Quickly detect, troubleshoot, and prevent the propagation of a wide range of data incidents through Data Observability, a set of best practices that allow data teams to gain greater visibility of data and its usage.

If you’re a data engineer, ML engineer, or data architect, or if the quality of your work depends on the quality of your data, this book shows how to focus on the practical aspects of introducing Data Observability in your day-to-day work.

"Author Andy Petrella, Kensu's Founder, helps you build the right habits to detect and solve data issues, so you can stop their propagation in data applications, pipelines, and analytics. You’ll learn how to introduce data observability, including setting up a framework for generating and collecting all the information you need."

• Discover the core principles and benefits of Data Observability
• Use observability to identify, troubleshoot, and prevent data issues
• Learn how to implement observability in your data projects
• Create a trustable communication framework with data consumers
• Educate your peers about the benefits of Data Observability