← Toolsin production
Databricks
warehouse
Databricks consulting & implementation
Unified analytics and AI on the lakehouse.
Databricks is our default when ML, big data, and SQL need to live in the same place. We set up the lakehouse, Unity Catalog, and workflows so your data and AI teams aren't fighting the tool.
Databricks · live signal
What we've shipped with Databricks
0+
lakehouses live
0%
Unity Catalog default
0
workspace tiers
warehouseopinionated · databricks
When Databricks makes sense
Pick Databricks when…
- You have ML + SQL workloads in the same org
- You want a lakehouse over a warehouse
- You use Spark or need to
- Unity Catalog governance fits your org
What we implement
Beyond the tutorial.
01
Workspace setup
Workspaces, clusters, and permissions designed for data + ML teams.
02
Delta Lake
Bronze / silver / gold architecture with schema evolution and time travel.
03
Unity Catalog
Lineage, row access, and column masking across workspaces.
04
Workflows
Job orchestration, dependency management, and alerting.
Related services