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.
This book is an informative, concise 101 for those new to working in a technically oriented role. I particularly appreciated the tables that provided definitions, examples, and characterizations throughout the book. I did not read this book to learn more about data visualization but rather data management in general and I found the framing (I.e. visualization) kept me engaged as a side benefit.