Skip to content

Big Data Principles and Best Practices of Scalable Realtime Data Systems

Best in textbook rentals since 2012!

ISBN-10: 1617290343

ISBN-13: 9781617290343

Edition: 2015

Authors: Nathan Nathan Marz, James James Warren

List price: $49.99
Blue ribbon 30 day, 100% satisfaction guarantee!
what's this?
Rush Rewards U
Members Receive:
Carrot Coin icon
XP icon
You have reached 400 XP and carrot coins. That is the daily max!

Description:

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…    
Customers also bought

Book details

List price: $49.99
Copyright year: 2015
Publisher: Manning Publications Co. LLC
Publication date: 5/10/2015
Binding: Paperback
Pages: 328
Size: 7.38" wide x 9.25" long x 0.60" tall
Weight: 1.474
Language: English

Nathan Marz is currently working on a new startup. Previously, he was the lead engineer at BackType before being acquired by Twitter in 2011. At Twitter, he started the streaming compute team which provides and develops shared infrastructure to support many critical realtime applications throughout the company. Nathan is the creator of Cascalog and Storm, open-source projects which are relied upon by over 50 companies around the world, including Yahoo!, Twitter, Groupon, The Weather Channel, Taobao, and many more companies.

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