Techniques to Analyze and Visualize Streaming Data
Construct a robust end-to-end solution for analyzing andvisualizing streaming data Real-time analytics is the hottest topic in data analyticstoday. In Real-Time Analytics: Techniques to Analyze andVisualize Streaming Data, expert Byron Ellis teaches dataanalysts technologies to build an effective real-time analyticsplatform. This platform can then be used to make sense of theconstantly changing data that is beginning to outpace traditionalbatch-based analysis platforms. The author is among a very few leading experts in the field. Hehas a prestigious background in research, development, analytics,real-time visualization, and Big Data streaming and is uniquelyqualified to help you explore this revolutionary field. Moving froma description of the overall analytic architecture of real-timeanalytics to using specific tools to obtain targeted results,Real-Time Analytics leverages open source and moderncommercial tools to construct robust, efficient systems that canprovide real-time analysis in a cost-effective manner. The book includes:
• A deep discussion of streaming data systems andarchitectures
• Instructions for analyzing, storing, and delivering streamingdata
• Tips on aggregating data and working with sets
• Information on data warehousing options and techniques
Real-Time Analytics includes in-depth case studies forwebsite 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 differenttechniques. All of the code examples presented in the book, alongwith their related data sets, are available on the companionwebsite.
Advertisements