

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

AI Assistant (beta) to help accelerate your learning

Frequently bought together

$50.99

$50.99

Cloud Analytics with Google Cloud Platform

$45.99

Total $ 147.97

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Amazon verified reviews

Ojas May 23, 2018

This book is bible for GCP. Contains detailed walk-throughs of how to get started with GCP. There is a video guide on YouTube by the same author which can be a great companion for with this book.Containts in the book are crisp, clear and to the point. Chapters are very well organized as well. I highly recommend having this book in your shelf if you are using/learning GCP.

Amazon Verified review

Santhosh Nov 08, 2019

good book

James White Feb 19, 2019

If you want to understand and get up to speed on GCP's data capabilities, then this book will help you understand them. If you are studying for the GCP Data Engineer exam, then this book will help you understand the use cases and high-level architecture of each of GCP's data apps. Combine this book with the Cloud Architecture book to fully understand how to use tools such as GCP's virtual private network, Stackdriver suite, Serverless Architecture, etc. This book tends to gloss over those topics compared to coverage of the data tools. There are some typos and you could probably find a lot of this info on the web, but if you want to save yourself some time initially, this book is a good place to start.

Geo Bel Aug 20, 2018

Good introduction to gcp despite the fact most of the information are available directly from Google website - at least a good summary and introduction

Jim Jul 11, 2018

Lot of typos make it hard to continue reading.

Cloud Analytics with Google Cloud Platform: An end-to-end guide to processing and analyzing big data using Google Cloud Platform

What do you get with eBook?