Zorost launches its Databricks Modernization Practice
Zorost Intelligence today announced its Databricks Modernization Practice: a dedicated engineering practice for organizations moving legacy BI, ETL, and warehouse workloads onto the Databricks Lakehouse.
What the practice covers
The practice is organized into six tracks. Legacy BI migration rebuilds aging report estates on lakehouse-native SQL with governed metrics. ETL conversion moves hand-rolled and legacy-tool pipelines onto modern, observable engines, batch and streaming together. Dimensional modeling brings conformed warehouse discipline to Delta Lake. Unity Catalog governance establishes one plane for lineage, access control, and audit. Mosaic AI wiring connects vector search, model serving, and agent frameworks to data that is already governed. Cost engineering measures warehouse and cluster economics so the platform pays for its own modernization.
Why Zorost
Unlike consultancies that arrive with slide decks, Zorost arrives with production platforms. AlchemyLake, our lakehouse-native creative platform, installs directly into a Databricks workspace, and the same certified practitioners who run our systems run client modernizations. The migrations ship with parity testing and rollback paths, because the business must never lose a number it depends on.
Getting started
Engagements begin with an assessment: the estate is mapped, workloads are scored for migration order, and the first phase is sized. Book one through the contact page, or read the practice page for the full methodology.