BI & Data Warehousing
Modelled, governed and fast — on Oracle and Databricks.
For teams whose numbers are argued about more than they are used.
- Dimensional and Data Vault models that survive the next reorganisation.
- ELT pipelines on Databricks and Oracle: batch, incremental and streaming.
- Lakehouse architecture — Delta tables, medallion layers, Unity Catalog governance.
- Migration from a legacy Oracle warehouse to a lakehouse, without stopping the reporting.
- Semantic layers and dashboards the business actually reads.
- Performance and cost work: partitioning, indexing, query tuning, cluster sizing.
What changes
One set of numbers, published on a schedule people can plan around, with a lineage you can follow back to the source system.
- Oracle
- Databricks
- Delta Lake
- PL/SQL
- Spark
- dbt
- Airflow
- Power BI