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:
- Registration opens: Wednesday, Feb. 8. Contestants can register and view contest instructions and see the problem statement at http://www.streamanalytix.com/contest.
- StreamAnalytix community forum: The forum will be live at http://forum.streamanalytix.com, allowing contestants to engage in contest- and product- related conversations.
- Registration and contest closes: Friday, March 31 at 2 p.m. PT.
- Submission: The contest and all support resources will be available through March 31 and contestants can make submissions anytime in this duration.
- Results: Winners will be announced by email and on the contest website on Monday, April 17.
- Prizes: First place will receive $10,000, second place: $5,000 and third place: $3,000. A student winner will also be awarded $2,000. Instructions for receiving the cash prize will be sent to the winners by email.
"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.
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: email@example.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: firstname.lastname@example.org, and follow us on Twitter: https://twitter.com/impetustech and LinkedIn: https://www.linkedin.com/company/impetus.
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SOURCE Impetus Technologies