๐ In this video, you'll learn how to use Databricks Visual Data Prep to clean, transform, and enrich data using a no-code, AI-assisted visual interface for building production-ready data pipelines. Whether you're a data engineer, data analyst, or just getting started with Databricks, this hands-on tutorial will guide you through the complete workflow.
In this tutorial, you'll learn how to:
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Create a Visual Data Prep project
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Import and read data from a Unity Catalog Volume in the Prep Designer
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Explore and profile your data visually
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Join multiple tables using the drag-and-drop interface
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Apply transformations without writing SQL or Python
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Perform aggregations and summarize your data
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Validate and preview transformation results
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Write the transformed output to Unity Catalog
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Build reusable, production-ready data preparation workflows
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Leverage AI-assisted data preparation to accelerate development
Watch on YouTube: Databricks Visual Data Prep with Star Schema Data Modelling Technique
If you're looking to simplify ETL development and build modern data engineering pipelines in Databricks, this video is for you!
