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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

Loading temperature data to Cloud Bigtable and BigQuery-ing it

Google Bigtable is a fully managed NoSQL service with a focus on low latency and high throughput. It is well suited for storing data for large analytical processing, operation data from IoT devices, other time-series data, and so on. Cloud Bigtable is designed for performance, for huge databases (~1 TB) and it optimizes your data over time. In this recipe, we'll have a look at a small database generated by an IoT temperature sensor. We'll write a Python script to simulate a sensor sending temperature data located in a garden to the  Bigtable. Then, we'll use BigQuery to connect to the Bigtable database to query and make meaning out of the data store.

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Google Cloud Platform Cookbook
Published in: Apr 2018
Publisher: Packt
ISBN-13: 9781788291996
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