Data Monitoring v Data Observability

Data monitoring and data observability are two techniques used to manage complex data stacks and ensure their reliability and accuracy. While both serve the same goal, they differ in when and how they're used. Data monitoring primarily helps identify potential issues or disturbances in the data stack, while data observability provides tools for gaining insight into what's happening with any data issues and preventing future incidents. Data observability plays a crucial role in the modern data stack by analyzing constantly moving data to provide feedback about daily ad hoc decisions, ensuring that the data reflects business realities.