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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 Dataflow

Cloud Dataflow is one of the first services we are going to learn in this chapter. It is a fully managed service that transforms data in the streams and batches while providing equal reliability.

You can develop a simplified and fast pipeline in Cloud Dataflow. We can express Cloud Dataflow in Java and the Python API in the Apache Beam SDK.

When to use

We have multiple uses of the Cloud Dataflow service in Google Cloud Platform.

We can use it for clickstream, point-of-sale, and segmentation analysis in retail. Cloud Dataflow can help the company getting the data to analyze it on the go and take important business decisions.

Another use case can be fraud detection in financial services. We can have Cloud...

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