HADOOP ESSENTIALS A QUANTITATIVE APPROACH PDF

I help businesses improve their return on investment from big data projects. I do everything from software architecture to staff training. Learn More. If you want to learn more about Hadoop there are many resources at your disposal, one such resource is books. This book is great for really understanding how everything works and how all the systems fit together.

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I help businesses improve their return on investment from big data projects. I do everything from software architecture to staff training. Learn More. If you want to learn more about Hadoop there are many resources at your disposal, one such resource is books. This book is great for really understanding how everything works and how all the systems fit together. Hadoop Operations by Eric Sammer. This is the book if you need to know the ins and outs of prototyping, deploying, configuring, optimizing, and tweaking a production Hadoop system.

Eric Sammer is a very knowledgeable engineer, so this book is chock full of goodies. Design Patterns is a great resource to get some insight into how to do non-trivial things with Hadoop. This book goes into useful detail on how to design specific types of algorithms, outlines why they should be designed that way, and provides examples. Hadoop in Action by Chuck Lam. It seems like this book provides a more gentle introduction to Hadoop compared to the other books in this list. Hadoop in Practice by Alex Holmes.

A slightly more advanced guide to running Hadoop. It includes chapters that detail how to best move data around, how to think in Map Reduce, and importantly how to debug and optimize your jobs. This A-Press book claims it will guide you through initial hadoop set up while also helping you avoid many of the pitfalls that usual Hadoop novices encounter.

Another Hadoop intro book, Hadoop Essentials focuses on providing a more practical introduction to Hadoop which seems ideal for a CS classroom setting. A book which aims to provide real-world examples of common hadoop problems. It also covers building integrated solutions using surrounding tools hive, pig, girafe, etc.

Enterprise Data Workflows with Cascading. Released July this book promises to guide readers through writing and testing Cascading based workflows. Apache Hadoop Yarn by Arun Murthy et al. This book is written in part by the YARN project founder, and the project lead. It aims to be a consise, practical guide to get you coding. Programming Pig by Alan Gates. Programming Pig describes pig, walks you through how to use it, and helps you understand how to extend it.

This book is to HBase what the Hadoop Guide is to Hadoop, a comprehensive walk-through of HBase, how it works, how to use it, and how it is designed. Apache Mahout is a set of machine learning libraries for Hadoop. This book provides a hands-on introduction and some sample use-cases. Fast data processing with Spark by Holden Karau. Holden walks through the ins and outs of Apache Spark including set up, interactive querying, and job deployment. Russell introduces his own version of an agile tool-set for data analysis and exploration.

The book covers both investigative tools like Apache Pig , and visualization tools like D3. His pitch is pretty compelling. Share Tweet Post. Data Nerd. Lucky husband and father. Background image from Subtle Patterns.

Hadoop Operations by Eric Sammer This is the book if you need to know the ins and outs of prototyping, deploying, configuring, optimizing, and tweaking a production Hadoop system. Pro Hadoop by Jason Venner This A-Press book claims it will guide you through initial hadoop set up while also helping you avoid many of the pitfalls that usual Hadoop novices encounter. Enterprise Data Workflows with Cascading Released July this book promises to guide readers through writing and testing Cascading based workflows.

Fast data processing with Spark by Holden Karau Holden walks through the ins and outs of Apache Spark including set up, interactive querying, and job deployment. Bonus Agile Data by Russell Jurney Russell introduces his own version of an agile tool-set for data analysis and exploration. Hire me to supercharge your Hadoop and Spark projects I help businesses improve their return on investment from big data projects.

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15+ Great Books for Hadoop

Hadoop Essentials : A Quantitative Approach. Henry H. This textbook 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. 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.

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