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May 19, 2013 - In-memory, real-time OLAP with Spark and Shark

posted May 9, 2013, 2:55 PM by 郭晓峰   [ updated May 9, 2013, 3:04 PM ]
Date and Time: 
  2:00PM - 4:30PM, May 19, 2013
 
Location: (换地方了,大家注意)
  Google Bldg MTV-FRC1-1-Clearwater (313 Failchild Dr, Mountain View, CA 94043)

Featured Guest Speakers:
  Jason Dai: Principle Engineer at Intel cn.linkedin.com/in/jasondai/
 
Event Topic: 
  In-memory, real-time OLAP with Spark and Shark
 
Event Description: 
作为Shark的early adopter和major contributor之一,这次Jason将给我们带来Shark的深度之旅,包括Shark的由来(当然有Hive/Impala的比较之类)、现状和以后的方向。这是一个非常好的我们国人lead的haOoop项目,欢迎大家参加。
  
Speaker Brief Bio: 
  作为国内BigData研究的先驱,Intel Principle Engineer, Jason Dai在上海开辟了一个BigData研究的部门。长期以来,Jason致力于Hadoop Stack (Hadoop, Hive, HBase等)的研究。近年来,Jason推动Intel和UC Berkeley的合作,并带领其团队,与AMPLab紧密合作,在基于内存的,分布式计算框架Spark (https://github.com/mesos/spark)和Dremel-like的实时查询系统Shark (https://github.com/amplab/shark/wiki)上共同进行了大量的开发、优化工作。

Event is free, but you need to register online at http://goo.gl/myT1V
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