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Construct a robust endtoend solution for analyzing and visualizing streaming dataRealtime analytics is the hottest topic in data analytics today. In RealTime Analytics: Techniques to Analyze and Visualize Streaming Data, expert Byron Ellis teaches data analysts technologies to build an effective realtime analytics platform. This platform can then be used to make sense of the constantly changing data that is beginning to outpace traditional batchbased analysis platforms.The author is among a very few leading experts in the field. He has a prestigious background in research, development, analytics, realtime visualization, and Big Data streaming and is uniquely qualified to help you explore this revolutionary field. Moving from a description of the overall analytic architecture of realtime analytics to using specific tools to obtain targeted results, RealTime Analytics leverages open source and modern commercial tools to construct robust, efficient systems that can provide realtime analysis in a costeffective manner. The book includes: A deep discussion of streaming data systems and architectures Instructions for analyzing, storing, and delivering streaming data Tips on aggregating data and working with sets Information on data warehousing options and techniquesRealTime Analytics includes indepth case studies for website analytics, Big Data, visualizing streaming and mobile data, and mining and visualizing operational data flows. The book's 'recipe' layout lets readers quickly learn and implement different techniques. All of the code examples presented in the book, along with their related data sets, are available on the companion website.
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