Data + AI Modernization on Azure & Microsoft Fabric
Unify, modernize, and govern your data to accelerate analytics and prepare for Copilot and AI.
DynaTech helps you build AI‑ready data platforms on Azure & Fabric for faster insights and smarter automation.


Data + AI Modernization on Azure & Microsoft Fabric
Unify, modernize, and govern your data to accelerate analytics and prepare for Copilot and AI.
DynaTech helps you build AI‑ready data platforms on Azure & Fabric for faster insights and smarter automation.

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AI Struggles Without a Strong Data Foundation
Despite heavy investment by enterprises, analytics and AI underperform due to weak data quality, silos, and lack of governance.
Common issues include:
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Outdated data systems that can’t scale as your business grows
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Fragmented data that makes it hard to trust or analyze information
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Weak data governance that leads to inconsistent and unreliable insights
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Platforms not built for AI, limiting the potential of automation and decision-making
If these issues are left unchecked, AI and automation won’t provide the value they promise. DynaTech helps businesses modernize their data systems, ensuring they’re ready for future growth, smarter decisions, and optimal performance.

Azure Data & Microsoft Fabric Services
- Design lakehouse and data‑warehouse architectures for faster insights.
- Build data pipelines and Power BI for reliable, real-time analytics
- Migrate Synapse workloads to Microsoft Fabric for cost reduction.
- Implement a scalable data platform that grows with your business needs.
Data Warehouse & Lakehouse Modernization
- Modernize legacy warehouses using Azure and Fabric
- Design cloud lakehouse architectures for unified data
- Implement hybrid platforms with AI‑ready pipelines
- Optimize performance and cost for scalable analytics
Enterprise Data Governance Foundation
- Establish governance frameworks for consistent enterprise data
- Define policies enabling compliance and audit readiness
- Enable metadata, lineage, and trusted data quality
- Deliver reliable analytics through governed data processes
Unified Common Data Model
- Define Common Data Models for standard structures
- Unify schemas across Azure and Fabric platforms
- Align business entities for consistent analytics
- Enable a single, consistent source of data
Centralized Master Data Management
- Implement MDM to centralize core business data
- Maintain consistent master records across systems
- Improve accuracy with governance and data quality
- Support trusted reporting and enterprise‑wide analytics
AI-Ready Data Platforms & AI Agents
- Design AI‑optimized architectures for trusted insights
- Build semantic layers enabling AI consumption
- Create agent‑ready pipelines for intelligent automation
- Prepare data foundations for scalable AI adoption
Azure Data & Microsoft Fabric Services
- Design lakehouse and data‑warehouse architectures for faster insights.
- Build data pipelines and Power BI for reliable, real-time analytics
- Migrate Synapse workloads to Microsoft Fabric for cost reduction.
- Implement a scalable data platform that grows with your business needs.
Data Warehouse & Lakehouse Modernization
- Modernize legacy warehouses using Azure and Fabric
- Design cloud lakehouse architectures for unified data
- Implement hybrid platforms with AI‑ready pipelines
- Optimize performance and cost for scalable analytics
Enterprise Data Governance Foundation
- Establish governance frameworks for consistent enterprise data
- Define policies enabling compliance and audit readiness
- Enable metadata, lineage, and trusted data quality
- Deliver reliable analytics through governed data processes
Unified Common Data Model
- Define Common Data Models for standard structures
- Unify schemas across Azure and Fabric platforms
- Align business entities for consistent analytics
- Enable a single, consistent source of data
Centralized Master Data Management
- Implement MDM to centralize core business data
- Maintain consistent master records across systems
- Improve accuracy with governance and data quality
- Support trusted reporting and enterprise‑wide analytics
AI-Ready Data Platforms & AI Agents
- Design AI‑optimized architectures for trusted insights
- Build semantic layers enabling AI consumption
- Create agent‑ready pipelines for intelligent automation
- Prepare data foundations for scalable AI adoption
- Azure Data & Microsoft Fabric Services
- Data Warehouse & Lakehouse Modernization
- Enterprise Data Governance Foundation
- Unified Common Data Model
- Centralized Master Data Management
- AI-Ready Data Platforms & AI Agents
Azure Data & Microsoft Fabric Services
- Design lakehouse and data‑warehouse architectures for faster insights.
- Build data pipelines and Power BI for reliable, real-time analytics
- Migrate Synapse workloads to Microsoft Fabric for cost reduction.
- Implement a scalable data platform that grows with your business needs.
Data Warehouse & Lakehouse Modernization
- Modernize legacy warehouses using Azure and Fabric
- Design cloud lakehouse architectures for unified data
- Implement hybrid platforms with AI‑ready pipelines
- Optimize performance and cost for scalable analytics
Enterprise Data Governance Foundation
- Establish governance frameworks for consistent enterprise data
- Define policies enabling compliance and audit readiness
- Enable metadata, lineage, and trusted data quality
- Deliver reliable analytics through governed data processes
Unified Common Data Model
- Define Common Data Models for standard structures
- Unify schemas across Azure and Fabric platforms
- Align business entities for consistent analytics
- Enable a single, consistent source of data
Centralized Master Data Management
- Implement MDM to centralize core business data
- Maintain consistent master records across systems
- Improve accuracy with governance and data quality
- Support trusted reporting and enterprise‑wide analytics
AI-Ready Data Platforms & AI Agents
- Design AI‑optimized architectures for trusted insights
- Build semantic layers enabling AI consumption
- Create agent‑ready pipelines for intelligent automation
- Prepare data foundations for scalable AI adoption
Azure Data & Microsoft Fabric Services
- Design lakehouse and data‑warehouse architectures for faster insights.
- Build data pipelines and Power BI for reliable, real-time analytics
- Migrate Synapse workloads to Microsoft Fabric for cost reduction.
- Implement a scalable data platform that grows with your business needs.
Data Warehouse & Lakehouse Modernization
- Modernize legacy warehouses using Azure and Fabric
- Design cloud lakehouse architectures for unified data
- Implement hybrid platforms with AI‑ready pipelines
- Optimize performance and cost for scalable analytics
Enterprise Data Governance Foundation
- Establish governance frameworks for consistent enterprise data
- Define policies enabling compliance and audit readiness
- Enable metadata, lineage, and trusted data quality
- Deliver reliable analytics through governed data processes
Unified Common Data Model
- Define Common Data Models for standard structures
- Unify schemas across Azure and Fabric platforms
- Align business entities for consistent analytics
- Enable a single, consistent source of data
Centralized Master Data Management
- Implement MDM to centralize core business data
- Maintain consistent master records across systems
- Improve accuracy with governance and data quality
- Support trusted reporting and enterprise‑wide analytics
AI-Ready Data Platforms & AI Agents
- Design AI‑optimized architectures for trusted insights
- Build semantic layers enabling AI consumption
- Create agent‑ready pipelines for intelligent automation
- Prepare data foundations for scalable AI adoption
Azure Data & Microsoft Fabric Services
What We Do
- Implement Microsoft Fabric on Azure
- Design lakehouse and data warehouse architectures
- Build data pipelines and Power BI analytics
- Migrate Azure Synapse workloads to Fabric
Outcomes
- Faster analytics delivery
- Lower analytics operating cost
- Scalable enterprise data platform
Data Warehouse & Lakehouse Modernization
What We Do
- Modernize legacy data warehouses
- Design lakehouse architectures on Azure
- Implement cloud and hybrid data platforms
- Optimize performance and cost
Outcomes
- Scalable modern analytics
- Reduced infrastructure cost
- AI-ready data pipelines
MDM / CDM & Data Governance
What We Do
- Implement Master Data Management (MDM)
- Define Common Data Models (CDM)
- Establish data governance frameworks
- Enable metadata, lineage, and data quality
Outcomes
- Single, consistent source of data
- Trusted analytics and reporting
- Compliance and audit readiness
AI-Ready Data Platforms & AI Agents
What We Do
- Design AI-optimized data architectures
- Build semantic layers for AI consumption
- Enable agent-ready data pipelines
- Prepare data foundations for Copilot and AI agents
Outcomes
- Reliable AI insights
- Intelligent automation
- Scalable AI adoption
Azure Data & Microsoft Fabric Services
What We Do
- Implement Microsoft Fabric on Azure
- Design lakehouse and data warehouse architectures
- Build data pipelines and Power BI analytics
- Migrate Azure Synapse workloads to Fabric
Outcomes
- Faster analytics delivery
- Lower analytics operating cost
- Scalable enterprise data platform
Data Warehouse & Lakehouse Modernization
What We Do
- Modernize legacy data warehouses
- Design lakehouse architectures on Azure
- Implement cloud and hybrid data platforms
- Optimize performance and cost
Outcomes
- Scalable modern analytics
- Reduced infrastructure cost
- AI-ready data pipelines
MDM / CDM & Data Governance
What We Do
- Implement Master Data Management (MDM)
- Define Common Data Models (CDM)
- Establish data governance frameworks
- Enable metadata, lineage, and data quality
Outcomes
- Single, consistent source of data
- Trusted analytics and reporting
- Compliance and audit readiness
AI-Ready Data Platforms & AI Agents
What We Do
- Design AI-optimized data architectures
- Build semantic layers for AI consumption
- Enable agent-ready data pipelines
- Prepare data foundations for Copilot and AI agents
Outcomes
- Reliable AI insights
- Intelligent automation
- Scalable AI adoption
