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Transformations let you process and move data within CDF using SQL queries. You define a transformation with a SQL query that reads from CDF resources and writes results to a destination.

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SQL-based processing

Transformations use a SQL dialect that can query CDF resources as tables. You select from assets, time series, events, Raw tables, and other sources. Write results to Raw tables, time series, or other destinations. The query defines the transformation logic.

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Execution

Transformations can be run on demand or on a schedule. Each execution creates a transformation job that tracks status, row counts, and errors. Use schedules for recurring loads and jobs for ad-hoc runs.
Transformations support reading from and writing to most CDF resource types. Check the transformation documentation for supported sources and destinations.

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Key capabilities

  • Define SQL queries for data processing
  • Read from CDF resources as tables
  • Write to destinations in CDF
  • Run on demand or schedule

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Rate and concurrency limits

For Transformations rate and concurrency limits, see API rate limits.
Last modified on April 23, 2026