Real-Time Analytics
Techniques to Analyze and Visualize Streaming Data
By Byron Ellis
Publisher: Wiley
Final Release Date: June 2014
Pages: 432


Real-Time Analytics provides a complete end-to-endsolution for cost-effective analysis and visualization of streamingdata. Beginning with a description of the required analyticsecosystem, the book builds upon that foundation with practicalguidance toward the tools and techniques that get targeted results.Outlining best practices for each specific application throughoutthe discovery life cycle, the approach provides easy-to-followinstructions for implementing the presented tools and techniques.Examples taken from real-world applications highlight the usage ofvarious aspects of data processing from tabulation to visualizationand forecasting. Readers will:

  • Understand the components of streaming data systems,including their full capabilities and characteristics
  • Learn the relevant architecture and best practices foranalysis and storage of streaming data
  • Develop a system for data aggregation, delivery, andwarehousing using open source and commercial tools
  • Learn the implementation and application of advancedalgorithms and data structures to streaming applications

Decreasing data acquisition costs and increasing connectivityare enabling ever more efficient methods of continuous collection,so why do analysis platforms remain largely batch-based? The toolsdo exist to efficiently handle streaming data analysis andvisualization feasibly in terms of time, maintenance and hardware.This book guides readers through the construction of a robust,cost-efficient system with clear, expert instruction.

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Ebook: $45.00
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