Which capability of the Databricks Lakehouse Platform supports data streaming?

The capability of the Databricks Lakehouse Platform that supports data streaming is Delta Live Tables for ETL on streaming data. Delta Live Tables is designed to simplify the process of building reliable and maintainable data processing pipelines that can handle both batch and streaming data. It allows users to define data transformation logic that can run continuously in the background, processing incoming data in real-time, making it ideal for scenarios where you need to work with streams of data.

Unlike other options, Delta Live Tables provides the functionality to manage the complexities associated with streaming data, such as handling late arrivals and ensuring data quality and consistency. This makes it a critical tool for data engineers and analysts looking to implement robust data workflows that require continuous data processing and immediate insights.

Other capabilities like Databricks SQL for query execution, structured data storage, and workflows for batch processing primarily focus on different aspects of data management and analysis, without providing the specific streaming capabilities that Delta Live Tables offers.