Data integration

Secure, automated pipelines integrate systems and ensure reliable, monitored data flows.

DATA INTEGRATION

Core components

Enterprise-grade integration capabilities for mission-critical data flows.

Continuous integration pipelines

Develop automated and resilient pipelines with comprehensive error handling

  • Support both scheduled and event-driven pipelines
  • Enable modular, reusable components for scalable maintenance
  • Automated retry logic and failover mechanisms
  • Real-time monitoring and alerting systems
Technologies
  • Fabric data pipelines
  • Azure data pipelines
  • Synapse data pipelines
  • Synapse data pipelines
  • Power Apps
  • Logic Apps

Change data capture frameworks

Implement change data capture for near real-time updates from enterprise systems

  • Optimize for low-latency replication using incremental load patterns
  • Staging delta strategies to avoid full refresh costs
  • Event-driven architecture for instant data propagation
  • Real-time monitoring and alerting systems
Supported sources
  • SQL Server
  • Oracle
  • SAP
  • D365 F&O

Error handling & troubleshooting

Build robust failover mechanisms with comprehensive diagnostics

  • Detailed logging and diagnostics for each transformation stage
  • Conditional reruns and automated recovery procedures
  • Performance monitoring and bottleneck identification
  • Comprehensive audit trails for compliance
Key features
  • Retry logic
  • Alert-based escalation
  • Logic Apps

Security and data governance

Enable secure transfer between environments with enterprise-grade security

  • Cross-region and hybrid cloud configurations
  • On-premise to cloud secure data transfer
  • Multi-subscription data movement
  • Multi-subscription data movement
Key features
  • Managed identities
  • Private endpoints
  • Data encryption
  • Role-based access control
  • Data masking
Best practice

Technical architecture

4-layer integration architecture for enterprise scale

01

Ingestion layer

Connectors, APIs, ETL/ELT jobs, and streaming pipelines that bring data into the integration environment.

Event hubs, Service bus, Logic Apps, Azure Data Factory

02

Processing layer

Cleansing, standardization, enrichment, and business logic applied to raw data.

Azure Functions, Synapse Pipelines, Stream Analytics, Databricks

03

Data storage layer

Centralized repositories such as data lakes, data warehouses, or lakehouses optimized for integrated data.

Azure SQL, Synapse, Data lake

04

Consumption layer

Source system, BI tools, dashboards, and reporting platforms that deliver insights to business users.

Dynamics F&O, SAP, Oracle, NetSuite, Dynamics CRM, Power Apps

Patterns

Integration scenarios

Common integration patterns and use cases

Legacy ERP to D365 F&O

Integrate historical data for ERP upgrade or pull data from a separate system.

  • Master & transactional data
  • Batch or scheduled

Benefits

  • Unified data view
  • Eliminate silos
  • For ERP upgrades or trending
D365 to Data Lake / SQL

Integrate historical data for ERP upgrade or pull data from a separate system.

  • Analytics & reporting
  • Batch or scheduled

Benefits

  • Analytics-ready data
  • Historical trending
  • Performance optimization
CSV to D365 / Lakehouse

Integrate historical data for ERP upgrade or pull data from a separate system.

  • Operational or bulk loads
  • Scheduled

Benefits

  • Automated processing
  • Data validation
  • Error handling
External API's to EDW

Integrate historical data for ERP upgrade or pull data from a separate system.

  • Integration, Pricing, HR
  • Real-time or scheduled

Benefits

  • Data enrichment
  • 365 degree data view
  • Operational efficiency
Standards

Project deliverables

Comprehensive integration solutions and support

Completed pipelines

Ensure automated, reliable, and secure data flows between source and target systems.

  • Automated and parameterized pipelines
  • Modular, reusable integration components
  • Event-driven and scheduled workflows
  • Performance-optimized data flows

Processing layer

Standardizes, transforms, and enriches data for consistent downstream consumption.

  • Data validation and reconciliation frameworks
  • Quality checks and business rule validation
  • Exception handling and error reporting
  • Data lineage and impact analysis

Monitoring & exception reporting

Provides visibility into pipeline performance and highlight issues requiring intervention.

  • Error dashboards and pipeline status monitors
  • Real-time alerting and notification systems
  • Performance metrics and SLA monitoring
  • Operational runbooks and procedures

Technical & user documentation

Captures design, logic, and usage details to support maintenance and end-user adoption.

  • CDC configurations and maintenance scripts
  • Integration documentation and architecture diagrams
  • Support runbooks and troubleshooting guides
  • Knowledge transfer and training materials

We build robust, secure, and automated data integration pipelines to connect legacy systems, external applications, and D365 Finance & Operations—enabling seamless and reliable data movement across your enterprise. Our solutions support real-time sync, incremental refresh, and batch-based workflows, with comprehensive error handling and monitoring

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your data systems?

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