Delta Live Tables (DLT) is a framework on Databricks for building reliable, maintainable, and testable data pipelines. It uses a declarative approach, allowing you to define the desired end state of your data transformations, and DLT manages the orchestration, infrastructure, and monitoring. It automatically handles tasks such as data quality enforcement, schema evolution, and error handling. It's commonly used for ETL processes, data warehousing, and building data products that require consistent and high-quality data.
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