Using InfoSphere Information Server to Integrate and Manage Big Data

Using InfoSphere Information Server to Integrate and Manage Big Data

Available On Demand
Duration 60 Minutes
Speakers
Tony Curcio
Information Server Product Manager
IBM InfoSphere
Tony Curcio
For the past 18 years, Tony has been focused on helping organizations maximize the impact of their data integration investments. After spending several years working in the healthcare industry as a data integration technical specialist, he joined Ardent Software, the originators of DataStage - the ETL technology at the core of IBM InfoSphere Information Server. As part of the World Wide Product Management team, Tony continues to work closely with customers and partners to understand how they are delivering business value and leverages this input to drive IBM's product roadmap strategy.
Leslie Wiggins
Product Strategy & Marketing - InfoSphere
Information Management, IBM Software Group
Leslie Wiggins
Leslie Wiggins is part of the InfoSphere product marketing team within IBM's Information Management division. She specifically is responsible for InfoSphere Information Server product marketing.

Leslie joined IBM in 2002, and has held product management and product marketing roles within WebSphere and an IBM Emerging Business & Technologies unit. Leslie joined the Information Management team in 2006 to focus on master data management technologies and is now focused on information integration. Leslie holds an M.B.A from Georgetown University and a B.A. from the University of Virginia.
Organizations exploring big data analytics, such as Apache Hadoop for data at rest or streaming technology for data in motion, face many of the same challenges as they do with other analytical environments. These challenges include determining the location of the information sources needed for analysis, how that information can be moved into the analytical environment, how it must be reformatted so that it becomes easier and more efficient to explore, and what data should be persisted to quickly get to the next level of analysis.

InfoSphere Information Server v9.1 includes new capabilities that organizations need to integrate the extreme volume, variety and velocity of big data - from new and emerging big data sources. Join us to learn more about how Information Server forms a key piece of the IBM Big Data Platform for next generation analytics.
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