Cloud Analytics with Google Cloud Platform
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Combine the power of analytics and cloud computing for faster and efficient insights
Key FeaturesMaster the concept of analytics on the cloud: and how organizations are using itLearn the design considerations and while applying a cloud analytics solutionDesign an end-to-end analytics pipeline on the cloudBook 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
What you will learnExplore the basics of cloud analytics and the major cloud solutionsLearn how organizations are using cloud analytics to improve the ROIExplore the design considerations while adopting cloud servicesWork with the ingestion and storage tools of GCP such as Cloud Pub/SubProcess your data with tools such as Cloud Dataproc, BigQuery, etcOver 70 GCP tools to build an analytics engine for cloud analyticsImplement machine learning and other AI techniques on GCPWho This Book Is 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.
Table of ContentsIntroducing Cloud AnalyticsDesign and Business ConsiderationsGCP 10,000 feet above- a high level understanding of GCPIngestion and Storing – Bring the data and capture itProcessing, Visualizing and Building Analytics Engine in GCP- Close encounter – Squeeze the data and make Data workMachine Learning, Deep Learning and AI on GCPTroubleshooting CloudBusiness use-casesAppendix: Introduction to AWS and Azure
Publisher : Packt Publishing (April 10, 2018)
Language : English
Paperback : 282 pages
ISBN-10 : 1788839684
ISBN-13 : 978-1788839686
Item Weight : 1.08 pounds
Dimensions : 7.5 x 0.59 x 9.25 inches
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Ojas –
crisp, clear and to the point
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.
James White –
Good Overview of the Data Services of GCP
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.
Laura Phillips –
Poor Copy of Google Documentation
The book promises to be a primer on GCP for analytics, but it gives a poor high-level overview of the platform. When useful information is there it is a copy from the GCP documentation. Not worth the purchase.
Jim –
One Star
Lot of typos make it hard to continue reading.
Geo Bel –
Good introduction to gcp despite the fact most of the information are available directly from Google website – at least a good summary and introduction
Santhosh –
good book