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

Redis in Action

Redis in Action
Josiah L. Carlson (Author)

New!: $44.99 $28.98 (as of 07/19/2013 20:19 PST)
48 Used! | New! from $24.43 (as of 07/19/2013 20:19 PST)

Hardware

Summary

Redis in Action introduces Redis and walks you through examples that demonstrate how to use it effectively. You'll begin by getting Redis set up properly and then exploring the key-value model. Then, you'll dive into real use cases including simple caching, distributed ad targeting, and more. You'll learn how to scale Redis from small jobs to massive datasets. Experienced developers will appreciate chapters on clustering and internal scripting to make Redis easier to use.

About the Technology

When you need near-real-time access to a fast-moving data stream, key-value stores like Redis are the way to go. Redis expands on the key-value pattern by accepting a wide variety of data types, including hashes, strings, lists, and other structures. It provides lightning-fast operations on in-memory datasets, and also makes it easy to persist to disk on the fly. Plus, it's free and open source.

About this book

Redis in Action introduces Redis and the key-value model. You'll quickly dive into real use cases including simple caching, distributed ad targeting, and more. You'll learn how to scale Redis from small jobs to massive datasets and discover how to integrate with traditional RDBMS or other NoSQL stores. Experienced developers will appreciate the in-depth chapters on clustering and internal scripting.

Written for developers familiar with database concepts. No prior exposure to NoSQL database concepts nor to Redis itself is required. Appropriate for systems administrators comfortable with programming.

What's Inside

• Redis from the ground up
• Preprocessing real-time data
• Managing in-memory datasets
• Pub/sub and configuration
• Persisting to disk

About the Author

Dr. Josiah L. Carlson is a seasoned database professional and an active contributor to the Redis community.

Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

Table of Contents

PART 1 GETTING STARTED

1. Getting to know Redis
2. Anatomy of a Redis web application

PART 2 CORE CONCEPTS

3. Commands in Redis
4. Keeping data safe and ensuring performance
5. Using Redis for application support
6. Application components in Redis
7. Search-based applications
8. Building a simple social network

PART 3 NEXT STEPS

9. Reducing memory use
10. Scaling Redis
11. Scripting Redis with Lua

• Rank: #19918 in Books
• Published on: 2013-06-25
• Original language: English
• Number of items: 1
• Dimensions: 9.25" h x 7.36" w x .0" l, .0 pounds
• Binding: Paperback
• 320 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 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

Hadoop Operations

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Hadoop Operations
by Eric Sammer
(4)

New!: $39.99 (as of 01/07/2013 04:18 PST)
58 Used! | New! from $26.00 (as of 01/07/2013 04:18 PST)

Hardware

If you’ve been asked to maintain large and complex Hadoop clusters, this book is a must. Demand for operations-specific material has skyrocketed now that Hadoop is becoming the de facto standard for truly large-scale data processing in the data center. Eric Sammer, Principal Solution Architect at Cloudera, shows you the particulars of running Hadoop in production, from planning, installing, and configuring the system to providing ongoing maintenance.

Rather than run through all possible scenarios, this pragmatic operations guide calls out what works, as demonstrated in critical deployments.

• Get a high-level overview of HDFS and MapReduce: why they exist and how they work
• Plan a Hadoop deployment, from hardware and OS selection to network requirements
• Learn setup and configuration details with a list of critical properties
• Manage resources by sharing a cluster across multiple groups
• Get a runbook of the most common cluster maintenance tasks
• Monitor Hadoop clusters—and learn troubleshooting with the help of real-world war stories
• Use basic tools and techniques to handle backup and catastrophic failure

• Rank: #65499 in Books
• Published on: 2012-10-16
• Original language: English
• Number of items: 1
• Dimensions: 9.17" h x .67" w x 7.01" l, 1.03 pounds
• Binding: Paperback
• 298 pages