: Hadoop Essentials: A Quantitative Approach () by Henry H Liu and a great selection of similar New, Used and Collectible. Hadoop Essentials: A Quantitative Approach by Henry H Liu. Buy Hadoop Essentials: A Quantitative Approach online for Rs. () – Free Shipping and Cash on . Hadoop Essentials: A Quantitative Approach (Henry H. Liu) at Booksamillion. com.
|Published (Last):||28 October 2005|
|PDF File Size:||11.78 Mb|
|ePub File Size:||6.63 Mb|
|Price:||Free* [*Free Regsitration Required]|
Prior to becoming a software engineer, he had a physicist career and published over appgoach research papers in physics while working in the national labs of China, France, Germany, and the United States.
Rather than heavily relying on subjective, verbose and sometimes even pompous textual descriptions with sparse code snippets, this textbook hadoop essentials a quantitative approach Hadoop Java APIs, Hadoop configuration parameters, complete Badoop programs and their execution logs and outputs to demonstrate how Hadoop MapReduce framework works and how to write MapReduce programs. My library Help Advanced Book Search.
Createspace Independent PubOct 31, – Computers – pages. In fact, all MapReduce programs presented in the quantitativve have been tested and verified in local mode and on such a Linux cluster.
hadoop essentials a quantitative approach
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 Specifically, this text covers the following subjects: A Quantitative Approach Henry H. This textbook mainly focuses on teaching Hadoop Approahc programming in a scientific, objective, quantitative approach.
This textbook adopts a unique approach to helping developers and CS students learn Hadoop MapReduce programming fast. 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 essentizls on a hacoop cluster.
Rather than filled with disjointed, piecemeal code snippets hadoop essentials a quantitative approach 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.
Liu enjoys writing to help software hadoop essentials a quantitative approach learn new, usable skills fast. The book can also be used as a supplementary textbook for a distributed computing or Hadoop course offered to upper-division college CS students. His honors include being the author of another book titled Java Performance and Scalability: