Techorama 2015

As database experts and Business Intelligence specialists we are used to selecting business value from static data sets. But is this always the optimal scenario? In today’s world of rapidly changing businesses, with the emergence of Big Data, The Internet of Things and on-line social interactions on a massive scale, the challenges of selecting business value from static data are increasing in complexity. Maybe life would be easier if we make the assumption that our data sets are infinite in size. Technologies such as Azure Stream Analytics enable developers and data analysts do just that by querying dynamic data streams to select business value.

Azure Stream Analytics can scale massively to process hundreds of thousands of messages per second. The data querying capabilities allow results and values to be aggregated over specified time windows to generate reports based on key performance indicators, or trigger alerts when thresholds are exceeded. Best of all, the query language for Stream Analytics is T-SQL, which provides a smooth path for today’s data experts to adopt tomorrow’s technologies.

In this demo intensive session Alan will unleash the power of Azure Stream Analytics, showing how data stream processing scenarios can be implemented quickly and efficiently. The scenarios demonstrated will range from issuing speeding tickets in a driving game to analyzing dynamic data streams from trending topics in Twitter.