Technologies
Azure + Power BI
Analytics, Fabric data estates, and embedded insights in your apps.
We implement Power BI semantic models, Microsoft Fabric lakehouses, and Power BI Embedded in your Azure applications — with governed refresh, row-level security, and CI/CD for reports so business users and developers share one trusted data layer.
Discuss Power BI on AzureWhy Power BI on Azure
Fabric and Azure data services feed Power BI with scalable storage and compute; Embedded brings dashboards into customer-facing apps with Entra ID and capacity isolation.
Unified Data Platform
Fabric OneLake and Azure Synapse link raw data to curated semantic models without duplicate pipelines.
Row-Level Security
Dynamic RLS and object-level security align reports with Entra groups and app roles.
Embedded Experiences
Power BI Embedded serves dashboards inside SaaS products with token-based auth.
Capacity Planning
Right-sized Fabric F-skus and Embedded A-skus based on concurrency and refresh windows.
Power BI Reference Architecture on Azure
End-to-end flow from ingestion through semantic models to consumption and embedding.
Ingestion
Data Factory / Fabric Pipelines
Scheduled and event-driven loads from SaaS, databases, and files into the lakehouse.
Event Hubs / IoT
Streaming sources landed to OneLake or Synapse for near-real-time dashboards.
Modeling
Lakehouse / Warehouse
Medallion architecture with bronze-silver-gold tables in Fabric or Synapse.
Power BI Semantic Models
Star schemas, aggregations, and DQ rules documented for self-service users.
Consumption
Power BI Service
Workspace governance, deployment pipelines, and certified datasets for the org.
Power BI Embedded
App-owns-data or user-owns-data embedding in your Azure-hosted product.
What We Build with Power BI on Azure
Analytics deliverables spanning internal BI programs and customer-facing embedded reporting.
Executive & Operational Dashboards
KPI dashboards with drill-through, mobile layouts, and actionable bookmarks.
Fabric Data Estates
Lakehouse, warehouse, and pipeline design with DevOps for notebooks and Spark jobs.
Embedded Analytics SDK
React, Angular, or .NET apps hosting reports with secure embed tokens.
Semantic Model Design
Reusable datasets with documented measures and ownership for analysts.
Migration from Legacy BI
SSRS, Tableau, or on-prem SSAS moves to Power BI on Azure-aligned storage.
Azure & Microsoft Services in the Stack
Platform services that power reliable Power BI and Fabric solutions.
Azure Service
Role in stack
- Microsoft Fabric
Unified analytics platform — lakehouse, pipelines, and Power BI in one tenant.
- Azure Synapse Analytics
Dedicated SQL pools and Spark for large-scale transformation feeding Power BI.
- Azure Data Factory
Hybrid orchestration when Fabric and legacy Azure data factories coexist.
- Azure SQL / Cosmos DB
Operational sources replicated into analytics stores for reporting.
- Power BI Embedded
Azure capacity for embedding reports in multi-tenant SaaS applications.
- Microsoft Entra ID
SSO, service principals, and guest access policies for workspaces.
How We Deliver Power BI on Azure
Governance and engineering practices that keep analytics trustworthy.
- 1
Certified Dataset Program
Promotion workflow, owners, and change logs for models used enterprise-wide.
- 2
Deployment Pipelines
Dev/test/prod workspaces with automated XMLA or Fabric Git integration.
- 3
Performance Tuning
Aggregation tables, incremental refresh, and DAX review for large models.
- 4
Security by Design
RLS tests, sensitivity labels, and private links to data sources where required.
- 5
User Enablement
Training and guardrails so self-service does not fragment definitions of metrics.
Power BI on Azure Questions
- Fabric is Microsoft's consolidated analytics direction for greenfield estates. Synapse remains right when you have mature Synapse investments — we often bridge both during transition.
Deliver Trusted Analytics on Azure
Share your data sources and embedding goals — we outline Fabric, Power BI, and Azure architecture.
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