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 Teradata Aster
Tasso Argyros is Co-President, Teradata Aster, leading the Aster Center of Innovation. Tasso has a background in data management, data mining and large-scale distributed systems. Before founding Aster Data, he was in the Ph.D. program at Stanford University.
Tasso was recognized as one of Bloomberg BusinessWeek’s Best Young Tech Entrepreneurs for 2009. He holds a Master’s Degree in Computer Science from Stanford University and a Diploma in Computer Engineering from Technical University of Athens.
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