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Author
Publisher
Manning
Physical Desc
1 online resource (1 volume) : illustrations
Language
English
Description
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...
Publisher
O'Reilly Media
Pub. Date
©2012
Physical Desc
1 online resource (1 streaming video file (101 hr., 46 min., 59 sec.))
Language
English
Description
"The future clearly belongs to those who understand how to collect and use their data successfully, and the time to get started is now. At the Strata Conference, people from tech, marketing, and many other fields gathered to learn the latest skills, tools, and technologies for making a data-driven business work. This video compilation offers you a front row seat for every tutorial, session, and keynote at the conference."--Resource description page....
Author
Publisher
O'Reilly Media
Pub. Date
©2011
Physical Desc
1 online resource (1 streaming video file (37 min., 1 sec.))
Language
English
Description
"Organizations today possess massive data - in tera- and petabytes - that needs to be effectively collected, stored and processed. Hadoop is a cost effective option that helps manage this big data. To derive real returns from these big data systems, one needs to extract useful insights and business intelligence."--Resource description page.
Author
Series
Language
English
Description
Get ready to unlock the power of your data. With the fourth edition of this comprehensive guide, you'll learn how to build and maintain reliable, scalable, distributed systems with Apache Hadoop. This book is ideal for programmers looking to analyze datasets of any size, and for administrators who want to set up and run Hadoop clusters. Using Hadoop 2 exclusively, author Tom White presents new chapters on YARN and several Hadoop-related projects such...
Author
Publisher
O'Reilly Media
Pub. Date
©2012
Edition
1st ed.
Physical Desc
1 online resource (1 volume) : illustrations
Language
English
Description
Need to move a relational database application to Hadoop? This comprehensive guide introduces you to Apache Hive, Hadoop's data warehouse infrastructure. You'll quickly learn how to use Hive's SQL dialect--HiveQL--to summarize, query, and analyze large datasets stored in Hadoop's distributed filesystem. 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...
Publisher
O'Reilly Media
Pub. Date
2012
Physical Desc
1 online resource (1 streaming video file (94 hr., 11 min., 24 sec.))
Language
English
Description
"Explore the changes brought to technology and business by big data, data science, and pervasive computing with this complete video compilation of workshops and sessions from Strata Conference New York and Hadoop World 2012. With well over 100 hours of content, this video package includes the latest information on the skills, tools, and technologies you need to make data work, and build a data-driven business."--Resource description page.
10) Programming Pig
Author
Language
English
Description
For many organizations, Hadoop is the first step for dealing with massive amounts of data. The next step? Processing and analyzing datasets with the Apache Pig scripting platform. With Pig, you can batch-process data without having to create a full-fledged application, making it easy to experiment with new datasets. Updated with use cases and programming examples, this second edition is the ideal learning tool for new and experienced users alike....
Author
Publisher
O'Reilly
Pub. Date
2012
Physical Desc
1 online resource (xvi, 232 pages) : illustrations
Language
English
Description
Until now, design patterns for the MapReduce framework have been scattered among various research papers, blogs, and books. This handy guide brings together a unique collection of valuable MapReduce patterns that will save you time and effort regardless of the domain, language, or development framework you're using. Each pattern is explained in context, with pitfalls and caveats clearly identified to help you avoid common design mistakes when modeling...
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