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Data Pipeline: Load data from a source, transform it, and visualize insights
ML Workflow: Build a machine learning model with data preprocessing, training, and evaluation
ETL Process: Extract data from a connection, transform it, and load it somewhere
Analysis Dashboard: Combine queries and visualizations to explore a dataset
API Endpoint: Create a serverless API with business logic
Scheduled Job: Set up automated data processing on a schedule