Databricks Unity Catalog
3 use cases using this technology
A Journey Towards Unified Data Governance at bp
bp
bp implemented Databricks Unity Catalog to unify data governance across data previously spread across disparate systems, migrating over 270 Databricks workspaces from two separate data hub platforms and 15 standalone instances, serving 10,000+ users across Finance ERP, Customer and Products, Production and Operations, and Enterprise business entities. The migration, run in four phased quarters, delivered centralized governance, granular row/column-level access control, and automated column-level data lineage and audit logs. bp expects the consolidation to save nearly $1 million annually plus roughly $4,000 weekly by eliminating manual Overwatch job management, and the migration unlocked Delta Sharing, SQL Serverless Warehouses, and further AI features like model serving and fine-tuning.
Building a clean energy future with natural language analytics
Williams
Williams, a large-scale natural gas infrastructure operator, deployed Databricks AI/BI Genie to give commercial, regulatory, accounting and technical staff natural-language, self-serve access to analytics. The team flattened 27 disparate tables into SQL models that Genie Spaces reason over, encoding internal acronyms and business logic into Genie's instructions, powered by Databricks Unity Catalog. A data request that previously took an analyst five days now completes in seconds with validated accuracy, and the weekly backlog of data requests dropped from up to ten to one or two, freeing analysts for predictive modeling and enterprise projects.
NTT DOCOMO improves LLM usage analysis efficiency by 90% with Databricks
NTT DOCOMO
NTT DOCOMO built an internal 'LLM value-added platform' (approximately 10,000 monthly active users, 3 million monthly calls) and used the Databricks Data + AI Platform, including Model Serving for Azure OpenAI's GPT-4o and AI/BI Genie, to automate analysis of usage logs. This replaced manual Excel/Jupyter workflows, cutting monthly analysis work from 66 hours to 6 hours, a 90% reduction, while improving data governance via Unity Catalog.