Скачать или смотреть Your Data Lake Is a Compliance Time Bomb | Systems Thinking for Architects

Most data lakes do not fail because of storage.

They fail because of accountability.

In many cloud data lake architectures, ownership is undefined, retention decisions are undocumented, and policy drift cannot be proven under audit. What looks like a scalable analytics platform quietly accumulates governance and compliance risk.

And when it surfaces, it is not a platform issue.
It is board-level exposure.

In this episode of Systems Thinking for Architects, we examine data lake governance, compliance architecture, and why storage without decision metadata is legally unstable in regulated environments.

We explore:
Why data lake compliance failures are architectural, not technical
The difference between operational ownership and accountable ownership
Why data retention must be an explicit versioned decision
How policy versioning prevents governance drift
Why cross-domain data leakage creates regulatory exposure
How to design data lake architecture that can prove its decisions under audit
The role of decision-aware architecture in regulated cloud systems

This is not a tutorial about tools.
It is an architectural analysis of liability design in modern cloud data platforms.

If you work with data lakes, cloud data architecture, GDPR compliance, or regulated industry systems, this episode will challenge how you think about governance and accountability.

Architecture is not infrastructure.
It is the design of decisions.