Tuesday 17th May, 2016
11:30am to 1:00pm
Azure Stream Analytics is a cloud-based service for ingesting high-velocity data emanating from IoT devices, sensors, applications, websites, and other sources and analyzing that data in real time. It supports a SQL-like query language that works over dynamic data streams and makes analyzing constantly changing data no more difficult than querying databases. With Azure Stream Analytics, you can set up jobs that analyze incoming data for anomalies or information of interest and record the results, present notifications on dashboards, or even fire off alerts to mobile devices. And all of it can be done at low cost and with a minimum of effort — frequently without writing a single line of code. In this fast-moving, demo-laden session, you'll get up close and personal with Stream Analytics, see a job analyzing IoT data streams built from scratch, and learn about real-world applications for this service.
Jeff Prosise is a software developer and cofounder of Wintellect (www.wintellect.com). bio from Twitter
Jeff is a co-founder of Wintellect who makes his living writing software and helping others do the same. With expertise in HTML5, Windows, mobile application development and Microsoft Azure, he has written nine books and hundreds of magazine articles, trained thousands of developers at Microsoft, and spoken at some of the world’s largest software conferences. In his former life as a mechanical and aerospace engineer, Jeff worked at Oak Ridge National Lab and Lawrence Livermore National Lab, where, among other things, he developed software that combined thermal and structural finite-element methods to model optical systems for high-power laser beams.
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