Apache Spark is a powerful open source processing engine built around speed, ease of use, and sophisticated analytics. It was started at UC Berkeley in 2009 and is now developed at the vendor-independent Apache Software Foundation. Since its release, Spark has seen rapid adoption by enterprises across a wide range of industries. Internet powerhouses such as Yahoo, eBay and Netflix have deployed Spark at massive scale, processing multiple petabytes of data on clusters of over 8,000 nodes. Apache Spark has also become the largest open source community in big data, with over 1000 contributors from 250+ organizations.
Michael Malak is the lead author of Spark GraphX In Action and has been developing Spark solutions at two Fortune 200 companies since early 2013. He has been programming computers since before they could be bought pre-assembled in stores.
Nikita Shamgunov co-founded MemSQL and has served as CTO since inception. Prior to co-founding the company, Nikita worked on core infrastructure systems at Facebook. He served as a senior database engineer at Microsoft SQL Server for more than half a decade. Nikita holds a bachelor’s, master’s and doctorate in computer science, has been awarded several patents and was a world medalist in ACM programming contests.
Ryan writes tools for analyzing genomic data using Spark at Hammer Lab.
Songtao Guo is a Principal Data Scientist and tech lead of Data Mining team at Linkedin where he leads many of data driven products and analytics systems. His work involves building large-scale knowledge base, inventing data mining platforms to scale business analytics and partnering with product, sales, and marketing to deliver impactful solutions. Before joining LinkedIn, Songtao was a senior researcher at AT&T interactive, focusing on improving data quality and search relevancy for local business search. He holds a PhD in computer science from University of North Carolina at Charlotte.
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