December 17 Talk with ACM Doctoral Dissertation Award Winner Matei Zaharia, "Making Big Data Processing Simple with Spark"
________________________________ Register TODAY for the next free ACM Learning Webinar, "Making Big Data Processing Simple with Spark," presented on Thursday, December 17 at 12 pm ET (11 am CT/10 am MT/9 am PT/5 pm GMT) by Matei Zaharia, Assistant Professor of Computer Science at MIT, cofounder and CTO of Databricks, and winner of the 2014 ACM Doctoral Dissertation Award. His fellow Databricks cofounder Reynold Xin, formerly of UC Berkeley's AMPLab, moderates the question and answer session. (If you'd like to attend but can't make it to the virtual event, you still need to register to receive a recording of the webinar when it becomes available.) Note: You can stream this and all ACM Learning Webinars on your mobile device, including smartphones and tablets. As data volumes grow, we need programming tools for parallel applications that are as easy to use and versatile as those for single machines. The Spark project started at UC Berkeley to meet these goals. Spark is based on two main ideas. First, it has a language-integrated API in Python, Java, Scala and R, based on functional programming, that makes it easy to build applications out of functions to run on a cluster. Second, it offers a general engine that can support streaming, batch, and interactive computations, as well as advanced analytics such as machine learning, and lets users combine them in one program. Since its release in 2010, Spark has become a highly active open source project, with over 900 contributors and a broad set of built-in libraries. This talk will cover the main ideas behind the Spark programming model, and recent additions to the project. Duration: 60 minutes (including audience Q&A) Presenter: Matei Zaharia, MIT CSAIL; Cofounder and CTO, Databricks; 2014 ACM Doctoral Dissertation Award Matei Zaharia is an assistant professor of computer science at MIT and CTO of Databricks, the company commercializing Apache Spark. He started the Spark project during his Ph.D. work at UC Berkeley. He is broadly interested in large-scale computer systems and networks, and has also contributed to projects including Mesos, Hadoop, Tachyon and Shark. Matei received the ACM Best Doctoral Dissertation Award in 2014 for his research, as well as best paper awards at NSDI and SITCOM. Skip Cave Cave Consulting LLC ---------------------------------------------------------------------- For information about J forums see http://www.jsoftware.com/forums.htm
