Real-Time Analytics: Techniques to Analyze and Visualize Streaming Data

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John Wiley & Sons, Jun 23, 2014 - Computers - 432 pages
Construct a robust end-to-end solution for analyzing and visualizing streaming data

Real-time analytics is the hottest topic in data analytics today. In Real-Time Analytics: Techniques to Analyze and Visualize Streaming Data, expert Byron Ellis teaches data analysts technologies to build an effective real-time analytics platform. This platform can then be used to make sense of the constantly changing data that is beginning to outpace traditional batch-based analysis platforms.

The author is among a very few leading experts in the field. He has a prestigious background in research, development, analytics, real-time 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-time analytics to using specific tools to obtain targeted results, Real-Time Analytics leverages open source and modern commercial tools to construct robust, efficient systems that can provide real-time analysis in a cost-effective 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-Time Analytics includes in-depth 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.



Introduction to Streaming Data
Streaming Analytics Architecture
Service Configuration and Coordination
DataFlow Management in Streaming Analysis
Processing Streaming Data
Storing Streaming Data
Analysis and Visualization
Visualizing Data
Exact Aggregation and Delivery
Statistical Approximation of Streaming Data
Approximating Streaming Data with Sketching
Beyond Aggregation

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About the author (2014)

BYRON ELLIS is CTO of Spongecell, where he heads research and development. Previously the Chief Data Scientist for LivePerson and CTO at AdBrite, Ellis holds a Ph.D. in Statistics from Harvard University, and a B.S. in Cybernetics from UCLA. He presents sessions on real-time analytics at Strata and other major conferences.

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