Challenge
The legacy pipeline was assembled from multiple engines, with data moved repeatedly between systems, insufficient nightly batch windows, inconsistent cross-system definitions, and high maintenance costs.
← All customer storiesAutomotive & manufacturing · Lakehouse Modernization
Cloud-Native Evolution: Upgrading an Automotive Company’s OLAP Engine Architecture
A unified real-time analytics engine replaces a multi-engine pipeline, keeping data free from repeated relocation and definitions consistent while supporting continuous growth.
01Core reports: T+1 → seconds02Multi-engine pipeline unified03Phased smooth migration
Approach
Rebuilt the core pipeline on a unified real-time analytics engine, with batch-stream ingestion into the lakehouse and phased, smooth migration of historical workloads for a lakehouse modernization upgrade.
Business impact
Core reports improved from T+1 to seconds, the pipeline was significantly simplified, and overall analytics costs dropped markedly.
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