Streamlining Hadoop for Enterprise Adoption

As Hadoop adoption increases, it has become evident that programming Hadoop is too complex and expensive for mainstream enterprises. Worse, it’s taking too long to find useful insights amid an ocean of low quality, disconnected data. What are the key barriers to Hadoop adoption? How can organizations reduce costs and mitigate data risks? How can they gain quicker access to operational insights? What can they do to improve data quality and reduce total pipeline processing times? This talk will explore strategies that leading organizations are using to streamline Hadoop processing and eliminate adoption challenges.

Mark Hydar brings over 18 year of experience developing and operating large scale data services and platforms. Prior to joining VoltDB, Mark was responsible for Yahoo! Data Services, collecting and processing Yahoo!’s media, search and digital advertising data streams. The Yahoo! Data Services team focused on improving end to end data delivery speeds, increasing data quality and ensuring customer satisfaction. Prior to Yahoo! Mark led Microsoft’s Windows Phone Service Delivery team, successfully developing and implementing best in class cloud mobile services. Mark has architected, developed, deployed and operated “best in class” Enterprise Management Platforms for General Motors (EDS), Blue Cross Blue Shield of Michigan, Excite@Home and eBay. Mark has been a technical advisor for BMC, IBM, Gomez, Keynote, and MakesBridge Technology, and holds several U.S. patents. He is a graduate of Ferris State University.