Part 5/11:
Data Injection: Collecting structured and unstructured data from diverse sources like APIs (UDAM, PAN, Aadhaar), OCR, bank statements, and more.
Data Storage: Using SQL databases, data warehouses, or data lakes to store transaction, demographic, and unstructured data efficiently.
Data Pipelines: Building ETL (Extract, Transform, Load) or ELT layers to link and process the disparate data types for real-time or batch utilization.
Governance & Security: Ensuring compliance with data privacy laws like the Data Protection Bill (DPRDA), employing encryption, hashing, and access controls to prevent data breaches and misuse.