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