📊 Foreman Pipeline

📁 Drag and drop your CSV file here, or click to select

🔄 Starting upload...
🔄 Data Processing Pipeline ▼
📁
CSV Upload
Drag & drop your file
Simple file upload interface for CSV files. Supports drag & drop for easy user experience.
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AWS S3
Secure file storage
Highly durable and scalable object storage. Perfect for temporary file storage before processing.
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AWS Glue
Serverless ETL
⚠️ DEMO ONLY: Glue is slower & more expensive than Lambda for simple CSV processing. Production would use Lambda with pandas for faster, cheaper processing. Glue is better for complex transformations.
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Python
Data processing
Python provides excellent data processing capabilities with rich ecosystem. Perfect for CSV manipulation and validation.
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Pandas
Data manipulation
🐼 Pandas excels at CSV processing with powerful data manipulation. Production would use pandas in Lambda for faster processing than Glue.
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DynamoDB
NoSQL database
⚠️ DEMO ONLY: DynamoDB is a simple NoSQL database. Production would use PostgreSQL, Snowflake, or Redshift for scalable analytics.
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📊
Real-time UI
Progress tracking
Real-time progress tracking with live updates. Shows processing status, metrics, and completion status.
AWS Serverless Architecture • Python • Pandas • Real-time Processing
Why is this taking so long? ▼

Right now, you're watching a heavyweight team—Pandas + AWS Glue—analyze your data like it owes them money.

Sure, this file is tiny. And yes, it's finishing in under a minute.

But when your datasets grow teeth—wide, nested, messy, millions-of-rows teeth—this same rigor is what keeps things sane.

So we're not slow. We're just ready for your data's villain arc.