**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.
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.
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. This book provides concrete recipes for constructing an analytics platform and deploying specific analytics applications that can effectively handle streaming data in real time.The authors begin by describing an overall analytic architecture or ecosystem for real-time analytics; they then describe how specific tools can be used within that ecosystem to get the targeted results. Techniques and best practices for using each of these tools is presented for specific applications, and covers the full discovery lifecycle, including data mining, analysis, and visualization.Along with the nuts and bolts of the various techniques, the authors provide a recipe -oriented approach throughout the book, showing how to implement these techniques. And in the second part of the book, they present in-depth case studies that address particular scenarios often found in streaming data analysis.Topics include:Components of streaming data systemsStreaming data architectureAnalyzing streaming data with StormStoring streaming dataSampling, counting, and working with setsAggregating dataDelivering data for analysisData warehousingIntegrating real-time data and text searchCase studies will span a wide variety of applications, including website analytics; analysis of Big Data, Visualizing streaming and mobile data, and mining and visualizing operational data flows.All of the code examples and related data sets will be provided on the book's companion website and on GitHub. 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 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 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. This book teaches data analysts technologies to build an effective real-time analytics platform that can be used to make sense of the constantly changing data that is beginning to outpace traditional batch-based analysis platforms. Moving from a description of the overall analytic architecture of real-time analytics to using specific tools to obtain targeted results, this resource 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 discussion of streaming data systems and architectures; instructions for analyzing, storing, and delivering streaming data; tips on aggregating data and working with sets; and information on data warehousing options and techniques. It includes in-depth case studies for website analytics, big data, visualizing streaming and mobile data, and mining and visualizing operational data flows. -- Edited summary from book Style - Font Definitions -face font-family: Wingdings; panose-1:5 0 0 0 0 0 0 0 0 0; mso-font-charset:2; mso-generic-font-family:auto; mso-font-pitch:variable; mso-font-signature:0 268435456 0 0 -2147483648 0 Style Definitions p. MsoNormal, li. MsoNormal, div. MsoNormal mso-style-parent:'; margin:0in; margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:12.0pt; font-family:'Times New Roman'; mso-fareast-font-family:'Times New Roman' page ... Data expert Byron Ellis teaches data analysts new technologies to build an effective real-time analytics platform. The book leverages open source and modern commercial tools to show readers how to construct robust, efficient systems that provide real-time analysis in a cost effective manner
