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Donald Miner is founder of the data science firm Miner & Kasch and specializes in large-scale data analysis enterprise architecture and applying machine learning to real-world problems. Donald is author of the O’Reilly book "MapReduce Design Patterns", and the O’Reilly reports “Hadoop with Python” and “What You Need To Know About Hadoop". He has architected and implemented dozens of mission-critical and large-scale data analysis systems within the U.S. Government and Fortune 500 companies. He has applied machine learning techniques to analyze data across several verticals, including financial, retail, telecommunications, healthcare, government intelligence, and entertainment. His PhD is from the University of Maryland, Baltimore County, where he focused on machine learning and multi-agent systems. He lives in Maryland with his wife and three young sons.