What is Delta Live Tables (DLT) primarily designed for?

Delta Live Tables (DLT) is specifically designed as a declarative framework that streamlines the creation and management of ETL (Extract, Transform, Load) and ML (Machine Learning) pipelines. The primary focus of DLT is to simplify the development process by allowing users to define their processing logic in a declarative way rather than relying on imperative coding. This approach enhances productivity and reduces complexity, making it easier to build robust data pipelines that can efficiently handle large volumes of data.

DLT enables users to define data transformations, manage data flows, and handle dependencies with ease. This capability is essential for data engineering and machine learning workflows, where the ability to quickly iterate and modify pipeline logic is crucial for success. Consequently, DLT stands out as a comprehensive solution designed explicitly for modern data processing needs, facilitating not just data transformations but also integration with machine learning tasks.

In contrast, the other options do not capture the core functionality of Delta Live Tables. DLT is not limited to batch queries, nor is it a relational database management system or solely a visualization tool. Instead, it encompasses a broader scope that is centered on the efficient handling and processing of data pipelines in a seamless manner, combining elements of ETL and ML.