Real-Time Analytics: Techniques to Analyze and Visualize Streaming Data
Real-Time Analytics: Techniques to Analyze and Visualize Streaming Data
Real-Time Analytics: Techniques to Analyze and Visualize Streaming Data by Byron Ellis
Ebook page: 435
File size: 3.58 MB
Construct a robust end-to-end solution for analyzing and visualizing streaming dataReal-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:
Ebook format: PDFThe 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
Ebook page: 435
File size: 3.58 MB
$15.00
