Services
From raw data to measurable outcomes
Six practices that cover the full lifecycle of a modern data and AI platform — delivered by senior Databricks specialists.
01
Data Engineering & Lakehouse
Design and build a governed, real-time Lakehouse foundation on Delta Lake.
Capabilities
- Lakehouse Architecture Design
- Delta Lake Implementation
- Data Pipelines
- Streaming Analytics
- Platform Modernization
02
Data Migration & Modernization
De-risk and accelerate your move off legacy warehouses, Hadoop, and ETL tools.
Capabilities
- Data Warehouse Migration
- Cloud Migration
- Hadoop Migration
- ETL Modernization
- Migration Assessment
03
AI & Machine Learning
Operationalize ML and Generative AI with MLflow, Mosaic AI, and agent frameworks.
Capabilities
- AI Strategy
- Machine Learning Platforms
- MLOps
- Generative AI
- AI Agents
- Feature Store
04
Data Governance & Trust
Make data discoverable, secure, and compliant with Unity Catalog at the core.
Capabilities
- Unity Catalog
- Data Quality
- Security & IAM
- Compliance
- Data Lineage
05
Analytics & Business Intelligence
Deliver self-service analytics and executive insight on Databricks SQL.
Capabilities
- Databricks SQL
- Executive Dashboards
- Power BI Integration
- Tableau Integration
- KPI Reporting
06
Platform Operations & Value Realization
Run a healthy, cost-efficient platform with a managed services CoE.
Capabilities
- Managed Databricks Operations
- Cost Optimization
- Performance Tuning
- Health Checks
- Support & CoE