Learning Cascading - Softcover

Michael Covert; Victoria Loewengart

Softcover

ISBN 10: 1785288911 ISBN 13: 9781785288913

Publisher: Packt Publishing - ebooks Account, 2015

Synopsis

This book is intended for software developers, system architects, system analysts, big data project managers, and data scientists who wish to deploy big data solutions using the Cascading framework in their organization. You must have a basic understanding of the big data paradigm and should be familiar with Java development techniques.

About this title

About the Author

Michael Covert

Michael Covert, CEO, Analytics Inside LLC, has significant experience in a variety of business and technical roles. Michael is a mathematician and computer scientist and is involved in machine learning, deep learning, predictive analytics, graph theory, and big data. He earned a bachelor's of science degree in mathematics with honors and distinction from The Ohio State University. He also attended it as a PhD student, specializing in machine learning and high-performance computing. Michael is a Cloudera Hadoop Certified Developer. Michael served as the vice president of performance management in Whittman-Hart, Inc., based in Chicago, and as the chief operating officer of Infinis, Inc., a business intelligence consulting company based in Columbus, Ohio. Infinis merged with Whittman-Hart in 2005. Prior to working at Infinis, Michael was the vice president of product development and chief technology officer at Alta Analytics, and the producer of data mining and visualization software. In addition to this, he has served in technology management roles for Claremont Technology Group, Inc., where he was the director of advanced technology.

Edition details

• Publisher: Packt Publishing - ebooks Account
• Publication date: 2015
• Language: English
• ISBN 10: 1785288911
• ISBN 13: 9781785288913
• Binding: Paperback
• Number of pages: 276