What does this tutorial cover?

This tutorial will teach you how to perform predictive analysis of streaming sensor data to prevent stoppages and optimize performance applying deep neural networks to IoT data using MQTT and Tensorflow.

kdb Insights Enterprise exists to be the premier cloud-native platform for actionable, data-driven insights. In this use case, compute logic is applied to live data streaming from a MQTT messaging service. Then Deep Neural Network Regression is used to determine the likelihood of breakdowns.

Are there any prerequisites?

You will need access to an instance of kdb Insights Enterprise to carry out this tutorial.

How to access?

Access this tutorial here. 

Where can I get help?

If you have any questions or feedback please reach out over on the KX Community.