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ETL Pipeline Examples
Database Transfer
Description:
Copy data from MySQL to PostgreSQL
# AI Prompt:
"Extract data from MySQL users table and load to PostgreSQL daily at 2 AM"
File Processing
Description:
Process CSV files and load to BigQuery
# AI Prompt:
"Process CSV files from S3, clean the data, and load to BigQuery"
API Data Sync
Description:
Sync data from external API to database
# AI Prompt:
"Fetch data from REST API every hour and store in PostgreSQL"
Machine Learning Examples
Model Training
Description:
Train ML model and validate performance
# AI Prompt:
"Train ML model on customer data, validate performance, and save results"
Feature Engineering
Description:
Process features for ML pipeline
# AI Prompt:
"Process raw data, create features, and store in feature store"
Data Quality Examples
Data Validation
Description:
Validate data quality and send alerts
# AI Prompt:
"Run data quality checks on customer data and send Slack alerts for failures"
Anomaly Detection
Description:
Detect anomalies in data
# AI Prompt:
"Monitor sales data for anomalies and send alerts"
Business Intelligence Examples
Report Generation
Description:
Generate and email reports
# AI Prompt:
"Generate daily sales report and email to stakeholders"
Dashboard Updates
Description:
Update dashboards with fresh data
# AI Prompt:
"Update dashboard metrics every hour with latest data"
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