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Best Practices: Getting Started with Migration from Apache Spark to Snowflake

Data professionals often rely on a variety of tools and programming languages to get their work done. This can lead to overcomplicated architectures, increased maintenance and operating costs, and new data silos that expose data to security risks.

That’s why we built Snowpark, Snowflake’s developer framework that opens data programmability to all users, regardless of what languages they use to code. Snowpark enables users to write code in their familiar constructs and run directly inside Snowflake, leveraging Snowflake’s engine, with no other processing system needed.

Many customers are actively migrating from their previous Spark systems to Snowpark. Watch our webinar where we will be sharing our best practices for creating a seamless transition from Spark/Hive workload to Snowpark.

During this webinar and Q&A session, you’ll have the opportunity to learn about:

  • Top reasons for migrating from Spark to Snowflake
  • Ideal use cases to target
  • How to accelerate migration with automation tools
  • Real-life examples from migration customers