Microsoft Fabric | Consulting
Microsoft Fabric consulting
We accompany you from the strategy to the productive data platform with in-depth Microsoft Fabricknow-how.
Making data usable with our Microsoft Fabric consulting
Most companies don't have a data problem. They have a fragmentation problem. Data is stored in SAP, in Excel, in CRM, in the cloud and in on-premises databases. Each system has its own logic, its own formats, its own access rules. The result: reports are laboriously created by hand, AI projects fail due to a lack of data, and strategic decisions are based on gut feeling rather than valid figures.
Microsoft Fabric addresses precisely this problem. The end-to-end SaaS platform combines data engineering, lakehouse architecture, data warehousing, real-time analytics, data science and Power BI in a single, uniformly managed environment - based on OneLake as the central data store for the entire company. Data silos are broken down, governance is centralized according to Microsoft standards, and AI functions such as Microsoft Copilot for Fabric are natively integrated.
At prodot, we know our way around Microsoft Fabric: from architecture decisions, ETL/ELT pipelines and lakehouse modeling to Power BI integration and rollout across the company. We ensure that your data is not only available, but actually generates added value - for reporting, analytics and AI use cases alike.
This is what our Microsoft Fabric consulting offers:
Holistic consulting, deep integration, secure implementation.
We take a holistic view of the architecture before we implementit
Every Microsoft Fabric implementation starts with the right foundation. We analyze your existing data landscape, define a viable lakehouse or warehouse architecture and work with you to decide which workloads are suitable for Fabric and which are not.
Deeply integrated into the Microsoft ecosystem
Microsoft Fabric only unfolds its full value in interaction with Microsoft 365, Azure, Power Platform, Dynamics 365 and SAP. We have the experience to cleanly connect these systems, including DirectLake access, Dataflows Gen2 and native Copilot integration.
From proof of concept to enterprise rollout
Whether it's the first use case or a company-wide rollout: we support both scenarios with tried-and-tested frameworks, clear milestones and a team that has already implemented Microsoft Fabric projects in demanding environments.
Added value of our Microsoft Fabric consulting
The most important advantages
No more data silos: a central foundation for all teams
- OneLake as a unified data store replaces distributed data architectures across departments and systems
- All workloads, from Data Engineering to Power BI, access the same data without redundant copies
- Uniform security and governance guidelines apply to the entire data landscape, not just individual tools
Faster from the data question to a well-founded decision
- Real-time analysis with Real-Time Intelligence enables reactions to changes in minutes instead of days
- Power BI with DirectLake delivers up-to-date reports without time-consuming data import
- AI-supported evaluations with Copilot for Fabric make complex analyses accessible even to non-technicians
Investment protection through seamless integration of existing systems
- SAP, Salesforce, Dynamics 365, AWS and other source systems can be connected via native connectors and Dataflows Gen2
- Existing Power BI reports and Azure services remain fully usable and are extended, not replaced, by Fabric
- Usage-based pricing model via Fabric Capacity Units protects against uncontrolled cloud costs
Scope of services related to our Microsoft Fabric consulting
With Microsoft Fabric, you are opting for a data platform that requires strategy, architecture and change management. We master all three levels.
Fabric Readiness Assessment & Strategy
We analyze your current data architecture, existing BI solutions and integration landscape, and develop a clear roadmap: Which workloads are moving to Fabric? What stays? Where is the greatest potential?
Lakehouse & warehouse architecture
We design the right data storage strategy based on OneLake, whether medallion architecture(bronze/silver/gold), lakehouse or warehouse model. Everything is tailored to your data volumes, latency requirements and usage scenarios.
Data Engineering & Pipeline Development
Building robust data pipelines with Data Factory, Dataflows Gen2 and Spark Notebooks for reliable ETL/ELT processes that deliver your source data clean, transformed and consistent in Fabric.
Power BI & Real-Time Analytics
Development of semantic models, DirectLake-optimized reports and interactive dashboards as well as connection of real-time data streams via Eventstream and KQL databases for time-critical use cases.
AI & Microsoft Copilot integration
Integration of Copilot for Fabric, Notebook-based Machine Learning and Azure OpenAI into your Fabric environment so that your data platform not only reports, but also predictively analyzes and generates recommendations.
Governance, security & rollout
Setting up Microsoft Purview for data catalog and compliance, role-based access control, capacity management and structured rollout including training and enablement for your data teams.
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Questions & Answers
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What is Microsoft Fabric?
Microsoft Fabric combines data integration, data engineering, data warehousing, real-time analytics and Power BI on a single platform with shared data storage (OneLake).
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Why is Microsoft Fabric relevant for my company?
It becomes relevant for you as soon as your data is distributed in different systems and you need a standardized, scalable basis for analyses and AI, without an additional tool landscape.
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What are the advantages of Microsoft Fabric?
- Unified platform - data, analytics, BI and AI in a single tool
- No data move - OneLake as central data storage, all workloads access it directly
- Deeply integrated into Microsoft 365 & Azure - Power BI, Teams, Azure, Dynamics run together natively
- Copilot-ready - AI features built in directly, no extra setup
- Cost transparency - a standardized capacity model instead of many individual licenses
- Less tool proliferation - replaces many individual solutions (ADF, Synapse, Power BI Premium)
- Scalable - from the first use case to enterprise rollout
- Cross-role - data engineers, analysts and BI developers work on the same platform
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When is Microsoft Fabric the right choice and when is it not?
Fabric is particularly strong if you are Microsoft-heavy and want to merge data from Azure, Power BI, M365 or Dynamics. For very simple reporting requirements or highly specialized non-Microsoft stacks, a different architecture may be more economical. We evaluate this together, without product preference.
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What is the difference between Lakehouse and Data Warehouse in Microsoft Fabric?
The Lakehouseis suitable for flexible,schema-on-readarchitectures with large, heterogeneous data volumes. The datawarehouse is the right choice if structured, SQL-based queries and clearly defined reporting structures are the main focus. We clarify which model or combination is right for you in the Fabric Readiness Assessment.
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How long does a Microsoft Fabric implementation take?
An initial productive lakehouse or warehouse with a basic data pipeline can be implemented in four to eight weeks. The total effort required depends on the complexity of the data, the number of source systems and the desired level of maturity.
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What does a Microsoft Fabric implementation cost?
Here too, the overall cost depends on the complexity of the data, the number of source systems and the desired level of maturity. We recommend a structured start with an assessment before any large budgets are allocated.
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Does Microsoft Fabric also work with our existing systems such as SAP or Dynamics?
Yes, Fabric can be connected to SAP, Dynamics, Salesforce, REST APIs and on-premise data sources via Dataflows Gen2, native connectors and Azure Data Factory. Existing Power BI reports and Azure investments are retained and transferred to Fabric - no reboot, but gradual migration.
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