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Case study · Enterprise
Enterprise CDC Platform
Near-current data from operational systems, delivered to the lakehouse through change data capture.
Illustrative example · client anonymizedSource Systems
CDC
Lakehouse
Analytics
The challenge
Business teams needed near-current data from operational systems, but batch extracts were slow and placed heavy load on source databases.
Our approach
01
Assess
Identify CDC-capable sources and latency requirements.
02
Design
Define streaming, merge, and replay patterns.
03
Build
Engineer resilient CDC pipelines with built-in quality checks.
04
Monitor
Add reconciliation and operational visibility.
Outcomes
RESULT
—
Data latency
Add verified metric
RESULT
—
Source system load
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RESULT
—
Reconciliation coverage
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Technology
CDCApache SparkDelta LakeDatabricksPython