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Big data references
- 1. BIG Data References Hadoop& Related Projects By Anish qa.zariga.com
- 2. Hadoop & RelatedProjects • Hadoop in Practice • Programming Hive • Hadoop: The Definitive Guide, Third Edition • Apache Solr 3.1 Cookbook • HBase Administration Cookbook • Hadoop in Action • Pro Hadoop • How to Develop Big Data Applications for Hadoop qa.zariga.com
- 3. Hadoop in Practice •Hadoop in Practice • By Alex Holmes • Manning Publications, October 2012 • ISBN: 9781617290237 • 536 pages, $49.99 Hadoop in Practice collects 85 Hadoop examples and presents them in a problem/solution format. Each technique addresses a specific task you'll face, like querying big data using Pig or writing a log file loader. You'll explore each problem step by step, learning both how to build and deploy that specific solution along with the thinking that went into its design. As you work through the tasks, you'll find yourself growing more comfortable with Hadoop and at home in the world of big data qa.zariga.com
- 4. Programming Hive • ProgrammingHive By Edward Capriolo; Dean Wampler; Jason Rutherglen O’Reilly Media, Inc., September 2012 ISBN: 9781449326944 • This example-driven guide shows you how to set up and configure Hive in your environment, provides a detailed overview of Hadoop and MapReduce, and demonstrates how Hive works within the Hadoop ecosystem. You’ll also find real-world case studies that describe how companies have used Hive to solve unique problems involving petabytes of data. • Use Hive to create, alter, and drop databases, tables, views, functions, and indexes • Customize data formats and storage options, from files to external databases • Load and extract data from tables—and use queries, grouping, filtering, joining, and other conventional query methods • Gain best practices for creating user defined functions (UDFs) • Learn Hive patterns you should use and anti-patterns you should avoid • Integrate Hive with other data processing programs • Use storage handlers for NoSQL databases and other datastores • Learn the pros and cons of running Hive on Amazon’s Elastic MapReduce qa.zariga.com
- 5. Hadoop: The Definitive Guide,Third Edition • Hadoop: The Definitive Guide, ThirdEdition By Tom White O’Reilly Media, October 2010 ISBN: 9781449398644 • Apache Hadoop is ideal for organizations with a growing need to store and process massive application datasets. With this book developers will find details for analyzing large datasets with Hadoop, and administrators will learn how to set up and run Hadoop clusters. The book includes case studies that illustrate how Hadoop is used to solve specific problems qa.zariga.com
- 6. Apache Solr 3.1Cookbook • Apache Solr 3.1 Cookbook By Rafał Kud Packt Publishing, July 2011 ISBN: 9781849512183 • This book is part of Packt's Cookbook series; each chapter looks at a different aspect of working with Apache Solr. The recipes deal with common problems of working with Solr by using easy-to- understand, real-life examples. The book is not in any way a complete Apache Solr reference and you should see it as a helping hand when things get rough on your journey with Apache Solr.Developers who are working with Apache Solr and would like to know how to combat common problems will find this book of great use. Knowledge of Apache Lucene would be a bonus but is not required qa.zariga.com
- 7. HBase Administration Cookbook • HBaseAdministration Cookbook • By Yifeng Jiang • Packt Publishing, August 2012 • ISBN: 9781849517140 • As part of Packt's cookbook series, each recipe offers a practical, step-by-step solution to common problems found in HBase administration. This book is for HBase administrators, developers, and will even help Hadoop administrators. You are not required to have HBase experience, but are expected to have a basic understanding of Hadoop and MapReduce. qa.zariga.com
- 8. Hadoop in Action •Hadoop in Action By Chuck Lam Manning Publications, December 2010 ISBN: 9781935182191 • The book begins by making the basic idea of Hadoop and MapReduce easier to grasp by applying the default Hadoop installation to a few easy-to-follow tasks, such as analyzing changes in word frequency across a body of documents. The book continues through the basic concepts of MapReduce applications developed using Hadoop, including a close look at framework components, use of Hadoop for a variety of data analysis tasks, and numerous examples of Hadoop in action. • Hadoop in Action will explain how to use Hadoop and present design patterns and practices of programming MapReduce. MapReduce is a complex idea both conceptually and in its implementation, and Hadoop users are challenged to learn all the knobs and levers for running Hadoop. This book takes you beyond the mechanics of running Hadoop, teaching you to write meaningful programs in a MapReduce framework qa.zariga.com
- 9. Pro Hadoop • ProHadoop By Jason Venner Apress, June 2009 ISBN: 9781430219422 • From Apress, the name you’ve come to trust for hands–on technical knowledge, Pro Hadoop brings you up to speed on Hadoop. You learn the ins and outs of MapReduce; how to structure a cluster, design, and implement the Hadoop file system; and how to build your first cloud–computing tasks using Hadoop. Learn how to let Hadoop take care of distributing and parallelizing your software—you just focus on the code, Hadoop takes care of the rest qa.zariga.com
- 10. Howto Develop BigData Applicationsfor Hadoop • How to Develop Big Data Applications for Hadoop By Ken Krugler; Shevek M; Chris Wensel; Abe Taha O’Reilly Media, February 2011 ISBN: 9781449305796 qa.zariga.com
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