Free Ebook Hadoop Essentials: A Quantitative ApproachBy Henry H. Liu

Free Ebook Hadoop Essentials: A Quantitative ApproachBy Henry H. Liu

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Hadoop Essentials: A Quantitative ApproachBy Henry H. Liu

Free Ebook Hadoop Essentials: A Quantitative ApproachBy Henry H. Liu

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Update (March 14, 2014): This book has been upgraded to Hadoop 2/YARN with a new title of Hadoop 2 Essentials: An End-to-End Approach. Step-by-step procedures are given about how to set up a 4-node YARN Linux virtual cluster built with VMware Workstation 10 on a Windows laptop.  You can check the new edition out by searching "Hadoop 2 henry liu" on Amazon, especially if you are interested in building a similar Hadoop 2/YARN virtual cluster on a Windows PC.      

This textbook works with the latest Hadoop stable release of 1.0.4. It adopts a unique approach to helping developers and CS students learn Hadoop MapReduce programming fast. 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. Precise, end-to-end procedures are given to help you set up your Hadoop MapReduce development environment quickly on Eclipse with Maven on Mac OS X or Linux. 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 but also in fully distributed mode on a real cluster. In fact, all MapReduce programs presented in the book have been tested and verified in local mode and on such a Linux cluster.

This textbook mainly focuses on teaching Hadoop MapReduce programming in a scientific, objective, quantitative approach. 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. Specifically, this text covers the following subjects:

* Introduction to Hadoop
* Setting up a Linux Hadoop Cluster
* The Hadoop Distributed FileSystem
* MapReduce Job Orchestration and Workflows
* Basic MapReduce Programming
* Advanced MapReduce Programming
* Hadoop Streaming
* Hadoop Administration

No matter what role you play on your team, this text can help you gain truly applicable Hadoop skills in a most effective and efficient manner. The book can also be used as a supplementary textbook for a distributed computing or Hadoop course offered to upper-division college CS students.

• Sales Rank: #1863396 in Books
• Published on: 2012-10-31
• Original language: English
• Number of items: 1
• Dimensions: 9.25" h x .81" w x 7.50" l, 1.36 pounds
• Binding: Paperback
• 356 pages

From the Author
Update (March 14, 2014): This book has been upgraded to Hadoop 2/YARN with a new title of Hadoop 2 Essentials: An End-to-End Approach. Step-by-step procedures are given about how to set up a 4-node YARN Linux virtual cluster using VMware Workstation 10 on a Windows laptop.  You can check the new edition out by searching "Hadoop 2 henry liu" on Amazon, especially if you are interested in building a similar Hadoop 2/YARN virtual cluster on a Windows PC.      
         

Update (May 1, 2013): It has been verified that the MapReduce samples presented in the book work with the latest Hadoop stable release of 1.0.4. The upgrade procedure has been posted on the book's website.


This book teaches Hadoop MapReduce programming. Written in a unique quantitative approach, this book helps you learn all about Hadoop MapReduce programming within a matter of several weeks if you are a Java developer or within a semester in a classroom environment for upper-division CS students. Enhanced with precise procedures and working, non-word-counting MapReduce programs, you will learn not only how to write MapReduce programs but also how they work at the Hadoop API and workflow levels. The book also includes sanitized console outputs so that you can verify whether those MapReduce programs work as expected in your Mac or Linux environment. This is a proven approach to learning Hadoop MapReduce programming most effectively and efficiently. If you are a college professor and interested in an evaluation copy (U.S. only), please visit the book's website (www dot perfmath dot com) and contact the author using your verifiable email address.

About the Author
HENRY H. LIU, PHD, is a Software Engineer specializing in developing distributed, high performing, scalable enterprise software products. He is a certified Sun Enterprise Java Architect, IBM XML Developer, and Microsoft .Net Developer. 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. His honors include being the author of the highly acclaimed Software Performance and Scalability: A Quantitative Approach (Wiley, 2009),  an Alexander von Humboldt Research Fellow in Germany, and a  CMG 2004 Best Paper Award recipient for applying queuing theory to analyzing software performance. He is particularly encouraged that over 600 universities/colleges world-wide have used his works in teaching software technologies to CS students.

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Download PDF Chemical Sensors and Biosensors: Fundamentals and ApplicationsBy Florinel-Gabriel Banica

Download PDF Chemical Sensors and Biosensors: Fundamentals and ApplicationsBy Florinel-Gabriel Banica

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Chemical Sensors and Biosensors: Fundamentals and ApplicationsBy Florinel-Gabriel Banica

Download PDF Chemical Sensors and Biosensors: Fundamentals and ApplicationsBy Florinel-Gabriel Banica

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This is a modern introductory book on sensors, combining underlying theory with bang up to date topics such as nanotechnology. The text is suitable for graduate students and research scientists with little background in analytical chemistry. It is user-friendly, with an accessible theoretical approach of the basic principles, and references for further reading. The book covers up-to-date advances in the sensor field, e.g. nanotechnology and quantum dots. It includes calculation exercises and solutions, and the  accompanying website contains Powerpoint slides.

• Sales Rank: #1349421 in Books
• Published on: 2012-10-04
• Original language: English
• Number of items: 1
• Dimensions: 11.70" h x 1.18" w x 8.32" l, 3.25 pounds
• Binding: Paperback
• 576 pages

Review

“Summary In conclusion it can be stated that this book is very suitable for students and a sound didactic means of learning the basics of chemo and biosensors . . . The organization of the content and the quantity of material presented are highly suitable for undergraduate and graduate students and for newcomers to this field; it can, therefore, be recommended for those wishing to gain both a first insight into, and a comprehensive overview of, this still growing topic.”  (Analytical and Bioanalytical Chemistry, 1 March 2013)

From the Back Cover

Key features include:

• Self-assessment questions and exercises
• Chapters start with essential principles, then go on to address more advanced topics  
• More than 1300 references to direct the reader to key literature and further reading
• Highly illustrated with 450 figures, including chemical structures and reactions, functioning principles, constructive details and response characteristics

Chemical sensors are self-contained analytical devices that provide real-time information on chemical composition. A chemical sensor integrates two distinct functions: recognition and transduction. Such devices are widely used for a variety of applications, including clinical analysis, environment monitoring and monitoring of industrial processes. This text provides an up-to-date survey of chemical sensor science and technology, with a good balance between classical aspects and contemporary trends. Topics covered include: 

• Structure and properties of recognition materials and reagents, including synthetic, biological and biomimetic materials, microorganisms and whole-cells
• Physicochemical basis of various  transduction methods (electrical, thermal, electrochemical, optical, mechanical and acoustic wave-based)
• Auxiliary materials used e.g. synthetic and natural polymers, inorganic materials, semiconductors, carbon and metallic materials
• properties and applications of advanced materials (particularly nanomaterials) in the production of chemical sensors and biosensors
• Advanced manufacturing methods
• Sensors obtained by combining particular transduction and recognition methods
• Mathematical modeling of chemical sensor processes

Suitable as a textbook for graduate and final year undergraduate students, and also for researchers in chemistry, biology, physics, physiology, pharmacology and electronic engineering, this bookis valuable to anyone interested in the field of chemical sensors and biosensors.

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