Poetry Madness
 
 

Recently Viewed clear list


Original Essays | April 11, 2014

Paul Laudiero: IMG Shit Rough Draft



I was sitting in a British and Irish romantic drama class my last semester in college when the idea for Shit Rough Drafts hit me. I was working... Continue »
  1. $9.07 Sale Trade Paper add to wish list

spacer
Qualifying orders ship free.
$49.99
New Trade Paper
Ships in 1 to 3 days
Add to Wishlist
Qty Store Section
1 Beaverton Internet- Servers
1 Burnside - Bldg. 2 Internet- Apache
14 Local Warehouse General- General
24 Remote Warehouse Computers Reference- General

Hadoop in Practice

by

Hadoop in Practice Cover

 

Synopses & Reviews

Publisher Comments:

Summary

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. About the Technology

Hadoop is an open source MapReduce platform designed to query and analyze data distributed across large clusters. Especially effective for big data systems, Hadoop powers mission-critical software at Apple, eBay, LinkedIn, Yahoo, and Facebook. It offers developers handy ways to store, manage, and analyze data. About the Book

Hadoop in Practice collects 85 battle-tested examples and presents them in a problem/solution format. It balances conceptual foundations with practical recipes for key problem areas like data ingress and egress, serialization, and LZO compression. You'll explore each technique step by step, learning how to build a specific solution along with the thinking that went into it. As a bonus, the book's examples create a well-structured and understandable codebase you can tweak to meet your own needs.

This book assumes the reader knows the basics of Hadoop.

Purchase of the print book comes with an offer of a free PDF, ePub, and Kindle eBook from Manning. Also available is all code from the book. What's Inside

  • Conceptual overview of Hadoop and MapReduce
  • 85 practical, tested techniques
  • Real problems, real solutions
  • How to integrate MapReduce and R
Table of Contents
    PART 1 BACKGROUND AND FUNDAMENTALS
  1. Hadoop in a heartbeat
  2. PART 2 DATA LOGISTICS
  3. Moving data in and out of Hadoop
  4. Data serialization?working with text and beyond
  5. PART 3 BIG DATA PATTERNS

  6. Applying MapReduce patterns to big data
  7. Streamlining HDFS for big data

  8. Diagnosing and tuning performance problems
  9. PART 4 DATA SCIENCE
  10. Utilizing data structures and algorithms
  11. Integrating R and Hadoop for statistics and more
  12. Predictive analytics with Mahout
  13. PART 5 TAMING THE ELEPHANT
  14. Hacking with Hive
  15. Programming pipelines with Pig

  16. Crunch and other technologies
  17. Testing and debugging

Synopsis:

Hadoop is a framework organizing large clusters of computers around a problem. Because it's especially effective for big data, many well-known companies use Hadoop, including Facebook, Yahoo, Apple, eBay and LinkedIn. Hadoop in Practice collects nearly 100 Hadoop examples and presents them in a problem/solution format. Each technique explores a problem step-by-step, teaching both how to build that specific solution and the thinking that went into its design. As readers work through the tasks, they'll find themselves growing more comfortable with Hadoop and at home in the world of big data.

About the Author

Alex Holmes is a Software Engineer with over a decade of experience developing large scale distributed Java systems. He currently is a technical lead at VeriSign, using Hadoop as a Big Data platform. Alex previously developed an Internet crawl, analysis, and search system using Hadoop and machine classification algorithms.

Product Details

ISBN:
9781617290237
Author:
Holmes, Alex
Publisher:
Manning Publications
Subject:
Database Management - General
Subject:
Big Data;Cascading;EC2;Hadoop;Hama;Hive;Holmes;Lucene;MapReduce;NoSQL;Pig;Pregel;cloud;cluster;computing;databases;key;scalable;search;software;text analytics
Copyright:
Edition Description:
Trade Paper
Publication Date:
20121010
Binding:
Paperback
Language:
English
Pages:
536
Dimensions:
9.25 x 7.38 in

Related Subjects

Computers and Internet » Computers Reference » General
Computers and Internet » Database » Design
Computers and Internet » Internet » Apache
Computers and Internet » Internet » Servers
Computers and Internet » Software Engineering » Software Management
Computers and Internet » Software Engineering » Tools

Hadoop in Practice New Trade Paper
0 stars - 0 reviews
$49.99 In Stock
Product details 536 pages Manning Publications - English 9781617290237 Reviews:
"Synopsis" by ,

Hadoop is a framework organizing large clusters of computers around a problem. Because it's especially effective for big data, many well-known companies use Hadoop, including Facebook, Yahoo, Apple, eBay and LinkedIn. Hadoop in Practice collects nearly 100 Hadoop examples and presents them in a problem/solution format. Each technique explores a problem step-by-step, teaching both how to build that specific solution and the thinking that went into its design. As readers work through the tasks, they'll find themselves growing more comfortable with Hadoop and at home in the world of big data.

spacer
spacer
  • back to top
Follow us on...




Powell's City of Books is an independent bookstore in Portland, Oregon, that fills a whole city block with more than a million new, used, and out of print books. Shop those shelves — plus literally millions more books, DVDs, and gifts — here at Powells.com.