- Data leaders
- Operations teams
- CIO organizations
- Product teams
Catalogue › Data & Artificial Intelligence › Data Engineering & Integration
Data & Artificial Intelligence
Data Engineering & Integration
Design and implementation of trusted data pipelines, integration layers and governed data stores that make operational data usable across analytics, automation and AI.
- Consistent and timely data
- Reduced manual reconciliation
- Traceable transformations
- Reusable data services for analytics and AI
- Source assessment and data contracts
- Batch and streaming ingestion
- Cleaning, normalization and enrichment
- Lakehouse, warehouse or operational data store
- Metadata, lineage and quality controls
- API and event integration
- Confirmed scope, stakeholders, assumptions and acceptance criteria
- Assessment, design or implementation work products
- Decision log, risk register and issue resolution
- Testing or evidence pack appropriate to the service
- Knowledge transfer, administrator guidance and handover
- Follow-up support or managed-service transition where contracted
- Cloud-native or hybrid architecture
- Master data management
- Real-time event processing
- Managed data platform operations
- Edition, modules and user/location count
- Hosting, environments and availability target
- Data migration and integrations
- Configuration versus custom development
- Security, compliance and assurance scope
- Training, support and service level
Content on this page comes from the governed ARRIX catalogue record DAI-01; pricing is confirmed only through a reviewed quotation.