Data environments have become increasingly complex in recent years, increasing the occurrence of data issues — e.g., missing data or schema changes. This evolution forces data teams to waste up to 40% of their time deploying band-aid solutions, stopping them from scaling up data usage and producing new value. And despite these efforts, data incidents keep happening and lower not only the morale and reputation of the data teams but also impact business decisions, customer experience, and ultimately companies’ profitability.
Fundamentals of Data Observability is the first O’Reilly book about data observability. It helps data teams understand what data observability is and how it can help them better understand their data usage, troubleshoot data incidents, and prevent them from propagating. The use cases detailed by the author, Andy Petrella, can immediately be put into practice so data teams can start observing their data and dramatically increase its reliability.
“Data teams are facing more and more data issues and waste time and energy firefighting them to limit their impact on the products that they deliver,” said the author and founder of Kensu, Andy Petrella. “We wanted to put concrete examples of solutions in their hands so they can start implementing data observability today in their existing data stacks.”
"This is a practical, informative, no-nonsense guide to the fundamentals of data observability." - Joe Reis, CEO of Ternary Data.
In this O’Reilly book, readers will learn (how):
1. The core principles and benefits of Data Observability
2. To identify, troubleshoot, and prevent data issues
3. To implement observability in data projects
4. To create a trustable communication framework with data consumers
5. To educate peers about the benefits of Data Observability
The chapters of Fundamentals of Data Observability will be progressively released and downloadable for free on Kensu.io. Access to the first three chapters is now available on https://www.kensu.io/oreilly-chapter3.
