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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 machine but also in fully distributed mode on a real cluster.
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. My library Help Advanced Book Search. Createspace Independent PubOct 31, – Computers – pages.
Liu enjoys writing to help software developers learn new, usable skills fast. This textbook mainly focuses on teaching Hadoop MapReduce programming in a scientific, objective, quantitative approach.
A Quantitative Approach Henry H. This textbook adopts a unique approach to helping developers and CS students learn Hadoop Hadoop essentials a quantitative approach programming fast. Specifically, this text covers the following subjects: His honors include being the author of another book titled Java Performance and Scalability: In fact, all MapReduce hadoop essentials a quantitative approach presented in the book have been tested and verified in local mode and on such a Linux cluster.
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 hadoop essentials a quantitative approach of mining customer spending patterns ensconced in large volumes of credit card transaction record data. Rather than filled with auantitative, piecemeal code snippets to show Hadoop MapReduce hadoop essentials a quantitative approach features one at a time, it is designed to place your total Hadoop MapReduce programming Rather than heavily relying on subjective, verbose and sometimes even pompous textual descriptions with 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.