|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|
|Publisher||Association for Computing Machinery (ACM)|
|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|
|Education Level||UG and PG|
|Learning Resource Type||Article|
|Publisher Place||New York|
|Journal||Communications of the ACM (CACM)|
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