Context and constraints
PAE is one of Argentina's largest energy companies. Its reporting had grown system by system: dashboards and data models lived inside the legacy platforms that produced them.
The program set two goals at once: consolidate that estate into a single platform, and make the result accountable, so that every asset on it has someone responsible for it and a traceable origin.
The architecture decision
A lakehouse on AWS is the single place where data lands and is served: Apache Iceberg tables for open, versioned storage; AWS Glue for ingestion and cataloguing; Amazon Athena to query without a warehouse to operate.
Governance is not a document beside the platform but a model applied asset by asset: each dataset and dashboard gets an owner, its lineage back to the source systems, and explicit quality criteria. That is what turns a consolidation into a source of truth.
What the client got
- Enterprise-wide consolidation of dashboards and data models on one platform.
- A governance model defined asset by asset: ownership, lineage and quality criteria.
Stack
- AWS Lakehouse
- Apache Iceberg
- AWS Glue
- Amazon Athena
- Data Governance
- Data Lineage