Murakami Sale
 
 

Recently Viewed clear list


Original Essays | August 21, 2014

Richard Bausch: IMG Why Literature Can Save Us



Our title is, of course, a problem. "Why Literature Can Save Us." And of course the problem is one of definition: what those words mean. What is... Continue »
  1. $18.87 Sale Hardcover add to wish list

    Before, During, After

    Richard Bausch 9780307266262

spacer

Coming Soon!

Preorder
$49.99
New Trade Paper
Available December 2014
Add to Wishlist
Qty Store Section
- Local Warehouse General- General

Big Data: Principles and Best Practices of Scalable Realtime Data Systems

by

Big Data: Principles and Best Practices of Scalable Realtime Data Systems Cover

 

Synopses & Reviews

Publisher Comments:

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.

About the Author

Nathan Marz is an engineer at Twitter. He was previously Lead Engineer at BackType, a marketing intelligence company that was acquired by Twitter in July of 2011. He is the author of two major open source projects: Storm, a distributed realtime computation system, and Cascalog, a tool for processing data on Hadoop. He is a frequent speaker and writes a blog at nathanmarz.com.

James Warren is an analytics architect at Storm8 with a background in big data processing, machine learning and scientific computing.

Product Details

ISBN:
9781617290343
Author:
Marz, Nathan
Publisher:
Manning Publications
Author:
Warren, James
Subject:
Big Data;CAP Theorem;Cassandra;Data science;Distributed systems;HBase;Hadoop;Hypertable;Kafka;Layered architecture;MapReduce;MongoDB;NoSQL;RabbitMQ;S4;Voldemort;Zookeeper;analytics;databases;partition;petabyte;replications;scalability;shard;terabyte,
Subject:
Big Data;CAP Theorem;Cassandra;Data science;Distributed systems;HBase;Hadoop;Hypertable;Kafka;Layered architecture;MapReduce;MongoDB;NoSQL;RabbitMQ;S4;Voldemort;Zookeeper;analytics;databases;partition;petabyte;replications;scalability;shard;terabyte,
Subject:
Big Data;CAP Theorem;Cassandra;Data science;Distributed systems;HBase;Hadoop;Hypertable;Kafka;Layered architecture;MapReduce;MongoDB;NoSQL;RabbitMQ;S4;Voldemort;Zookeeper;analytics;databases;partition;petabyte;replications;scalability;shard;terabyte,
Subject:
Big Data;CAP Theorem;Cassandra;Data science;Distributed systems;HBase;Hadoop;Hypertable;Kafka;Layered architecture;MapReduce;MongoDB;NoSQL;RabbitMQ;S4;Voldemort;Zookeeper;analytics;databases;partition;petabyte;replications;scalability;shard;terabyte,
Subject:
Big Data;CAP Theorem;Cassandra;Data science;Distributed systems;HBase;Hadoop;Hypertable;Kafka;Layered architecture;MapReduce;MongoDB;NoSQL;RabbitMQ;S4;Voldemort;Zookeeper;analytics;databases;partition;petabyte;replications;scalability;shard;terabyte,
Subject:
Big Data;CAP Theorem;Cassandra;Data science;Distributed systems;HBase;Hadoop;Hypertable;Kafka;Layered architecture;MapReduce;MongoDB;NoSQL;RabbitMQ;S4;Voldemort;Zookeeper;analytics;databases;partition;petabyte;replications;scalability;shard;terabyte,
Subject:
Big Data;CAP Theorem;Cassandra;Data science;Distributed systems;HBase;Hadoop;Hypertable;Kafka;Layered architecture;MapReduce;MongoDB;NoSQL;RabbitMQ;S4;Voldemort;Zookeeper;analytics;databases;partition;petabyte;replications;scalability;shard;terabyte,
Edition Description:
Print PDF
Publication Date:
20141231
Binding:
TRADE PAPER
Language:
English
Pages:
425
Dimensions:
9.25 x 7.38 in

Related Subjects

Computers and Internet » Computers Reference » General
Computers and Internet » Internet » Web » Web Programming
Computers and Internet » Software Engineering » Programming and Languages
Health and Self-Help » Self-Help » General

Big Data: Principles and Best Practices of Scalable Realtime Data Systems New Trade Paper
0 stars - 0 reviews
$49.99 Backorder
Product details 425 pages Manning Publications - English 9781617290343 Reviews:
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.