|By PR Newswire||
|January 15, 2013 08:00 AM EST||
SAN MATEO, Calif., Jan. 15, 2013 /PRNewswire/ -- To optimize in-game performance and end-user experience, leading mobile game developer, Machine Zone is using leading end-to-end big data discovery platform, Datameer, for in-game event reporting, clickstream, and player behavior analytics for its next flagship game due out in 2013.
For its most ambitious mobile game to date, Machine Zone is teaming up with Datameer for both ad-hoc and automated in-game analytics, and to conduct machine learning on the estimated terabytes of data to be generated by the games players to truly customize and consistently improve their gaming experiences. Built natively on Hadoop, Datameer is used by a number of gaming companies for in game analytics because Datameer can integrate, analyze and visualize any amount or kind of data.
"Datameer offers both analytics automation and scalability, which we need in order to ensure that the massive amounts of data the game will be generating is immediately actionable for Machine Zone to provide the best possible player experience," said Hal Nakagawa, CTO and Co-Founder of Machine Zone.
"Machine Zone is really on the bleeding edge of mobile in-game analytics and is a great example of how companies can use analytics to optimize user experiences," said Stefan Groschupf, CEO of Datameer. "In the future, we believe all gaming experiences will be built to leverage in-game analytics and Machine Zone is truly one of the trail-blazers in this effort."
Datameer's end-to-end Big Data Discovery solution enables business users to discover insights in any data via wizard-based data integration, iterative point-and-click analytics, and drag-and-drop visualizations, regardless of the data type, size, or source. Founded by Hadoop veterans in 2009, Datameer scales from a laptop to thousands of nodes and is available for all major Hadoop distributions including Apache, Cloudera, EMC, Hortonworks, IBM, MapR, Yahoo!, Amazon and Microsoft Azure. Datameer is based in San Mateo, Calif. For more information on Datameer, please visit www.datameer.com and follow them on Twitter @Datameer
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