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Author Franklin, Michael J. ♦ Zaharia, Matei ♦ Meng, Xiangrui ♦ Xin, Reynold S. ♦ Ghodsi, Ali ♦ Wendell, Patrick ♦ Stoica, Ion ♦ Venkataraman, Shivaram ♦ Das, Tathagata ♦ Dave, Ankur ♦ Shenker, Scott ♦ Gonzalez, Joseph ♦ Rosen, Josh ♦ Armbrust, Michael
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Language English
Abstract This open source computing framework unifies streaming, batch, and interactive big data workloads to unlock new applications.
Description Affiliation: University of Chicago and University of California, Berkeley (Franklin, Michael J.) || Databricks, San Francisco, CA (Xin, Reynold S.; Wendell, Patrick; Das, Tathagata; Armbrust, Michael; Meng, Xiangrui; Rosen, Josh) || University of California, Berkeley (Dave, Ankur; Venkataraman, Shivaram; Ghodsi, Ali; Gonzalez, Joseph; Shenker, Scott; Stoica, Ion) || Stanford University, Stanford, CA and Databricks, San Francisco, CA (Zaharia, Matei)
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2005-08-01
Publisher Place New York
Journal Communications of the ACM (CACM)
Volume Number 59
Issue Number 11
Page Count 10
Starting Page 56
Ending Page 65

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Source: ACM Digital Library