Retail Banking Transaction Processing
Group: Business Requirement
|Product Category: Cloud & Data Engineering
|Sub Category: Python & SQL for Data Engineering
About this Product
Business Overview:
Retail banking systems generate large volumes of structured JSON transaction data. However, raw JSON files are not directly usable for reporting or analytics.
In this Business Requirement, learners analyze multiple banking JSON files, design a fully normalized PostgreSQL database, build an API-based ingestion system using FastAPI, and generate business summaries through a frontend UI.
This project simulates a real-world data engineering requirement — transforming hierarchical JSON into a scalable relational architecture with proper relationships, atomicity, and reporting capabilities.
Product Highlights:
- JSON-to-Relational Database Design (1NF–3NF)
- PostgreSQL schema creation with PK, FK & constraints
- FastAPI-based data ingestion pipeline
- Multi-file batch processing & tracking
- File-wise and overall transaction summaries
- Full-stack integration (Database + API + UI)
Learning Outcomes:
By completing this project, learners will be able to:
- Analyze complex JSON structures
- Design normalized PostgreSQL databases
- Implement relational integrity and atomic data storage
- Build REST APIs using FastAPI
- Load and validate multi-file transactional data
- Generate analytical summaries using SQL
- Develop an end-to-end data engineering workflow
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