explai data bricks,how its different from adf

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Accepted Answer

Data bricks is a unified analytics platform for big data and machine learning, while ADF (Azure Data Factory) is a cloud-based data integration service.

Data bricks is a unified analytics platform that provides a collaborative environment for big data and machine learning projects.
ADF is a cloud-based data integration service that allows you to create, schedule, and manage data pipelines.
Data bricks supports multiple programming languages like Python, Scala, and SQL, while ADF uses a visual interface for building data pipelines.
Data bricks is optimized for big data processing and analytics, while ADF is focused on data integration and orchestration.
Data bricks can be used for data exploration, visualization, and machine learning model training, while ADF is more suitable for data movement and transformation tasks.

explai data bricks,how its different from adf

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