Data scientists build information platforms to provide deep insight and answer previously unimaginable questions. Spark and Hadoop are transforming how data scientists work by allowing interactive and iterative data analysis at scale. Learn how Spark and Hadoop enable data scientists to help companies reduce costs, increase profits, improve products, retain customers, and identify new opportunities.
Bruce Martin explores what data scientists do, the problems they solve, and the tools and techniques they use. Through in-class simulations and exercises, Bruce walks you through applying data science methods to real-world challenges in different industries, offering preparation for and experience with data scientist roles in the field.
Bruce Martin is a senior instructor at Cloudera, where he teaches courses on data science, Apache Spark, Apache Hadoop, and data analysis. Previously, Bruce was principle architect and director of advanced concepts at SunGard Higher Education, where he developed the software architecture for SunGard’s Course Signals Early Intervention System, which uses machine-learning algorithms to predict the success of students enrolled in university courses. Bruce’s other roles have included senior staff engineer at Sun Microsystems and researcher at Hewlett-Packard Laboratories. Bruce has written many papers on data management and distributed system technologies and frequently presents his work at academic and industrial conferences. Bruce holds patents on distributed object technologies. Bruce holds a PhD and master’s degree in computer science from the University of California at San Diego and a bachelor’s degree in computer science from the University of California, Berkeley.
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