Visualizing streaming data : interactive analysis beyond static limits / Anthony AraguesPublisher: Sebastopol, CA : O'Reilly, ©2018Edition: First edition.Description: 184 pages : color illustrations ; 23 cm.Content type: text | still image Media type: unmediated Carrier type: volumeISBN: 9781492031857.Subject(s): Streaming technology (Telecommunications) | Data transmission systems | Big dataGenre/Form: Print books.
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|On Shelf||TK5105.386 .A73 2018 (Browse shelf)||Available||AU00000000013882|
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|TK5105 .Z54 2014 Principles of communication : systems, modulation, and noise /||TK5105.15 .R363 2014 Wireless multimedia communication systems : design, analysis, and implementation /||TK5105.386 .A55 2018 Streaming systems : the what, where, when, and how of large-scale data processing /||TK5105.386 .A73 2018 Visualizing streaming data : interactive analysis beyond static limits /||TK5105.5 .C643 2018 System architecture : an ordinary engineering discipline /||TK5105.5 .I58 2018 Introduction to computer networking /||TK5105.5 .S73 2016 Foundations of modern networking : SDN, NFV, QoE, IoT, and Cloud /|
Introduction -- Goals -- Data sources -- Streaming your data -- Processing streaming data for visualization -- Developing a client -- Presenting streaming data -- Visualization components -- Streaming analysis -- Workflow visualization -- Streaming data dashboard -- Machine learning -- Collaboration -- Exports -- Use cases -- Summary and references
While tools for analyzing streaming and real-time data are gaining adoption, the ability to visualize these data types has yet to catch up. Dashboards are good at conveying daily or weekly data trends at a glance, though capturing snapshots when data is transforming from moment to moment is more difficult--but not impossible. With this practical guide, application designers, data scientists, and system administrators will explore ways to create visualizations that bring context and a sense of time to streaming text data. Author Anthony Aragues guides you through the concepts and tools you need to build visualizations for analyzing data as it arrives