LOS GATOS, Calif., Feb. 8, 2017 /PRNewswire/ -- Impetus Technologies, a big data software products and services company, today announced the Spark Streaming Innovation Contest. Participating teams will compete to build a real-world streaming data application on the StreamAnalytix™ platform. A visual development platform to build real-time machine learning and stream processing applications, StreamAnalytix dramatically reduces the time and effort it takes to develop and deploy Apache Spark-based data processing and analytics applications. An experienced Spark developer at a large cable and telecom company recently endorsed StreamAnalytix for expediting the time it takes to build a Spark application from six weeks to less than two days.
The contest will be open for registration on Feb. 8, 2017, and submissions can be made until March 31, 2017. The grand prize winner will receive $10,000, the second and third place winners will receive $5,000 and $3,000, respectively. A special student winner will be awarded $2,000, bringing the total awarded prize money to $20,000.
Contestants will be given access to a cloud-based workspace with the latest version of StreamAnalytix, which includes support for Apache Spark Streaming. They will be provided with a dataset and presented with an analytical problem to be solved by building a Spark Streaming application. Experts from the StreamAnalytix team will be available for assistance via a support forum and by email. Ideally, competing teams should have skills in both Spark development and data science.
A panel of experts, including the StreamAnalytix product team, architects and engineers, will evaluate submissions based on the scoring criteria available on the contest homepage. The winners will be announced on April 18, 2017.
Details on the Spark Streaming Innovation Contest are as follows:
"The StreamAnalytix team is passionate about providing the Apache Spark Streaming developer and data science community with the tools they need to make their work both easy and quick, giving them more time for analytics and reducing their coding burden to near zero," said Anand Venugopal, head of product for StreamAnalytix at Impetus Technologies. "We believe contest participants will have a fulfilling experience, having solved a real-world data analytics problem using Spark – and in the process, they'll discover the power and ease of the StreamAnalytix platform for building more real-time Spark Streaming applications."
For more information and updates on the contest, visit: http://www.streamanalytix.com/contest or stop by the Impetus Technologies booth, number 309, at the Spark Summit East conference in Boston, Feb. 8-9, 2017, or follow @StreamAnalytix and look for the hashtag #SparkStreamingContest.
About StreamAnalytix
StreamAnalytix, an Impetus Technologies product, enables the real-time enterprise. It 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. StreamAnalytix is designed to quickly build and deploy streaming analytics applications for any industry vertical, any data format and any use case. Featuring support for Apache Spark Streaming and Apache Storm, StreamAnalytix 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: http://streamanalytix.com or write to: inquiry@streamanalytix.com, and follow us on Twitter: https://twitter.com/StreamAnalytix and LinkedIn: http://bit.ly/1Q3LzBy.
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: https://twitter.com/impetustech and LinkedIn: https://www.linkedin.com/company/impetus.
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