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White Paper

Snowflake Data Science Workloads with Snowpark Python and

Data Products  for Dummies - NEW (1)-1

Unlock the power of Snowpark Python and in Snowflake Data Science Workloads:

  • Efficient Programming: Snowpark enables streamlined coding in popular languages like Python, Java, and Scala within Snowflake.
  • Automation: automates code development, testing, deployment, and management for Snowpark, simplifying implementation.
  • Data Transformation: Snowpark leverages DataFrames and UDFs, making Snowflake fully programmable.
  • Language Flexibility: Support for Python, Java, and Scala allows users to work in their preferred language.
  • Orchestration: orchestrates Snowpark applications within data pipelines, enhancing efficiency.
  • Development Support: Full-cycle management, versioning, and Git compatibility ensure optimized Snowpark code development.
  • Future-Ready: supports Snowflake's evolution into a programmable data cloud, ensuring complete lifecycle management.
Experience enhanced data workflows and efficiency with Snowpark Python and in Snowflake.