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Learning Hadoop 2. Design and implement data processing, lifecycle management, and analytic workflows with the cutting-edge toolbox of Hadoop 2

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Learning Hadoop 2. Design and implement data processing, lifecycle management, and analytic workflows with the cutting-edge toolbox of Hadoop 2 Gerald Turkington, GABRIELE MODENA - okladka książki

Learning Hadoop 2. Design and implement data processing, lifecycle management, and analytic workflows with the cutting-edge toolbox of Hadoop 2 Gerald Turkington, GABRIELE MODENA - okladka książki

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Garry Turkington has over 15 years of industry experience, most of which has been focused on the design and implementation of large-scale distributed systems. In his current role as the CTO at Improve Digital, he is primarily responsible for the realization of systems that store, process, and extract value from the company's large data volumes. Before joining Improve Digital, he spent time at Amazon.co.uk, where he led several software development teams, building systems that process the Amazon catalog data for every item worldwide. Prior to this, he spent a decade in various government positions in both the UK and the USA.
Gabriele Modena is a data scientist at Improve Digital. In his current position, he uses Hadoop to manage, process, and analyze behavioral and machine-generated data. Gabriele enjoys using statistical and computational methods to look for patterns in large amounts of data. Prior to his current job in ad tech he held a number of positions in Academia and Industry where he did research in machine learning and artificial intelligence. He holds a BSc degree in Computer Science from the University of Trento, Italy and a Research MSc degree in Artificial Intelligence: Learning Systems, from the University of Amsterdam in the Netherlands.

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