Part 6/10:
Data Ingestion Layer: Handling diverse sources such as APIs, databases, blockchain events, with pattern-based ingestion pipelines permitting quick onboarding.
Core Processing Layer: Decoupled compute and storage units capable of stream and batch processing with the flexibility to replace or upgrade components without wholesale redesign.
Feature Store and Metadata Layer: Facilitating reusability of features across models, ensuring consistency, and enabling rapid development.
Analytics and Self-Service Portal: Providing business users with tools for reporting, discovery, and on-demand analysis to foster a data-literate culture.
Visualization and Monitoring: Dashboards and alert systems to maintain real-time oversight.