In this era of data-driven business operations, a data fabric architecture has emerged as an essential approach to manage and integrate diverse systems and environments. However, challenges such as data silos, integration complexity, resistance to change, data reliability issues, scalability concerns, and data discovery hurdles impede its effectiveness. Data observability plays a pivotal role in overcoming these challenges by providing real-time insights into data health, performance, and lineage across all six layers of the data fabric. By ensuring data quality, pipeline reliability, and infrastructure optimization, organizations can fully leverage the potential of their data fabric, driving innovation and maintaining a competitive edge in the digital landscape.