Anthony D. Joseph

 

 


 

Professor in Electrical Engineering and Computer Science, Technical Advisor at Databricks

Anthony D. Joseph is a Professor in Electrical Engineering and Computer Science at UC Berkeley. He received his B.S., S.M., and Ph.D. Degrees in Computer Science from MIT. He joined the UC Berkeley faculty in 1998, where he is developing adaptive techniques for: cloud computing, network and computer security, and security defenses for machine learning-based decision systems. He also co-leads the DETERlab testbed, a secure scalable testbed for conducting cybersecurity research, and he is a Technical Advisor at Databricks.

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Aug 15th 2016

Learn how to apply data science techniques using parallel programming in Apache Spark to explore big data.

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Jun 15th 2016

Learn the fundamentals and architecture of Apache Spark, the leading cluster-computing framework among professionals. Spark is rapidly becoming the compute engine of choice for big data. Spark programs are more concise and often run 10-100 times faster than Hadoop MapReduce jobs. As companies realize this, Spark developers are becoming increasingly valued.

Average: 6.8 (8 votes)
Jun 1st 2015

Learn how to apply data science techniques using parallel programming in Apache Spark to explore big (and small) data.

Average: 9 (1 vote)