|By Jeremy Geelan||
|June 10, 2012 06:00 AM EDT||
With BigDataExpo 2012 New York (www.BigDataExpo.net), co-located with 10th Cloud Expo, due to kick off next week for 4 days of high-energy networking and discussions, what better time to remind you in greater detail of the distinguished individuals in our incredible Speaker Faculty for the technical and strategy sessions at the conference...?
We have technical and strategy sessions for you every day from June 11 through June 14 dealing with every nook and cranny of Cloud Computing and Big Data, but what of those who are presenting? Who are they, where do they work, what else have they written and/or said about the Cloud that is transforming the world of Enterprise IT, side by side with the exploding use of enterprise Big Data – processed in the Cloud – to drive value for businesses...?
BIGDATAEXPO EXPO SPEAKER NAME: Eric Baldeschwieler
BIGDATAEXPO SESSION TITLE: Apache Hadoop: Now, Next, and Beyond
SESSION DESCRIPTION: http://cloudcomputing.sys-con.com/node/2162513
BRIEF BIOGRAPHY: Eric Baldeschwieler is Co-Founder & CEO of Hortonworks. Prior to co-founding Hortonworks, he served as VP Hadoop Software Engineering for Yahoo!, where he led the evolution of Apache Hadoop from a 20-node prototype to a 42,000-node service that is behind every click at Yahoo!. Baldeschwieler also served as a technology leader for Inktomi’s web service engine, which Yahoo! acquired in 2003. Prior to Inktomi, he developed software for video games, video post production systems and 3D modeling systems.
BLOG: Frequent contributor to Hortonworks company blog
RECENT BIG DATA QUOTE:
"When Hortonworks was officially announced at Hadoop Summit, we explained that our strategy was going to focus on accelerating the development and adoption of Apache Hadoop. We made bold statements about the opportunities that Apache Hadoop had to become the de facto platform for big data.
We even predicted that half of the world’s data would be processed by Apache Hadoop within five years. We also talked about how in order for all of that to happen, we needed to address the technical and knowledge gaps that exist. We needed to heavily invest in engineering to make Hadoop easier to install, manage and use for enterprises and more open and extensible for a growing ecosystem of technology and service providers."
[from From the Hortonworks company blog]
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