So, it’s been a month since Hadoop Summit San Jose, where over 5000 of the leading tech innovators in big data came together to share their inventions, wisdom and know-how. One of the sessions – a powerpoint free zone, was Data Hacks & Demos, a keynote session hosted by Joe Witt and starring an international team from the US, Germany, and UK: Jeremy Dyer, Kay Lerch, Simon Ball. The session was a 20 minute session that created a series of live interactive IoT and streaming analytics demos using Apache NiFi, Spark, Storm, Zeppelin, Azure, Raspberry Pi, Amazon EC2 and AWS IoT.
The demo simulated how a brick and mortar retail store could identify which customers are walking in the door, speak to them, and then find out their preferences to be able to provide personalized offers in real time. The demo showcased how you can today:
In the next few blog posts, we will go through a play-by-play of how it really all went down, one demo at a time. First up, Demo #1