Real-Time Analytics: Techniques to Analyze and Visualize Streaming Data By Byron Ellis
2014 | 432 Pages | ISBN: 1118837916 | EPUB + MOBI | 3 MB + 6 MB
Construct a robust end杢o杄nd solution for analyzing and visualizing streaming data Real杢ime analytics is the hottest topic in data analytics today. In Real朤ime Analytics: Techniques to Analyze and Visualize Streaming Data , expert Byron Ellis teaches data analysts technologies to build an effective real杢ime analytics platform. This platform can then be used to make sense of the constantly changing data that is beginning to outpace traditional batch朾ased analysis platforms. The author is among a very few leading experts in the field. He has a prestigious background in research, development, analytics, real杢ime 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 real杢ime analytics to using specific tools to obtain targeted results, Real朤ime Analytics leverages open source and modern commercial tools to construct robust, efficient systems that can provide real杢ime analysis in a cost杄ffective 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 techniques Real朤ime Analytics includes in杁epth 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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