How big data could have saved the "Game of Thrones" season premier


By Bright Staff | August 21, 2014 | Big Data, Hadoop




There was so much pent up demand for the season premier of "Game of Thrones" that HBO GO was overloaded, leaving hundreds of thousands of people unable to watch the show when and where they wanted to, according to an  article from Venture Beat.

Had big data analytics been used, the article stated, the problems that plagued the show's premier and has caused a number of other performance issues with popular series and reality show voting could have been avoided. The operational intelligence could have helped the providers to predict spikes in demand and manage the network infrastructure in order to shoulder the demand. Using big data to view all aspects of their network, content providers can prevent system overloads like the one that afflicted the "Game of Thrones" premier.

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