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RealTime Analytics: Techniques to Analyze and Visualize Streaming Data,New
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Construct a robust endtoend solution for analyzing and visualizing streaming dataRealtime analytics is the hottest topic in data analytics today. In RealTime Analytics: Techniques to Analyze and Visualize Streaming Data, expert Byron Ellis teaches data analysts technologies to build an effective realtime analytics platform. This platform can then be used to make sense of the constantly changing data that is beginning to outpace traditional batchbased analysis platforms.The author is among a very few leading experts in the field. He has a prestigious background in research, development, analytics, realtime 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 realtime analytics to using specific tools to obtain targeted results, RealTime Analytics leverages open source and modern commercial tools to construct robust, efficient systems that can provide realtime analysis in a costeffective 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 techniquesRealTime Analytics includes indepth 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.
⚠️ WARNING (California Proposition 65):
This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.
For more information, please visit www.P65Warnings.ca.gov.
- Q: What is the main focus of 'Real-Time Analytics' by Byron Ellis? A: The book focuses on constructing an end-to-end solution for analyzing and visualizing streaming data using real-time analytics techniques.
- Q: Who is the author of this book and what are his qualifications? A: The author is Byron Ellis, a leading expert in data analytics, with a prestigious background in research, development, analytics, real-time visualization, and Big Data streaming.
- Q: What topics are covered in 'Real-Time Analytics'? A: The book covers streaming data systems, analytic architecture, specific tools for real-time analysis, data aggregation, warehousing options, and includes case studies for various applications.
- Q: How many pages does the book contain? A: The book contains 432 pages.
- Q: What is the publication date of 'Real-Time Analytics'? A: The book was published on July 21, 2014.
- Q: Is this book suitable for beginners in data analytics? A: Yes, the book's 'recipe' layout allows readers, including beginners, to quickly learn and implement different techniques in real-time analytics.
- Q: Are there practical examples and case studies included in the book? A: Yes, the book includes in-depth case studies and practical code examples, which are also available on a companion website.
- Q: What binding type is used for this book? A: The book is available in paperback binding.
- Q: What condition is the book in? A: The book is listed as being in good condition.
- Q: Can this book help with Big Data visualization? A: Yes, 'Real-Time Analytics' includes techniques for visualizing streaming data and mobile data, making it useful for Big Data analytics.