Pro Apache Hadoop

Pro Apache Hadoop
Sameer Wadkar (Author), Madhu Siddalingaiah (Author), Jason Venner (Author)

New!: $44.99 $31.20 (as of 08/30/2014 22:40 PST)

Hardware

ZooKeeper: Distributed process coordination

ZooKeeper: Distributed process coordination
Flavio Junqueira (Author), Benjamin Reed (Author)

New!: $29.99 $24.44 (as of 09/29/2013 21:01 PST)

Hardware

If you’re involved in large Hadoop projects, this book shows you how ZooKeeper simplifies the task of implementing a distributed system. Implementing coordination tasks with ZooKeeper is not entirely trivial. There are still subtle points and caveats to watch out for. With this book, ZooKeeper contributors Flavio Junqueira and Benjamin Reed provide good practices for building systems with this Apache software tool.

This book also:

• Introduces a master-worker architecture as a running example
• Includes examples of coordination primitives in the master-worker architecture, in addition to examples of real systems with those requirements
• Presents information on handling events and changes in the system, specifically dealing with disconnected events and session expirations
• Shows you how to download and install a Zookeeper release, including how to choose a cluster configuration

• Rank: #87534 in Books
• Published on: 2013-11-29
• Original language: English
• Number of items: 1
• Dimensions: .0" h x .0" w x .0" l, .0 pounds
• Binding: Paperback
• 225 pages

Big Data: Principles and best practices of scalable realtime data systems

Big Data: Principles and best practices of scalable realtime data systems
Nathan Marz (Author), James Warren (Author)

New!: $49.99 $26.36 (as of 05/11/2013 08:31 PST)

Hardware

Services like social networks, web analytics, and intelligent e-commerce often need to manage data at a scale too big for a traditional database. As scale and demand increase, so does Complexity. Fortunately, scalability and simplicity are not mutually exclusive—rather than using some trendy technology, a different approach is needed. Big data systems use many machines working in parallel to store and process data, which introduces fundamental challenges unfamiliar to most developers.

Big Data shows how to build these systems using an architecture that takes advantage of clustered hardware along with new tools designed specifically to capture and analyze web-scale data. It describes a scalable, easy to understand approach to big data systems that can be built and run by a small team. Following a realistic example, this book guides readers through the theory of big data systems, how to use them in practice, and how to deploy and operate them once they're built.

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.

• Rank: #57295 in Books
• Published on: 2013-09-28
• Original language: English
• Number of items: 1
• Binding: Paperback
• 425 pages

Hadoop: The Definitive Guide

Hadoop: The Definitive Guide
Tom White (Author)
(22)

New!: $49.99 $27.89 (as of 04/15/2013 22:32 PST)
70 Used! | New! from $19.99 (as of 04/15/2013 22:32 PST)

Hardware

Ready to unlock the power of your data? With 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.

You’ll find illuminating case studies that demonstrate how Hadoop is used to solve specific problems. This third edition covers recent changes to Hadoop, including material on the new MapReduce API, as well as MapReduce 2 and its more flexible execution model (YARN).

• Store large datasets with the Hadoop Distributed File System (HDFS)
• Run distributed computations with MapReduce
• Use Hadoop’s data and I/O building blocks for compression, data integrity, serialization (including Avro), and persistence
• Discover common pitfalls and advanced features for writing real-world MapReduce programs
• Design, build, and administer a dedicated Hadoop cluster—or run Hadoop in the cloud
• Load data from relational databases into HDFS, using Sqoop
• Perform large-scale data processing with the Pig query language
• Analyze datasets with Hive, Hadoop’s data warehousing system
• Take advantage of HBase for structured and semi-structured data, and ZooKeeper for building distributed systems

• Rank: #2484 in Books
• Published on: 2012-05-26
• Original language: English
• Number of items: 1
• Dimensions: 9.17" h x 1.42" w x 7.01" l, 2.36 pounds
• Binding: Paperback
• 688 pages

Hadoop Real World Solutions Cookbook

Hadoop Real World Solutions Cookbook
Jonathan R. Owens (Author), Brian Femiano (Author), Jon Lentz (Author)

Download: $16.19 (as of 02/17/2013 10:47 PST)

Hardware

In Detail

Helping developers become more comfortable and proficient with solving problems in the Hadoop space. People will become more familiar with a wide variety of Hadoop related tools and best practices for implementation.

Hadoop Real World Solutions Cookbook will teach readers how to build solutions using tools such as Apache Hive, Pig, MapReduce, Mahout, Giraph, HDFS, Accumulo, Redis, and Ganglia.

Hadoop Real World Solutions Cookbook provides in depth explanations and code examples. Each chapter contains a set of recipes that pose, then solve, technical challenges, and can be completed in any order. A recipe breaks a single problem down into discrete steps that are easy to follow. The book covers (un)loading to and from HDFS, graph analytics with Giraph, batch data analysis using Hive, Pig, and MapReduce, machine learning approaches with Mahout, debugging and troubleshooting MapReduce, and columnar storage and retrieval of structured data using Apache Accumulo.

Hadoop Real World Solutions Cookbook will give readers the examples they need to apply Hadoop technology to their own problems.

Approach

Cookbook recipes demonstrate Hadoop in action and then explain the concepts behind the code.

Who this book is for

This book is ideal for developers who wish to have a better understanding of Hadoop application development and associated tools, and developers who understand Hadoop conceptually but want practical examples of real world applications.

• Rank: #36216 in eBooks
• Published on: 2013-02-07
• Released on: 2013-02-07
• Format: Kindle eBook
• Number of items: 1