Databricks and Lakehouse
Design and run scalable lakehouse platforms on Databricks for engineering, analytics and machine learning.
Capabilities
Lakehouse design
Delta Lake architecture with bronze, silver and gold layers.
Data engineering
Batch and streaming pipelines with quality checks.
Unity Catalog governance
Centralised access control, lineage and auditing.
ML enablement
Feature engineering and model lifecycle foundations.
Cost management
Cluster policies and job optimisation.
What changes for your organisation
- Scalable analytics. Handle growing data volumes with ease.
- Governed access. Fine grained security and lineage.
- AI ready. A foundation for machine learning and GenAI.
Delivery you can rely on
Consultants and engineers certified across Microsoft, AWS, VMware, ITIL and PMI.
Structured transition with knowledge transfer, so teams are productive within weeks.
Project, managed service, dedicated team or sprint models to fit your needs.
Response, resolution and availability targets agreed and reported monthly.
CSAT surveys after every interaction, reviewed with you and acted on.
Documented processes, runbooks and continual improvement in every engagement.
Named delivery manager, weekly status, monthly service reviews and quarterly business reviews.
Need to know access, confidentiality agreements and data protection by design.
Technologies we work with
Frequently asked questions
Do you work with Databricks on Azure and AWS?
Yes. We design and operate Databricks on both clouds.
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Ready to talk about your priorities?
Tell us where you are today. A specialist will respond within one business day with a clear next step.
