Enterprise IIoT: Edge Processing with Apache NiFi, MiniFi, TensorFlow, Apache MXNet

http://iotfusion.net/session/enterprise-iiot-edge-processing-with-apache-nifi-minifi-and-deep-learning/

Join me for this live in Philly on April 5, 2018.

Sending Data to an Advanced Analytics Platform like https://www.zoomdata.com/ is childsplay. I added that as a live stream via REST while I am sending the JSON to be converted to AVRO then ORC for storage and Hive queries.

As part of the ingest we store the images and make a current image for display.

See: https://community.hortonworks.com/articles/182850/vision-thing.html

https://community.hortonworks.com/content/kbentry/182984/vision-thing-part-2-processing-capturing-and-displ.html

An Overview of a Flow to Ingest Both Apache MXNet + SenseHat Data plus multiple rows of TensorFlow data

If TensorFlow json data, split it into individual JSON records

This is how to split an array of JSON that doesn't have a top element.

Reference:

https://community.hortonworks.com/articles/182850/vision-thing.html

Github:

https://github.com/tspannhw/OpenSourceComputerVision

https://github.com/tspannhw/ApacheDeepLearning101

https://github.com/tspannhw/nifi-tensorflow-processor