microsoft / microsoft/fabricnotes

How Power BI fits in fabric

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CSS
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118
Forks
31
Avg merge
4d 13h
Merged PRs (30d)
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Description

Unified Data Platform:

Microsoft Fabric is an end-to-end data platform that provides a unified approach to data integration, management, and analytics. It combines a set of services like Data Factory, Azure Synapse, Data Lake, Data Engineering, and Power BI to allow seamless data workflows and insights.
Power BI serves as the front-end visualization layer of this ecosystem. While Fabric handles data preparation, transformation, and storage, Power BI provides business users with powerful data exploration and reporting tools on top of that data.
Data Integration and Preparation:

Fabric offers data integration and engineering tools (such as Data Factory and Data Engineering), which help in preparing and transforming data for reporting. Once the data is processed, Power BI can easily connect to these datasets to create actionable visualizations.
Power BI can connect to datasets stored in Data Lakes, Synapse, or Azure SQL, pulling data directly from these sources into interactive reports.
Real-Time and Scalable Analytics:

Power BI supports real-time analytics on top of large-scale data. Within the Fabric ecosystem, it can connect to Azure Synapse Analytics for large-scale, high-performance querying. This allows users to perform analytics on data stored in Data Lake or Synapse without worrying about performance or scalability.
DirectQuery and Composite Models in Power BI enable users to work with real-time data across different Fabric components without having to load data into Power BI itself, improving efficiency.
Collaboration and Sharing:

Power BI integrates deeply with Microsoft 365 tools, including Teams and SharePoint, facilitating collaboration and sharing of insights. This means that organizations using Microsoft Fabric can seamlessly share reports and dashboards within their organization or with external partners.
In the Fabric ecosystem, Power BI reports and dashboards can be embedded in other applications or accessed as part of a data-driven workflow, increasing accessibility and decision-making.
Data Governance and Security:

Power BI in the Fabric ecosystem benefits from Microsoft’s data governance and security models. Power BI integrates with Azure Active Directory (AAD), enabling fine-grained control over who can access and share reports, ensuring compliance and data security.
Additionally, Fabric's data lineage and data governance features ensure that the data flowing into Power BI reports is well-governed and traceable, providing confidence in the reports' integrity.
Power BI as a Service Layer:

With Power BI Premium and Power BI Embedded, organizations can scale Power BI reports to large numbers of users, and even embed Power BI visuals into their custom applications.
Fabric allows users to manage the entire data lifecycle—from ingestion, transformation, and storage to analysis and visualization—all within a single platform. Power BI acts as the interface through which business users can interact with this data, create reports, and make data-driven decisions.

Contributor guide

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First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

No file, test, or entry point is identified in the issue. Start by checking how this repository organizes its drawings or explanatory notes, then determine where this Power BI and Microsoft Fabric explanation belongs; done means the repository contains a clear, appropriate representation of the relationship described in the issue.

Written by the indexing model from the issue text.

Assessment

Tech stack
azure
Domain
documentation
Issue type
Documentation
Difficulty
3/5
Estimated time
1-2 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
30/100

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