Ebook
The data lake is drowning
Why centralized data is becoming a liability
The centralized data lake solved a 1990s problem by copying data out. In an AI-native world, that copy carries latency, drift, governance debt, and a concentration risk nobody budgeted for. This ebook examines the structural obsolescence of the lake, the compounding security exposure it creates, and the architecture that replaces it.
What's inside
- Why the data lake was a workaround, not a solution, and why its founding rationale is eroding
- The three hidden costs every lake carries: latency, drift, and governance debt
- How AI turns a centralized, queryable repository from an inconvenience into a security exposure
- What a semantically governed, distributed alternative looks like in practice
Who it's for: CTOs, CISOs, chief data officers, and enterprise architects.
Most enterprise data lakes deliver less analytical value than their cost justification projected. The lake produces data, not intelligence.Gartner