Fundamentals of Data Observability: Implement Trustworthy End-To-End Data Solutions

Data observability is a set of best practices that enables data teams to gain greater visibility of data and its usage. This book helps data engineers, data architects, and machine learning engineers build the right habits to identify and solve data issues, such as data drifts and poor quality, and stop their propagation in data applications, pipelines, and analytics.

Format: Paperback / softback
Length: 266 pages
Publication date: 25 August 2023
Publisher: O'Reilly Media

Data observability is a set of best practices that enables data teams to gain greater visibility of data and its usage. It is crucial for data engineers, data architects, and machine learning engineers who rely on the quality of their data. In this book, author Andy Petrella helps you build the right habits to identify and solve data issues, such as data drifts and poor quality, so you can stop their propagation in data applications, pipelines, and analytics.

You will learn ways to introduce data observability, including setting up a framework for generating and collecting all the information you need. The core principles and benefits of data observability will be discussed, as well as how to use it to detect, troubleshoot, and prevent data issues. You will also follow the book's recipes to implement observability in your data projects and create a trustworthy communication framework with data consumers. Finally, you will learn how to educate your peers about the benefits of data observability.

By implementing data observability, data teams can improve their efficiency, accuracy, and reliability, and ensure that their data is used to drive business decisions. This book is a valuable resource for anyone who wants to improve their data skills and stay ahead of the curve in the rapidly evolving world of data science and analytics.

Weight: 474g
Dimension: 178 x 234 x 17 (mm)
ISBN-13: 9781098133290