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MapReduce, Hadoop, and other “NoSQL” big data approaches open opportunities for data scientists in every industry to develop new data-driven applications for digital marketing optimization and social network analysis through the power of iterative, big data analysis. But what about the business user or analyst? How can they unlock insights through standard business intelligence (BI) tools or SQL access? The challenge with emerging big data technologies is finding staff with the specialized skill sets of the data scientist to implement and use these solutions. Business leaders and enterprise architects struggle to understand, implement, and integrate these big data technologies with their existing business processes and IT investments and provide value to the business.
This session will explore a new class of analytic platforms and technologies such as SQL-MapReduce® which bring the science of data to the art of business. By fusing standard business intelligence and analytics with next-generation data processing techniques such as MapReduce, big data analysis is no longer just in the hands of the few data science or MapReduce specialists in an organization! You’ll learn how business users can easily access, explore, and iterate their analysis of big data to unlock deeper sights. See example applications with digital marketing optimization, fraud detection and prevention, social network and relationship analysis, and more.
This session is sponsored by Aster Data
Tasso Argyros is Vice President for Marketing and Product Management within the Aster Data Center of Innovation. Tasso has a background in data management, data mining and large-scale distributed systems. Before co-founding Aster Data, he was in the Ph.D. program at Stanford University.
Tasso is responsible for Aster Data’s marketing and product management strategy. He works with customers, partners, and industry leaders to help define the technology requirements created by the need to address the rapid emergence of diverse new types of data and diverse new types of analytics. He leverages his experience across the full technology solution stack to identify ways in which Aster Data technology can help to deliver solutions for big data analytics that apply to leading challenges across industries.
Aster Data was an early entrant and is a current leader in the Big Data space, bringing deep insights on massive and diverse data analyzed on clusters of commodity hardware. Aster Data was backed by top tier investors including Cambrian Ventures, First Round Capital, IVP, Ron Conway, and Sequoia Capital. The company was acquired by Teradata in early 2011 and is now a Teradata division.
Tasso earned an MS, Computer Science at Stanford University and has a degree in Electrical and Computer Engineering from Ethniko Metsovio Polytechnico (Athens, Greece). Tasso was also recognized as one of Bloomberg BusinessWeek’s Best Young Tech Entrepreneurs for 2009.
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