


Simplify complex data transformations in Snowflake using StreamSets Transformer for Snowflake
Complex data transformations can be tedious and time-consuming, resulting in delayed data delivery. And in today’s competitive environment, there’s no room for slowed down data and analytics projects.
Explore how you can simplify complex data transformations in Snowflake using StreamSets Transformer for Snowflake. We’ll take an in-depth look at:
- How StreamSets enables data engineers, data analysts, and business users to build thier own data transformations in the Snowflake Data Cloud.
- The benefits of simplifying complex data transformations by using a no-code UI to eliminate tedious SQL coding.
- Key techniques and best practices, including leveraging pre-built processors, automating data drift detection and handling, and improving visibility and control across all transformation jobs.
Presenter
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Aaron Franklin
Director of Product Management
StreamSets, Inc
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Presenter
![]() |
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Aaron Franklin
Director of Product Management
StreamSets, Inc
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