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Big Data:Principles and best practices of scalable realtime data systems
Nathan Marz
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Description for Big Data:Principles and best practices of scalable realtime data systems
Paperback. .
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 ... Read moreProduct Details
Publisher
Manning Publications United States
Number of pages
425
Format
Paperback
Publication date
2015
Condition
New
Number of Pages
328
Place of Publication
New York, United States
ISBN
9781617290343
SKU
V9781617290343
Shipping Time
Usually ships in 4 to 8 working days
Ref
99-3
About Nathan Marz
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 ... Read more
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