Mar 20, 2017, 2:15:28 AM3/20/17
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Apache Spark is an open source big data processing (solid basic structure on which bigger things can be built) built around speed, ease of use, and fancy (or smart) (information-giving numbers). It was (at first/before other things happened) developed in 2009 in UC Berkeley's AMPLab, and open sourced in 2010 as an Apache project. With Spark, developers can write fancy (or smart) parallel computer programs to execute faster decisions, better decisions, and (happening or viewable immediately, without any delay) actions, applied to a wide variety of use cases, (related to the beautiful design and construction of buildings, etc.)s, and businesses. Spark Class room training course provides an introduction to this amazing technology and you will learn to use Apache spark for big data projects. Spark Class room training course is simple to follow and will lay the foundation for big data and parallel figuring out/calculating. Spark technology is based on in memory (people with no modern technology/very basic things) makes it almost 100 times faster than Hadoop and Mapreduce. Classroom Training in Spark are delivered by experts with 100% practical use.