AI readiness and strategy – AI maturity assessments, baseline definition, TCO/ROI modeling, compliance alignment, scalable data/AI operating model.
Governed Lakehouse foundation – Delta Lake landing zones, standardized ingestion and transformations, Unity Catalog governance, data quality, lineage, FinOps – accelerated by ZenseAI.data.
Migration and modernization – Modernizing legacy ETL, DWH, BI to Databricks using gen AI-driven code transformation/optimization.
Analytics and BI enablement – Governed KPIs, semantic layers, Databricks SQL dashboards, conversational BI with Genie.
ML engineering and orchestration – Feature Store, MLflow, model serving, gen AI or multi-agent applications built on Mosaic AI.
Operate, optimize, govern – Continuous Lakehouse monitoring for data quality, model drift, FinOps, evolving policy enforcement.
Lakehouse Migration and Modernization
Lakehouse Migration and Modernization
End-to-end, repeatable approach to de-risk migration, accelerate time-to-value, and optimize your Databricks Lakehouse.









