banking-architecture

To validate banking architecture against BIAN standards, you need a specialized framework that checks your project's service domains and event-driven patterns. This Skill automatically detects banking projects and audits your proposed architecture for compliance with BIAN and EDA principles, ensuring your design meets regulatory requirements before implementation.

Event-driven architecture (EDA) in banking uses asynchronous event streams to decouple systems and enable real-time data processing. It is needed when designing scalable payment processing or transaction systems, requiring tools like Kafka to ensure compliance, data lineage, and proper event choreography across banking service domains.

Yes, Kafka and Snowflake are typical components of a compliant banking technology stack. This Skill supports teams in adopting these platforms by validating their integration within your architecture, ensuring event-driven patterns via Kafka and data governance via Snowflake align with banking regulatory and BIAN standards.

To audit data governance and lineage for banking projects, you must review data classification, tracking, and regulatory adherence across your systems. This Skill audits your data governance practices, verifying that lineage and classification meet banking compliance requirements and align with your overall architecture validation.

MLOps can be integrated within banking environments to support BIAN service domains by ensuring machine learning models follow governance and compliance protocols. This Skill helps teams adopt MLOps within their banking technology stack, validating that operational workflows meet regulatory and architectural standards.