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Cloud Analytics with Google Cloud Platform

You're reading from   Cloud Analytics with Google Cloud Platform An end-to-end guide to processing and analyzing big data using Google Cloud Platform

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Product type Paperback
Published in Apr 2018
Publisher Packt
ISBN-13 9781788839686
Length 282 pages
Edition 1st Edition
Concepts
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Author (1):
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Sanket Thodge Sanket Thodge
Author Profile Icon Sanket Thodge
Sanket Thodge
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Table of Contents (11) Chapters Close

Preface 1. Introducing Cloud Analytics FREE CHAPTER 2. Design and Business Considerations 3. GCP 10,000 Feet Above – A High-Level Understanding of GCP 4. Ingestion and Storing – Bring the Data and Capture It 5. Processing and Visualizing – Close Encounter 6. Machine Learning, Deep Learning, and AI on GCP 7. Guidance on Google Cloud Platform Certification 8. Business Use Cases 9. Introduction to AWS and Azure 10. Other Books You May Enjoy

Cloud Dataproc

Cloud Dataproc is the service that helps enterprises to have Spark and Hadoop integrated services in just a few minutes. It enables us to use open source data tools for batch processing of data, query operations on data, streaming process of data, and applying machine learning algorithms to data.

Cloud Dataproc's feature of orchestration is useful to create clusters quickly, manage them easily, and save money by turning clusters off when not in use. Cloud Dataproc has a minimum cost based on the actual use of it while processing the data, and it is measured second-wise, which is a very unique model BTW. Cloud Dataproc clusters are included like a lower-cost, pre-emptible instance, which gives powerful clusters with the well monitored mechanism at a minimum cost.

Cloud Dataproc handles creation and management of cluster and job orchestration required in...

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