by Angela Guess

A new press release reports, “Impetus Technologies, a big data software products and services company, today announced the winners of its inaugural Spark Streaming Innovation Contest. Nearly 600 registrants from around the world competed to build a streaming analytics application to solve a real-world anomaly detection problem using StreamAnalytix™ – a visual development platform that leverages Apache Spark in both Streaming and batch mode to create real-time stream processing and machine learning applications. Launched on February 8, 2017, contest participants were challenged to create a Spark Streaming-based network anomaly detection application to determine possible abnormal network activities using the cloud-based version of StreamAnalytix. The application submission deadline was April 9, 2017, and the winners were announced via the contest homepage on April 18, 2017.”

The release continues, “A panel of experts, including the StreamAnalytix product team, architects and engineers, as well as Alex Woodie, managing editor of Datanami and Mike Matchett, senior analyst and consultant at Taneja Group, evaluated and scored each submission based on the following criteria: Quality of the application, including creativity, originality and “wow” factor of the solution. Extent and quality of StreamAnalytix usage, such as the maximum and optimal use of the pre-built ingest, processing, analytics operators, and built-in alerts and visual dashboards. Quality of the submission, including how well the solution is described and documented.”

It goes on, “A total of $18,000 in prize money was awarded to the following individuals based on top scoring results: Grand prize winner (awarded $10,000) – Venu Kanaparthy, Redlands, California. First runner-up (awarded $5,000) – Anindya Saha, Foster City, California. Second runner-up (awarded $3,000) – Kalyan Janaki, Denver, Colorado.”

Read more at PR Newswire.

Photo credit: Impetus