August 9, 2012 This webinar has passed. The recording is available On Demand.
Time: 2 PM Eastern / 11 AM Pacific
Price: Free to all attendees.
This webinar is sponsored by:
About the Webinar
This webinar will look at popular applications of Big Data technology, particularly analytics and the wide variety of technologies that can be brought to bear on Big Data problems. The speakers, who have each worked with Big Data for more than two decades, will set the scene by describing commonly used workflows that use conventional and NoSQL repositories, extract/translate/load and analysis tools.
They will then describe a new approach to extracting value from Big Data that combines existing tools, such as relational databases and Hadoop, with a distributed graph database and advanced visual analytics to create a highly extensible Big Data Connection Platform.
Note! All attendees will be entered to win a free pass to the NoSQL Now! Conference & Expo in San Jose, CA August 21-23. Must attend to be entered to win.
About the Speaker
Leon Guzenda, Founder
He currently works with Objectivity’s major customers to help them effectively develop and deploy complex applications and systems that use the industry’s highest-performing, most reliable DBMS technology, Objectivity/DB. He also liaises with technology partners and industry groups to help ensure that Objectivity/DB remains at the forefront of database and distributed computing technology.
Leon has more than 35 years experience in the software industry. At Automation Technology Products, he managed the development of the ODBMS for the Cimplex solid modeling and numerical control system. Before that, he was Principal Project Director for International Computers Ltd. in the United Kingdom, delivering major projects for NATO and leading multinationals. He was also design and development manager for ICL’s 2900 IDMS product. He spent the first 7 years of his career working in defense and government systems.
Leon has a B.S. degree in Electronic Engineering from the University of Wales.