Part 2: Implementing Data Observability

This section covers advanced topics in data observability. It delves into techniques for data engineers to gather runtime information from applications, comparing their pros and cons for effective observability implementation. Then it will discuss essential elements for collecting contextual, real-time data from pipelines. The end of the section introduces continuous data validation, explaining how data engineers can implement and integrate monitoring rules manually or in code.

This part has the following chapters:

• Chapter 3, Data Observability Techniques
• Chapter 4, Data Observability Elements
• Chapter 5, Defining Rules on Indicators