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Real-time analytics at Twitter

"Most analytics systems rely on large offline computations, which means results take hours or days. Twitter is all about realtime, but with over 160 million users producing over 90 million tweets per day, we need realtime analytics that scale horizontally. This talk discusses the development of...

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Bibliographic Details
Main Author: Weil, Kevin
Format: eBook
Language:English
Published: Santa Clara, CA O'Reilly 2011
Subjects:
Business Communication / Fast / (ocolc)fst00842419
Real-time Data Processing / Fast / (ocolc)fst01091219
Customer Relations / Http://id.loc.gov/authorities/subjects/sh85034963
Communication Dans L'entreprise
Business Communication / Http://id.loc.gov/authorities/subjects/sh87004551
Online Social Networks / Fast / (ocolc)fst01741311
Online Social Networks / Http://id.loc.gov/authorities/subjects/sh2006006990
Réseaux Sociaux (internet)
Customer Relations / Fast / (ocolc)fst00885533
Temps Réel (informatique) / Logiciels
Twitter / Http://id.loc.gov/authorities/names/n2009031956
Twitter / Fast / (ocolc)fst01794911
Real-time Data Processing / Software
Online Access:
Collection: O'Reilly - Collection details see MPG.ReNa
Description
Summary:"Most analytics systems rely on large offline computations, which means results take hours or days. Twitter is all about realtime, but with over 160 million users producing over 90 million tweets per day, we need realtime analytics that scale horizontally. This talk discusses the development of that infrastructure, as well as the products we are beginning to build on top of it."--Resource description page
Item Description:Title and publication information from title screen (viewed July 25, 2011). - Recorded at O'Reilly strata making data work conference: Feb. 1-3, 2011, Santa Clara, CA.
Physical Description:1 streaming video file (42 min., 2 sec.)

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