Azure Databricks
Build a unified, governed data lakehouse for data and AI
Unify your data, analytics, and AI on Azure Databricks with governance, lineage, and secure collaboration built in.



Empower your data teams with OZ Digital and Azure Databricks
Data and AI governance, simplified
Benefit from our deep data and AI expertise and experience building business-tailored solutions.
A modern, governed data and AI foundation
Our experts help you design and implement a lakehouse platform so your data teams can ship reliably, your business teams can trust the data, and security teams can rest easy.
Built for speed, trust, and scale
Build a secure, scalable lakehouse to run BI, ML, and GenAI while delivering faster time to value and lower operational risk through governance, access control, lineage, and policies.
One control plane for data + AI governance
Bring centralized governance to your lakehouse with Unity Catalog. Define access policies just once and apply them across your teams, workspaces, and workloads.
See how leading brands unify data and AI with Azure Databricks
Achieve more with an open lakehouse
With Unity Catalog and open protocols like Delta Sharing, discover, share, and analyze data at scale while maintaining governance, auditability, and privacy across use cases.
Align catalog/schema strategy to domains, environments, and operating model
Operationalize data discovery, documentation, and stewardship workflows
Enjoy lineage and audit-ready governance for analytics and ML assets
Implement data sharing patterns for internal and external collaboration
Get fine‑grained access control and credential patterns
Business use cases we support
Every organization works a little differently. We’ll meet you where you are, design around your data needs, and make sure everything fits naturally into the broader Azure ecosystem and the tools you rely on across data, BI, governance, and AI.
- Helping you determine the right fit for operational vs. analytical use cases
- Proven reference architectures for applications and analytics working side by side
- Standardized, secure governance with Unity Catalog across multiple workspaces and regions
- Migration from legacy meta stores to Unity Catalog
- Native Azure integrations that speed up adoption and reduce friction
- Lakehouse platform foundations
- Medallion data product patterns (Bronze, Silver, Gold)
- Reliable streaming and batch ingestion with built‑in quality checks
- SQL performance tuning and cost‑control best practices
- Lakebase for operational workloads when you need it
Integrations
Identity & access
Entra ID and enterprise group-based policy models
Governance
Microsoft Purview alignment and auditing patterns
Analytics
Power BI integration patterns and semantic layer approaches
Artificial Intelligence
Azure AI Foundry/Azure OpenAI enablement patterns
Data estates
ADLS, event streaming, and domain data platform integrations