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This textbook adopts a unique approach to helping developers and CS students learn Hadoop MapReduce programming fast. Rather than heavily relying on subjective, verbose and sometimes even pompous textual descriptions hadoop essentials a quantitative approach sparse code snippets, this textbook uses Hadoop Java APIs, Hadoop configuration parameters, complete MapReduce programs and their execution logs and outputs to demonstrate how Hadoop MapReduce framework works and how to write MapReduce programs.
In fact, all MapReduce programs presented in the book have been tested and verified in local mode and quantktative such a Linux cluster.
My library Help Advanced Book Search. Liu enjoys writing to help software developers learn new, usable skills fast.
Hadoop Essentials: A Quantitative Approach – Henry H. Liu – Google Books
A Quantitative Approach Henry H. This textbook mainly focuses on teaching Hadoop MapReduce programming in a scientific, objective, quantitative approach. The book can also be used as a supplementary textbook for a distributed computing or Hadoop course offered to upper-division college CS students.
Rather than filled with disjointed, piecemeal code snippets to show Hadoop MapReduce programming features one at a time, it is designed to place your total Hadoop MapReduce programming learning process in a common application context of mining customer spending patterns ensconced in large volumes of credit card transaction record data. Rather than filled with essenials, piecemeal code snippets to show Hadoop MapReduce programming features one at a time, it is designed to place your total Hadoop MapReduce programming His hadoop essentials a quantitative approach include being the author of another book titled Java Performance and Scalability: Hadoop essentials a quantitative approach, this text covers the following subjects: Prior to becoming a software engineer, he had a physicist career and published over 30 research papers in physics while working in the national labs of China, France, Germany, and the United States.
Step-by-step procedures are also given on how to set up a four-node Linux cluster at minimum so that you can run your MapReduce programs not only in local mode on your Mac OS X hadoop essentials a quantitative approach quantitagive also in fully distributed mode on a real cluster. Createspace Independent PubOct 31, – Computers – pages.