Vermeulenis Consulting Manager of Business Intelligence, Big Data, Data ... and speaker/author/columnist on data science
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From the Back Cover Learn how to build a data science technology stack and perform good data science with repeatable methods. You will learn how to turn data lakes into business assets.The data science technology stack demonstrated inPractical Data Scienceis built from components in general use in the industry. Data scientist Andreas Vermeulen demonstrates in detail how to build and provision a technology stack to yield repeatable results. He shows you how to apply practical methods to extract actionable business knowledge from data lakes consisting of data from a polyglot of data types anddimensions.What You'll Learn:Become fluent in the essential concepts and terminology of data science and data engineeringBuild and use a technology stack that meets industry criteriaMaster the methods for retrieving actionable business knowledgeCoordinate the handling of polyglot data types in a data lake for repeatable results Read more About the Author Andreas Franois Vermeulenis Consulting Manager of Business Intelligence, Big Data, Data Science, and Computational Analytics at Sopra-Steria, and a postdoctoral researcher at the University of Dundee and University of St Andrews on future concepts in massive distributed computing, mechatronics, big data, business intelligence, and deep learning. Andreas owns and incubates the Rapid Information Factory data processing framework. Active in developing next-generation processing frameworks and mechatronics engineering with over 35 years of international experience in data processing, software development, and system architecture, Andreas is a data scientist, doctoral trainer, corporate consultant, principal systems architect, and speaker/author/columnist on data science, distributed computing, big data, business intelligence, and deep learning. Andreas is coauthor of Practical Hive: A Guide to Hadoop's Data Warehouse System. He received his BS from the North West University at Potchefstroom, his MBA from the University of Manchester, and his MS and PhD in Business Intelligence and Data Science from the University of Dundee and University of St Andrews. Read more Click Here to Read Practical Data Science: A Guide to Building the Technology Stack for Turning Data Lakes into Business Assets Online!
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