Design a Big Data Processing Pipeline

Functional Requirements

• Support ingestion of large volumes of data from multiple sources (e.g., logs, IoT devices, databases) in both batch and real-time modes.
• Transform, clean, and enrich incoming data as part of the processing pipeline.
• Store both raw and processed data for future analysis.
• Allow querying and analysis of processed data, including support for aggregations and filtering.
• Provide APIs for data ingestion and for accessing processed data/results.
• Monitor data quality and pipeline health.

Non-Functional Requirements

• Scalability: System must handle increasing data volume and support horizontal scaling.
• Reliability: Ensure high availability and resilience to node or component failures.
• Performance: Low-latency processing for real-time data; batch jobs should complete within acceptable timeframes.
• Security: Secure data in transit and at rest; enforce authentication and authorization for API access.
• Maintainability: Components should be modular and easy to update or replace.
• Compliance: Support data retention and privacy requirements as per relevant regulations.