Session

Real-Time Streaming in Azure

Today, data is being generated from devices and containers living at the edge of networks, clouds and data centers. We need to run business logic, analytics and deep learning at the scale and as events arrive.

Tools:
Apache Flink, Apache Kafka, Apache NiFi, MiNiFi, DJL.ai Apache MXNet.

References:
https://www.datainmotion.dev/2019/11/introducing-mm-flank-apache-flink-stack.html
https://www.datainmotion.dev/2019/08/rapid-iot-development-with-cloudera.html
https://www.datainmotion.dev/2019/09/powering-edge-ai-for-sensor-reading.html
https://www.datainmotion.dev/2019/05/dataworks-summit-dc-2019-report.html
https://www.datainmotion.dev/2019/03/using-raspberry-pi-3b-with-apache-nifi.html

Source Code: https://github.com/tspannhw/MmFLaNK

Timothy Spann

Principal Developer Advocate for Data in Motion @ Cloudera

Princeton, New Jersey, United States

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