Real-Time Analytics Techniques to Analyze and Visualize Streaming Data
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Description: This book provides concrete recipes for constructing an analytics platform and deploying specific analytics applications that can effectively handle streaming data in real time.The author begins by describing an overall analytic architecture or ecosystem for real-time analytics; he then describes how specific tools can be used within that ecosystem to get the targeted results. Techniques and best practices for using each of these tools is presented for specific applications, and covers the full discovery lifecycle, including data mining, analysis, and visualization.Along with the "nuts and bolts" of the various techniques, the author provides a "recipe" -oriented approach throughout the book, showing how to implement these techniques. And in the second part of the book, he presents in-depth case studies that address particular scenarios often found in streaming data analysis.Topics include:Components of streaming data systemsStreaming data architectureAnalyzing streaming data with StormStoring streaming dataSampling, counting, and working with setsAggregating dataDelivering data for analysisData warehousingIntegrating real-time data and text searchCase studies will span a wide variety of applications, including website analytics; analysis of Big Data, Visualizing streaming and mobile data, and mining and visualizing operational data flows.All of the code examples and related data sets will be provided on the book's companion website and on GitHub.
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All the information you need in one place! Each Study Brief is a summary of one specific subject; facts, figures, and explanations to help you learn faster.
List price: $36.99
Copyright year: 2014
Publisher: John Wiley & Sons, Limited
Publication date: 8/19/2014
Size: 7.30" wide x 9.10" long x 0.80" tall