Data Lake
A Data Lake is a centralized repository that stores large volumes of raw, heterogeneous data in native formats to support analytics, machine learning workflows, and operational integration. It relies on schema-on-read, flexible ingestion pipelines, and separates storage from compute. Proper governance, metadata cataloging, and lifecycle policies are essential to maintain data quality, discoverability, and controlled usage.
This block bundles baseline information, context, and relations as a neutral reference in the model.
Definition · Framing · Trade-offs · Examples
What is this view?
This page provides a neutral starting point with core facts, structure context, and immediate relations—independent of learning or decision paths.
Baseline data
Context in the model
Structural placement
Where this block lives in the structure.
No structure path available.
Relations
Connected blocks
Directly linked content elements.