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Big Data in Motion
Eric Alterman, Co-Founder, Flow
Eric Schnadig, CEO, Tervela
The open source framework Apache Hadoop has traditionally been used for batch oriented processing of very large data sets in a distributed environment, primarily in the context of analytics. As brands begin to focus more on how to reign in and leverage the vast data assets available today for real-time decisioning, we anticipate significant impact and growth of "Big Data In Motion”. The "in motion” represents real-time information flow for handling extremely large streams of data present in a wide variety of businesses, including capital markets, healthcare, energy and social media.
The type of data being handled and analyzed in motion includes structured, semi-structured and unstructured data that is processed and analyzed at very high speeds. Some will argue that we have always had transactional systems that dealt with data in motion. However, as businesses quickly realize big-data is "always on”, the need for continuous real-time analysis of big data increases.
Join us as we bring together business representatives as well as industry experts to discuss this emerging topic in ecosystem of big data.
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