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Google Cloud Platform Cookbook

You're reading from   Google Cloud Platform Cookbook Implement, deploy, maintain, and migrate applications on Google Cloud Platform

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Product type Paperback
Published in Apr 2018
Publisher Packt
ISBN-13 9781788291996
Length 280 pages
Edition 1st Edition
Languages
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Author (1):
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Legorie Rajan PS Legorie Rajan PS
Author Profile Icon Legorie Rajan PS
Legorie Rajan PS
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Toc

Table of Contents (9) Chapters Close

Preface 1. Compute 2. Storage and Databases FREE CHAPTER 3. Networking 4. Security 5. Machine Learning and Big Data 6. Management Tools 7. Best Practices 8. Other Books You May Enjoy

Creating a Dataflow pipeline to store streaming data

Google Dataflow is a service for stream and batch processing at scale. When there is a need for processing lots of streamed data like click stream or data from IoT devices, Dataflow will be the starting point for receiving all the stream data. The data can then be sent to storage (BigQuery, Bigtable, GCS) for further processing (ML):

For this recipe, let's consider a weather station (IoT device) that is sending temperature data to GCP. The data is emitted constantly by the IoT device and is stored on Google Storage for later analytics processing. Considering the intermittent nature of data connectivity between the device and GCP, we'll need a solution to receive the messages, process/handle them, and store them. For this solution, we'll create a Dataflow pipeline using a Google provided template—Cloud...

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