Creating Your First Project

This guide walks you through creating a new ProAI project from scratch.

Project Scaffolding

ash proai init my-project --template etl

Available templates:

Template	Description
etl	Standard ETL pipeline with batch processing
streaming	Real-time streaming pipeline with Kafka
lank	Empty project with minimal configuration
nalytics	Pre-built analytics pipeline with Snowflake

Project Structure

my-project/ proai.yml # Project configuration pipelines/ # Pipeline YAML definitions sample_pipeline.yml transforms/ # Custom SQL/Python transforms .sql files .py files connectors/ # Custom connector configurations tests/ # Pipeline unit tests data/ # Local data for development sample.csv .proaiignore # Files to exclude from deployment

Connecting to a Data Source

ash proai connector create my-postgres \ --type postgres \ --host localhost \ --port 5432 \ --database mydb \ --schema public

Running Your First Pipeline

ash proai run sample_pipeline

See Also

• Your First ETL — Build a complete ETL pipeline
• Configuration — Project settings