IoT data volumes increase quickly. Analytics for IoT is particularly compute intensive at times that are difficult to predict. Business value is uncertain and requires a lot of experimentation to find the right implementation.
Combine all this together and you need something that scales quickly, is dynamic and responsive to resource needs, and has virtually unlimited capacity at just the right time. And all of this needs to be implemented quickly with a low cost and low maintenance needs.
Enter the cloud. IoT analytics and cloud infrastructure fit together like a hand in a glove.
The National Institute of Standards and Technology defines five essential characteristics:
- On-demand self-service: You can provision things such as servers and storage as needed and without interacting with someone.
- Broad network access: Your cloud resources are accessible over the internet (if enabled) by various methods, such as web browser or mobile phone.
- Resource...
