This workshop lead by Dean Wampler, Ph.D. is designed to teach developers how to implement data analytics using Apache Spark for Reactive applications. Apache Spark is a distributed computing system written in Scala and developed initially as a UC Berkeley research project for distributed data programming. It has grown in capabilities and it recently became a top-level Apache project. In this workshop, developers will use hands-on exercises to learn the principles of Spark programming and idioms for specific problems, such as event stream processing, SQL-based analysis on structured data in files, integration with Reactive frameworks like Akka, as well as Hadoop and related tools, and advanced analytics, such as machine learning and graph algorithms
About the instructor
Dean Wampler, is a software developer, new data scientist, technical author, and frequent public speaker living in Chicago. Dean is the author of Functional Programming for Java Developers, the co-author (with Alex Payne) of Programming Scala, and the co-author (with Edward Capriolo and Jason Rutherglen) of Programming Hive, all published by O'Reilly Media. Dean is a frequent speaker at conferences and user groups. Many of his presentations can be found at his Polyglot Programming site. Dean also helps organize several conferences as well as started the Chicago-Area Scala Enthusiasts user group.
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