is a declarative framework designed for building reliable, maintainable and testable data processing pipelines. It allows data engineers to define data transformations using a declarative approach and automatically manages the underlying infrastructure and data flow. One of the standout features of Delta Live Tables is its robust monitoring capabilities. It provides a directed acyclic graph (DAG) of your entire data pipeline, visually representing data movement from source to final tables. This visibility is crucial for complex pipelines, helping data engineers and data scientists track data lineage and dependencies. Delta Live Tables is deeply integrated into the Databricks ecosystem, which also brings some challenges to customizing interfaces. We recommend teams carefully evaluate the compatibility of input and output interfaces before using Delta Live Tables.