Getting started with Snowpark Connect for Spark¶

To get started with Snowpark Connect for Spark, follow these steps:

1. Set up your environment. Choose a development client for running Spark workloads on Snowflake.

   You can use a local IDE or Snowflake Workspaces.

   For more information, see Environment setup for Snowpark Connect for Spark.

2. Run the tutorial. Walk through a hands-on example to learn the basics.

   For more information, see Tutorial: Get started with Snowpark Connect for Spark.

3. Migrate existing workloads. If you have existing Spark code, use the migration agent to identify compatibility issues and suggest changes.

   For more information, see Migrating to Snowpark Connect for Spark.

4. Run batch workloads. Submit production-ready Spark applications asynchronously using Snowpark Submit.

   For more information, see Orchestrating Snowpark Connect for Spark workloads.