Showing posts with label hadoop - 2012. Show all posts
Showing posts with label hadoop - 2012. Show all posts

Sunday, September 29, 2013

ZooKeeper: Distributed process coordination

ZooKeeper
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

Saturday, May 11, 2013

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

Big Data
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

Monday, January 7, 2013

Hadoop Operations

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Hadoop Operations
Hadoop Operations
by Eric Sammer
4.8 out of 5 stars(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