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  1. One of the biggest challenges facing IoT is providing actionable insights around the data. To help you get started with IoT analytics, we’ve created an IoT Analytics template that contains preconfigured mapping, charts, and tables, as well as sample data for a fictitious smart city. This template is designed to help you get a better understanding of what’s possible with IOT analytics services and to kickstart your own IoT analytics projects.

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  2. When it comes todata analytics the cloud may seem like a tempting solution—simply spin up a virtual server whenever you need more power, and shut it down when you don’t—but the truth is, it’s more complicated than that. And using the cloud for data analytics may not work if you have a specific data size requirement, since cloud providers charge by the amount of data stored on their hardware, but not necessarily the time or power used to process it.

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