Databricks & beON
Enterprise Lakehouse Architectures for Regulated Industries
Modern data platforms must enable AI, ensure governance, and withstand regulatory scrutiny at scale.
beON designs and implements Databricks Lakehouse architectures for enterprise organizations with complex system landscapes, SAP-centric data models, and strict compliance requirements.
We combine architectural rigor with scalable delivery to transform legacy data environments into AI-ready platforms.
Our Databricks Capabilities
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- Enterprise Lakehouse architecture design (AWS & Azure)
- Delta Lake implementation & performance optimization (Photon)
- Unity Catalog-based governance models
- Migration from legacy DWH platforms (SAP BW, traditional RDBMS)
- AI & ML platform enablement (MLflow, feature pipelines, MLOps)
- Secure integration with SAP S/4HANA, ERP, and enterprise applications
- Hybrid & multi-cloud data platform design
What Differentiates beON
Many Databricks projects focus on tooling.
We focus on architecture, governance, and long-term operability.
Our approach integrates:
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- Enterprise Architecture principles
- Governance-by-design
- Security alignment (ISO 27001, DORA, BAIT/VAIT)
- Clean SAP core strategies
- Structured program delivery in regulated environments
Databricks becomes not just a data platform, but a controlled, auditable enterprise capability.
Typical Engagement Scenarios
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- SAP BW – Databricks modernization programs
- Consolidation of fragmented BI ecosystems
- AI enablement in financial services
- Regulatory-compliant data platform redesign
- Multi-cloud Lakehouse rollout
Delivery Model
Over 300 IT experts across Germany, Austria, Portugal, and India, beON delivers scalable Databricks implementations under European governance standards, combining onshore architecture leadership with nearshore/offshore execution capacity.