EPC Group integrates Azure, Power BI, and Microsoft Fabric with Salesforce, SAP, Snowflake, Databricks, and Oracle. These are real integration patterns built for enterprises running hybrid technology stacks. The Microsoft-first approach keeps governance, security, and compliance in one control plane. Last updated: 2026 · Read time: ~6 min

Key Facts

EPC Group held Gold Partner status from 2016 until program retirement — the oldest continuous Gold Partner in North America.
EPC Group currently holds core Microsoft Solutions Partner designations.
Fewer than 50 firms globally share that full designation set.
Engagement timeline: 8–16 weeks depending on complexity.
Active Directory schema decisions from 2005 affect Entra ID Conditional Access design in 2026. Legacy architecture choices matter.

Microsoft-First, Not Microsoft-Only: The Enterprise Hybrid Integration Guide

By Errin O'Connor, Chief AI Architect & CEO, EPC Group | Updated April 2026

Every enterprise has a hybrid technology stack. Fortune 500 organizations that EPC Group advises cannot rely on a single-vendor environment. They often use:

Salesforce with Dynamics
SAP with Azure
Snowflake with Fabric

Our role is to make Microsoft the intelligent layer that connects, analyzes, and governs data across all these systems.

This guide outlines the actual integration patterns we implement in production.

Why "Microsoft-First" Is the Right Strategy

Microsoft-first does not mean Microsoft-only. It means that Microsoft Azure, Power BI, Microsoft Fabric, Copilot, and Microsoft 365 form the strategic platform — the analytics, AI, collaboration, and governance backbone — while operational systems from other vendors feed into and integrate with that platform.

This approach is effective because Microsoft holds a unique place in the enterprise stack. It serves as:

Productivity platform: Outlook, Teams, Office
Analytics platform: Power BI, Fabric
AI platform: Copilot, Azure OpenAI
Governance platform: Purview, Defender
Cloud platform: Azure

No other vendor covers this range. By making Microsoft the strategic backbone, every other system becomes an integration point instead of a standalone solution.

Treating every technology as equal and creating point-to-point integrations can lead to high maintenance costs. This method is difficult to manage and does not effectively support enterprise AI initiatives. EPC Group has seen this issue frequently. A Microsoft-first approach provides:

Streamlined integrations
Lower maintenance costs
Better support for AI initiatives

Lower total cost of ownership (TCO)
Faster time-to-insight
Stronger governance posture

Integration Pattern 1: Salesforce CDC to Microsoft Fabric

Salesforce is the most common non-Microsoft system used by our enterprise clients. The challenge lies not in connecting Power BI to Salesforce—this is possible—but in doing so at an enterprise scale. Key concerns include:

Avoiding API limits
Minimizing latency issues
Preserving data lineage

EPC Group's Production Pattern

Salesforce Change Data Capture (CDC): Enable CDC on key Salesforce objects (Account, Opportunity, Contact, Case, custom objects). CDC publishes change events to the Salesforce event bus in near-real-time.
Azure Event Hubs: A lightweight integration layer subscribes to Salesforce CDC events and publishes them to Azure Event Hubs. This decouples Salesforce from the analytics pipeline and provides buffering for volume spikes.
Fabric Eventstream: Fabric Eventstream ingests from Event Hubs into OneLake in Delta format. Automatic schema evolution handles Salesforce field additions without pipeline breaks.
Fabric Lakehouse: Salesforce data lands in a Bronze layer (raw CDC events), is transformed in Silver (business logic, deduplication, type casting), and joined with Microsoft data in Gold (unified customer 360, revenue analytics).
Power BI Semantic Model: A Direct Lake semantic model on the Gold layer provides sub-second query performance for executive dashboards combining Salesforce pipeline data with Microsoft 365 collaboration metrics.

This approach addresses the common issue of direct Power BI-to-Salesforce connectors. These connectors often reach API limits, offer slow refresh rates, and create unmanageable data copies.

Our production implementations effectively manage:

11,000+ Salesforce records at engagement scale
15-minute data freshness

Integration Pattern 2: SAP BW to Power BI via Fabric

SAP is essential for finance and operations for many EPC Group clients. This is especially true in the manufacturing, healthcare, and financial services sectors.

One of the most requested integration patterns we provide is connecting SAP BW (Business Warehouse) to Power BI.

SAP BW connector in Fabric Data Factory: Native connector that extracts data from SAP BW InfoProviders, InfoCubes, and DSOs without custom ABAP development. Supports delta extraction for incremental loads.
SAP HANA direct query: For real-time operational reporting, Power BI connects directly to SAP HANA views through the on-premises data gateway. EPC Group uses this for manufacturing floor dashboards where 1-minute latency matters.
SAP OData services to Fabric: For SAP S/4HANA Cloud, OData APIs provide a modern integration path into Fabric pipelines. EPC Group configures incremental extraction using change tracking timestamps to minimize SAP system load.
Azure Data Factory SAP CDC: For high-volume SAP extraction, Azure Data Factory's SAP CDC connector provides near-real-time replication of SAP tables into Fabric OneLake. This is the pattern we recommend for enterprise-scale SAP-to-Fabric integration.

The main takeaway from our SAP integration experience is that the technical connector is rarely the bottleneck. The real challenge is modeling SAP's complex data structures.

These structures include:

Hierarchies
Currencies
Fiscal calendars

These elements must be translated into Power BI semantic models that business users can easily understand.

EPC Group's expertise in SAP and Power BI covers both aspects:

Technical connectors
Data modeling

Integration Pattern 3: Snowflake + Fabric Mirroring

Many EPC Group clients have made significant investments in Snowflake for data warehousing. The key question is not, "Should we replace Snowflake with Fabric?" Instead, it is, "How can we maximize the benefits of both?"

Fabric Mirroring offers a solution to this challenge.

Fabric Mirroring creates a synchronized copy of Snowflake data in OneLake. It eliminates the need to build or maintain data pipelines. Changes made in Snowflake are automatically updated in Fabric.

This feature allows for Power BI Direct Lake queries against Snowflake-sourced data. It offers the performance of local Delta tables. As a result, it removes the usual tradeoff between data freshness and query performance.

When Fabric Mirroring Makes Sense

Snowflake is the established data warehouse and migration is not planned
Power BI is the enterprise BI standard and needs Snowflake data at scale
AI workloads in Fabric (Copilot, ML models) need access to Snowflake-managed data
Data governance via Purview needs to span Snowflake and Microsoft data
Eliminating data pipeline maintenance cost is a priority

EPC Group has implemented Fabric Mirroring for clients using Snowflake warehouses of 10TB or more. This solution offers a unified analytics experience. Business users do not need to know or care if data comes from Snowflake or native Fabric sources.

The governance layer includes:

Purview sensitivity labels
Row-level security
Data lineage

These features work the same way across both data sources.

Integration Pattern 4: Databricks Unity Catalog + Fabric

Databricks is the top choice for data engineering and machine learning workloads in many organizations that EPC Group advises. The integration with Fabric highlights their complementary strengths:

Databricks: Ideal for complex data engineering tasks, including Spark-based ETL, ML model training, and streaming.
Fabric: Best for business analytics, featuring tools like Power BI, Copilot, and Purview governance.

OneLake shortcuts to Databricks Unity Catalog: Fabric can create shortcuts that provide read access to Delta tables managed by Databricks Unity Catalog. No data copying — Power BI queries traverse the shortcut to Databricks-managed storage.
Databricks writing to OneLake: Databricks notebooks can write directly to OneLake storage using the ABFS (Azure Blob File System) driver, enabling Databricks-processed data to appear instantly in Fabric lakehouses.
Unified Delta Lake format: Both Fabric and Databricks operate on Delta Lake format, eliminating format conversion overhead and ensuring data fidelity across platforms.

The EPC Group architecture principle for Databricks + Fabric is straightforward. Use Databricks where its Spark engine performs best. This includes:

Complex transformations
ML training
Streaming

On the other hand, use Fabric where its business platform excels. This includes:

Power BI visualization
Copilot AI assistance
Purview governance
Business user self-service

This approach is not a competition; it represents a complementary architecture.

Integration Pattern 5: Oracle to Azure for Analytics

Oracle databases, whether on-premises or in Oracle Cloud, play a crucial role in enterprise operations. This is especially true in financial services and government sectors. EPC Group's Oracle integration patterns aim to make Oracle operational data accessible for Microsoft analytics. This is done without disrupting applications that depend on Oracle:

Seamless data access
Enhanced analytics capabilities
Minimal disruption to existing applications

Oracle CDC via Fabric Data Factory: Change data capture from Oracle databases into Fabric OneLake for near-real-time analytics
Oracle GoldenGate to Event Hubs: For clients with existing GoldenGate investments, we route change streams through Azure Event Hubs into Fabric
Power BI DirectQuery to Oracle: For low-latency operational dashboards through the on-premises data gateway
Oracle Autonomous Database + Azure Arc: For Oracle Cloud environments, Azure Arc provides unified management and monitoring alongside native Oracle workloads

Governance Across the Hybrid Stack

The most important part of hybrid integration is unified governance. Data flows from Salesforce through Fabric into Power BI. This data needs consistent classification, lineage, and access control. EPC Group uses Microsoft Purview as the governance backbone for hybrid environments:

Consistent classification
Data lineage tracking
Access control management

Multi-source scanning: Purview scans and classifies data across Azure, Snowflake, SAP, Salesforce, Oracle, AWS S3, and Google BigQuery from a single governance plane
Unified data catalog: Business users find and understand data regardless of source system through a single searchable catalog
Sensitivity labels: Classification labels applied in Purview propagate to Power BI reports, Fabric notebooks, and Copilot responses
Data lineage: End-to-end lineage from source system (Salesforce record, SAP table, Snowflake view) through transformation to consumption (Power BI report, Copilot answer)
Access governance: Unified access reviews and entitlement management across the hybrid stack through Entra ID and Purview policies

This governance approach is what enables our clients in regulated industries to confidently build analytics and AI on hybrid data — they can demonstrate to auditors exactly where data came from, how it was classified, who accessed it, and what controls were applied at every step. Learn more about our approach in our AI Governance practice.

Frequently Asked Questions

Does EPC Group only work with Microsoft technologies?

No. EPC Group is Microsoft-first, not Microsoft-only. While Microsoft is our primary technology ecosystem and deepest expertise area, we have extensive integration experience with Salesforce, SAP, Snowflake, Databricks, Oracle, AWS, Google Cloud Platform, and dozens of industry-specific platforms. Our engagements routinely involve connecting Microsoft analytics and AI capabilities with non-Microsoft data sources, CRMs, and operational systems. The real world is hybrid, and so are our architectures.

Can Power BI connect to Salesforce data effectively?

Yes. EPC Group has built production Power BI deployments sourcing data from Salesforce for Fortune 500 clients. The most effective pattern uses Salesforce CDC (Change Data Capture) events streamed through Azure Event Hubs into Microsoft Fabric OneLake, where Power BI consumes the data with near-real-time freshness. This approach avoids the API call limits and performance issues of direct Power BI-to-Salesforce connectors while enabling semantic modeling across Salesforce and Microsoft data in a unified lakehouse.

How does Microsoft Fabric work with Snowflake?

Microsoft Fabric supports Snowflake integration through multiple patterns: Fabric Mirroring (preview) for near-real-time data synchronization without data movement pipelines, Fabric Data Factory pipelines with native Snowflake connectors for batch ETL, and OneLake shortcuts that provide virtualized access to Snowflake-managed data. EPC Group recommends Fabric Mirroring for analytics workloads where Snowflake remains the operational data store and Fabric serves as the semantic and AI layer.

What is the typical timeline for a hybrid integration architecture engagement?

EPC Group's hybrid integration engagements typically run 8-16 weeks depending on complexity: 2-3 weeks for discovery and architecture design (mapping data sources, integration patterns, security requirements), 4-8 weeks for implementation (data pipelines, semantic models, security configuration), 2-3 weeks for testing and optimization, and 1-2 weeks for knowledge transfer. Organizations with existing Azure infrastructure and well-documented source system APIs are on the shorter end; greenfield Azure + multiple legacy source systems are on the longer end.

How does EPC Group handle data governance across hybrid Microsoft and non-Microsoft environments?

Microsoft Purview is the governance backbone for hybrid environments. EPC Group configures Purview to scan and classify data across Azure, Snowflake, SAP, Salesforce, Oracle, and AWS S3 from a single governance plane. Sensitivity labels applied in Purview propagate to Power BI reports, Fabric lakehouses, and Copilot responses — ensuring that governance policies follow the data regardless of where it originates. This unified governance approach is critical for regulated industries where data lineage and classification must span the entire technology stack.

Related Resources

Design Your Hybrid Integration Architecture

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Microsoft-First Hybrid Integration: Enterprise Guide

EPC Group integrates Azure, Power BI, and Microsoft Fabric with several platforms. These platforms include:

Salesforce
SAP
Snowflake
Databricks
Oracle

These integration patterns are tailored for enterprises that utilize hybrid technology stacks.

The Microsoft-first approach ensures that governance, security, and compliance are managed within a single control plane.

Last updated: 2026 · Read time: ~6 min

Key facts

EPC Group held Gold Partner status from 2016 until program retirement — the oldest continuous Gold Partner in North America.
EPC Group currently holds core Microsoft Solutions Partner designations.
Fewer than 50 firms globally share that full designation set.
Engagement timeline: 8–16 weeks depending on complexity.
Active Directory schema decisions from 2005 affect Entra ID Conditional Access design in 2026. Legacy architecture choices matter.

What is Microsoft-first hybrid integration?

Most large enterprises use a mixed technology stack. They rely on:

Salesforce for CRM
SAP for ERP
Snowflake or Databricks for analytics
Oracle for databases

Microsoft tools are also part of this technology mix.

Microsoft-first hybrid integration means that Microsoft serves as the governing layer. Key components include:

Azure Data Factory
Microsoft Fabric
Power BI

These tools connect to external systems. However, security, compliance, and data governance are managed through Microsoft Purview and Entra ID.

This approach is important for regulated industries. Auditors can track the origin of data, its classification, who accessed it, and the controls in place at each step.

All this information is available through one console, rather than having to navigate six different vendor portals.

Integration patterns EPC Group uses

Salesforce to Microsoft Fabric

Azure Data Factory imports Salesforce data into a Fabric lakehouse. Power BI connects to the semantic model for reporting.

Furthermore, Copilot can query Salesforce data through the Microsoft layer. This feature removes the need for direct access to Salesforce.

SAP to Azure and Power BI

SAP integration uses Azure Integration Services or Fabric dataflows. Finance and operations data lands in a Fabric warehouse. Power BI reports replace SAP BusinessObjects for most analytical workloads.

Snowflake and Databricks alongside Fabric

Some clients use Snowflake or Databricks for specific workloads. Microsoft Fabric can directly query these sources through mirroring or shortcuts. Power BI connects to both platforms.

Additionally, Microsoft Purview manages data classification across all sources:

Snowflake
Databricks
Microsoft Fabric
Power BI

Oracle to Azure SQL or Fabric

Oracle databases can migrate to either Azure SQL Database or Azure SQL Managed Instance. EPC Group utilizes the Azure Database Migration Service for the technical transition.

After migration, Fabric and Power BI take over the role of Oracle OBIEE for analytics.

Why Microsoft heritage matters for integration

Microsoft platform decisions are interconnected over the years. For instance, a SharePoint 2003 information architecture choice affects Copilot grounding quality in 2026.

Additionally, an Active Directory schema decision from 2005 impacts Entra ID Conditional Access policy today.

EPC Group has 29 years of Microsoft consulting experience. We understand the various layers of technology integration. Our approach not only addresses the current state but also plans for how the stack will evolve over the next five years.

Engagement phases and timeline

Hybrid integration engagements typically run 8–16 weeks. Complexity determines where you land in that range. The four phases run sequentially:

Discovery and architecture design (2–3 weeks). Map data sources, integration patterns, and security requirements. Produce an architecture decision record.
Implementation (4–8 weeks). Build data pipelines, semantic models, and security configuration. Stand up Purview governance for all connected sources.
Testing and optimization (2–3 weeks). Validate data accuracy, performance, and compliance controls against target state.
Knowledge transfer (1–2 weeks). Train client team on administration, monitoring, and pipeline maintenance.

Governance across hybrid sources

Microsoft Purview scans and classifies data across all connected sources — not just Microsoft ones. Sensitivity labels flow from the source system through Fabric processing into Power BI reports.

Data lineage tracks every transformation step. Compliance teams can pull a full lineage map for any report. This is what regulated industries need to show auditors.

Conditional Access policies in Entra ID control which users reach which data sources. One policy set covers the entire hybrid environment.

Frequently asked questions

Does Microsoft Fabric replace Snowflake or Databricks?

Fabric can replace both Snowflake and Databricks for many workloads. However, some clients prefer to retain Snowflake or Databricks for certain use cases. In these situations, Fabric can:

Mirror these sources
Provide shortcuts to access data

The Microsoft layer manages:

Governance
Reporting
AI

This is true even when the underlying data remains in a third-party platform.

How long does a hybrid integration project take?

Integrations generally take between 8 to 16 weeks to complete. A single-source integration, such as from Salesforce to Fabric, usually requires about 8 weeks. In contrast, multi-source integrations with complex security needs may take 12 to 16 weeks.

The discovery phase, which occurs in the first week, helps to confirm this timeline.

Can EPC Group work alongside our existing SAP or Salesforce team?

EPC Group manages the Microsoft layer. Your SAP or Salesforce team handles their platform. We develop integration specifications for both teams to follow.

To maintain alignment during the engagement, we hold coordination calls.

What compliance frameworks does this approach support?

The Microsoft-first governance model supports several important compliance frameworks, including:

HIPAA
SOC 2
GDPR
FedRAMP
CMMC

Microsoft Purview offers an audit trail and data classification features. Entra ID ensures access control. Both solutions are pre-validated against these frameworks through Microsoft's compliance certifications.

Why use Microsoft tools as the governance layer rather than a third-party platform?

Microsoft Purview is the only platform that manages data across Microsoft 365, Azure, and Microsoft Fabric from a single console. It also extends governance to third-party sources. This unified approach helps reduce audit complexity and bridges the gap between compliance policy and enforcement.

Ready to build a governed hybrid data architecture? Contact EPC Group to start your integration assessment.