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

About the Author

Anthony Aragues is currently the Vice President of Product Management at Anomali. Anthony brings a wide range of technical and business experience to guide security products. He started his career in technology and security in the military in 1997. He has been focused on Threat Intelligence since 2008 with the start of McAfee's Global Threat Intelligence program where he was an inventor of multiple threat intelligence patents. He was most recently leading engineering and product management at Norse across all products. Anthony has a Computer Information Systems degree from Strayer University. Anthony is a life long technology enthusiast who learns, programs, and tinkers every chance he gets.

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