Build Python Transform Components
Python Transform Components provide the flexibility and power of Python for complex data transformations, custom business logic, and advanced analytics. They're perfect when you need procedural programming, external libraries, or complex operations that go beyond SQL capabilities.
Before you begin
- Ensure you have an Ascend Project and Workspace
- Have Read Components or other data sources ready as inputs
Python Transform guides
🔄 Simple Python Transforms
Full refresh transformations using Python and pandas. Perfect for complex logic, data cleaning, and custom transformations.
📈 Incremental Python Transforms
Process only new or changed data with Python. Ideal for growing datasets with custom business logic and external API calls.
🧠 Smart Python Transforms
Process data in chunks with intelligent partition detection. Perfect for large datasets requiring complex Python operations.
Next steps
After building your Python Transform Components:
- 📤 Write transformed data to destinations
- 🧪 Add data tests to validate transformation logic
- 📋 Create Task Components for additional Python operations
- 🔄 Set up Automations to orchestrate your pipeline