Data Ingestion
Data ingestion describes the process of collecting, transporting and loading data from diverse sources into target systems. It encompasses batch and streaming approaches, schema handling, transformations and validation. Latency, throughput, consistency and cost drive architectural and operational trade-offs. Effective ingestion balances availability, freshness and operational complexity.
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.