Ebook

SNOWPARK: BUILDING BETTER DATA PIPELINES AND MODELS IN THE DATA CLOUD

SNOWPARK: BUILDING BETTER DATA PIPELINES AND MODELS IN THE DATA CLOUD

Pages 14 Pages

Snowpark is Snowflake’s developer framework that lets data engineers and data scientists build pipelines and machine learning workflows using Python, Java, and Scala directly in the Data Cloud. It offers a DataFrame API, UDFs, and stored procedures to streamline data transformations, automate tasks, and embed custom logic securely without moving data. Snowpark simplifies ETL, ML model deployment, and feature engineering with strong governance and scalability. Integrated tools like dbt, Dataiku, and Hex enable collaborative workflows, while feature store support boosts reuse and consistency across ML projects, speeding development and improving data trust.

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