Visualizing Streaming Data : Interactive Analysis Beyond Static Limits
Language: English
Published by O'reilly Media Aug 2018, 2018
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
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Add to basketItem description from seller
Neuware - 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 difficultbut 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.- Determine your company's goals for visualizing streaming data- Identify key data sources and learn how to stream them- Learn practical methods for processing streaming data- Build a client application for interacting with events, logs, and records- Explore common components for visualizing streaming data- Consider analysis concepts for developing your visualization- Define the dashboard's layout, flow direction, and component movement- Improve visualization quality and productivity through collaboration- Explore use cases including security, IoT devices, and application data.…
Seller Inventory # 9781492031857
- Title
- Visualizing Streaming Data : Interactive Analysis Beyond Static Limits
- Author
- Anthony Aragues
- Publisher
- O'reilly Media Aug 2018
- Publication year
- 2018
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 1492031852
- ISBN 13
- 9781492031857
- Item weight
- 335 grams
- Dimensions
- 266x151x9 mm
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.
- Determine your company's goals for visualizing streaming data
- Identify key data sources and learn how to stream them
- Learn practical methods for processing streaming data
- Build a client application for interacting with events, logs, and records
- Explore common components for visualizing streaming data
- Consider analysis concepts for developing your visualization
- Define the dashboard's layout, flow direction, and component movement
- Improve visualization quality and productivity through collaboration
- Explore use cases including security, IoT devices, and application data
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