Assess the maturity of your data lakehouse across architecture, ingestion, governance, observability, and productization dimensions.
Foundational lakehouse architecture, layout strategy, and storage optimization.
Batch, streaming, change data capture, and transformation orchestration maturity.
Data contracts, lineage, quality, cataloging, security posture, and operational telemetry.
Enablement of self-serve analytics, ML feature delivery, and productized data assets.
Your position across key capability dimensions.
Prioritized recommendations to accelerate maturity.
Download and share a branded PDF summary.
Repeat over time to evidence improvement.