$10,000 Grand Prize Awarded for Building Real-Time Machine Learning Application for Anomaly Detection Using StreamAnalytix (now known as Gathr)

LOS GATOS, Calif. – April 18, 2017 – 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™ (now known as Gathr) – 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 (now known as Gathr). The application submission deadline was April 9, 2017, and the winners were announced via the contest homepage on April 18, 2017.

A panel of experts, including the StreamAnalytix (now known as Gathr) 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 (now known as Gathr) 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.

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

After winning the contest, Kanaparthy, said: “I wouldn’t call myself a data science expert and I had no prior experience with StreamAnalytix (now known as Gathr). However, I was able to build a fully functional anomaly detection application on Spark working part-time evenings over about 4 weeks. I am convinced that it can be a very powerful tool in the hands of data analysts and developers.”

During the contest, participants were asked to describe their experience using StreamAnalytix (now known as Gathr). Many noted its ease of use, with comments including that the platform is “very intuitive,” and “even a business analyst who has some familiarity with Spark can easily create and run Spark-based machine learning pipelines.” Another contestant said the main advantage of the platform was the ability to “develop and deploy pipelines with no or less coding.” Overall, StreamAnalytix (now known as Gathr) was described as valuable for business analysts, data scientists and developers alike.

“The enormous level of interest in this contest speaks to the wide-spread enterprise usage and power of Apache Spark and Spark Streaming for solving real-world analytical challenges. The quality of the submissions we received far exceeded our expectations in their thought process, data science skills, attention to detail and how well they used our platform, said Anand Venugopal, head of product for StreamAnalytix (now known as Gathr) at Impetus Technologies. “We heartily congratulate the winners and acknowledge all the contestants for their committed work on this project, and trust that all of them had a rewarding experience working to solve a real-world analytics problem, while also discovering just how easy it is to use StreamAnalytix (now known as Gathr) to accomplish their analytics and machine learning needs. This contest has helped us to contribute to many developers in their data science learning and the feedback has greatly encouraged us to do many more enterprise big data analytics-oriented programs.”

To learn more about how StreamAnalytix (now known as Gathr) provides developers and data scientists with the ability to enable the real-time enterprise, visit: https://www.streamanalytix.com.

About StreamAnalytix (now known as Gathr)

StreamAnalytix (now known as Gathr), an Impetus Technologies product, enables the real-time enterprise. The platform provides enterprises with the advantages of an open-source based, enterprise-grade platform for rapid and easy development of real-time streaming analytics and machine learning applications for any industry vertical, any data format and any use case. Featuring support for Apache Spark Streaming, Apache Spark batch and Apache Storm, StreamAnalytix (now known as Gathr) is the industry’s first platform that provides the powerful advantage of offering users multi-engine support and the flexibility to match the choice of a stream processing engine to the requirements of a particular use case. To learn more, visit: https://www.streamanalytix.com or write to: inquiry@streamanalytix.com, and follow us on Twitter and LinkedIn.

About Impetus Technologies

Impetus Technologies is focused on creating big business impact through big data solutions for Fortune 1000 enterprises. The company offers a unique mix of software products, consulting services, data science capabilities and technology expertise. It offers full life-cycle services for big data technology implementations, including technology strategy, solution architecture, proof of concept, production implementation and on-going support to its clients. To learn more, visit: www.impetus.com or write to: bigdata@impetus.com, and follow us on Twitter and LinkedIn.