|By Jeremy Geelan||
|October 10, 2012 05:00 AM EDT||
With 2nd International Big Data Expo (www.BigDataExpo.net), co-located with Cloud Expo Silicon Valley (11th Cloud Expo), due to open in four weeks' 'time at the Santa Clara Convention Center, CA, let's introduce you in greater detail to the distinguished individuals in our incredible Speaker Faculty for the technical program at the West Coast conference...
We have technical and strategy sessions for you 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 and/or Big Data that is transforming the world of Enterprise IT?
2ND INTERNATIONAL BIGDATAEXPO SESSION TITLE: Scaling Big Data in the Cloud
SESSION DESCRIPTION: http://cloudcomputing.sys-con.com/node/2309638
BRIEF BIOGRAPHY: Cory Isaacson is CEO/CTO of CodeFutures Corporation, maker of dbShards, a leading database scalability suite providing a true “shared nothing” architecture for relational databases. He has authored numerous articles in a variety of publications including SOA Magazine, Database Trends and Applications, and recently authored the book Software Pipelines and SOA (Addison Wesley).
Isaacson has more than twenty years experience with advanced software architectures, and has worked with many of the world’s brightest innovators in the field of high-performance computing. He has spoken at hundreds of public events and seminars, and assisting numerous organizations address the real-world challenges of application performance and scalability -- effectively applying emerging technologies to a variety of fields including social networking, mobile applications, gaming and high volume transaction systems. In his prior position as president of Rogue Wave Software, he actively led the company back to a position of profitable growth, culminating in a successful acquisition by a leading private equity firm.
RECENT BIG DATA QUOTE:
"There are many techniques for partitioning a database, all under the heading of “sharding.” But regardless of which technique you are referring to, the purpose is basically the same – spread your data out in a manner that allows parallel processing across multiple servers, allowing your database to scale with load. Done correctly, the results can be pretty amazing, frankly even surprising some of us on the dbShards team. In short, sharding really works."
[from the dbShards blog]
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