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Data & AI platforms

Enterprise data lakehouse

What we design: enterprise data lakehouse. These are solution capabilities, not claims of completed projects. Technical choices are made during discovery.

01 / SOLUTION DESIGN

Functional building blocks

Delivery capabilities: Enterprise data lakehouse

↗User roles and business workflows
↗Workspaces, rules and process automation
↗Reporting, notifications and audit events
↗Administration, monitoring and APIs
Architecture is selected for workload, availability targets, SLAs and infrastructure constraints: modular monolith, microservices or event-driven components.
SOLUTION ARCHITECTURE

What the system can include

Functional modules, integration boundaries and engineering decisions to scope a tailored implementation — not a claim of an existing product.

Functional modules

  • Batch and streaming ingestion
  • Medallion data layers
  • Semantic models
  • Data quality

Systems and integrations

  • Operational databases
  • Event streams
  • BI platforms

Engineering considerations

  • Lineage tracking
  • Governance
  • Cost-aware storage

Discovery checklist

  • Target workflows and measurable success criteria
  • Expected scale, user roles and availability requirements
  • Existing systems, APIs and data ownership
  • Security, hosting and compliance constraints
Discuss architecture ↗
02 / ENGINEERING

Architecture approach

01

Architecture approach

Architecture is selected for workload, availability targets, SLAs and infrastructure constraints: modular monolith, microservices or event-driven components.

02

Integrations and data

APIs and adapters for ERP, CRM, identity, payments and analytics; controlled migration, synchronization and data-quality measures.

03

Reliability and security

Role-based authorization, encryption, observability, resilience, vulnerability testing and applicable regulatory controls are designed in from the start.

03 / EXECUTION

Delivery stages

↗Business discovery and requirements
↗Architecture and data model design
↗Iterative development and integration
↗Performance validation and controlled release
04 / HANDOVER

What the client receives

Requirements dossier, architecture decisions, source code and infrastructure, automated tests, operating documentation and a support transition plan.

Discuss solution architecture ↗