Visualizing Streaming Data: Interactive Analysis Beyond Static Limits

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

Table of Contents

Chapter 1. Introduction
Chapter 2. Goals
Chapter 3. Data Sources
Chapter 4. Streaming Your Data
Chapter 5. Processing Streaming Data For Visualization
Chapter 6. Developing A Client
Chapter 7. Presenting Streaming Data
Chapter 8. Visualization Components
Chapter 9. Streaming Analysis
Chapter 10. Workflow Visualization
Chapter 11. Streaming Data Dashboard
Chapter 12. Machine Learning
Chapter 13. Collaboration
Chapter 14. Exports
Chapter 15. Use Cases
Chapter 16. Summary And References