Biography

Tim Spann is a Developer Advocate at StreamNative where he works with Apache NiFi, MiniFi, Pulsar, Apache Flink, Apache MXNet, TensorFlow, Apache Spark, big data, the IoT, machine learning, and deep learning. Tim has over a decade of experience with the IoT, big data, distributed computing, streaming technologies, and Java programming. Previously, he was a senior solutions architect at AirisData and a senior field engineer at Pivotal. He blogs for DZone, where he is the Big Data Zone leader, and runs a popular meetup in Princeton on big data, the IoT, deep learning, streaming, NiFi, the blockchain, and Spark. Tim is a frequent speaker at conferences such as IoT Fusion, Strata, ApacheCon, Data Works Summit Berlin, DataWorks Summit Sydney, and Oracle Code NYC. He holds a BS and MS in computer science.

Talk

Real-Time Streaming in Any and All Clouds, Hybrid and Beyond

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 Pulsar, 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

Session Keywords