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

A COMPLETE SOLUTION FOR DYNAMIC ANALYSIS OF STREAMING DATA Real–Time Analytics provides a complete end–to–end solution for cost–effective analysis and visualization of streaming data. Beginning with a description of the required analytics ecosystem, the book builds upon that foundation with practical guidance toward the tools and techniques that get targeted results. Outlining best practices for each specific application throughout the discovery life cycle, the approach provides easy–to–follow instructions for implementing the presented tools and techniques. Examples taken from real–world applications highlight the usage of various aspects of data processing from tabulation to visualization and forecasting. Readers will: Understand the components of streaming data systems, including their full capabilities and characteristics Learn the relevant architecture and best practices for analysis and storage of streaming data Develop a system for data aggregation, delivery, and warehousing using open source and commercial tools Learn the implementation and application of advanced algorithms and data structures to streaming applications Decreasing data acquisition costs and increasing connectivity are enabling ever more efficient methods of continuous collection, so why do analysis platforms remain largely batch–based? The tools do exist to efficiently handle streaming data analysis and visualization 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.

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.