• Microsoft Power BI

All tools in Microsoft Fabric

Microsoft Fabric was created to integrate the entire data ecosystem into a single platform. It is a comprehensive SaaS (Software as a Service) analytics solution that enables organizations to execute the full data lifecycle — from data integration, through transformation and processing, to reporting and real-time analytics.

How does Microsoft Fabric work?

 

Microsoft Fabric is designed as a single, unified environment for end-to-end data work — from data integration, through transformation and analytics, to reporting and AI usage.

 

One environment for the entire data lifecycle

In traditional analytics environments, organizations often use multiple separate tools for data integration, data warehousing, and reporting. Microsoft Fabric solves this problem by combining all key services into one platform. Thanks to this, teams can work within a single ecosystem without switching between different tools or managing multiple data environments.

 

End-to-end analytics in practice

One of the biggest advantages of the platform is the end-to-end analytics approach. This means the entire analytics process can be executed within Microsoft Fabric. A typical workflow may include:

  • ingesting data using Data Factory,
  • transforming data in Data Engineering,
  • storing data in OneLake,
  • analyzing data in Data Warehouse,
  • visualizing data in Power BI. Such an approach significantly simplifies data architecture and accelerates Business Intelligence projects.

 

Eliminating the need to copy data between services

In many organizations, data is copied between warehouses, lakehouses, and reporting tools, generating additional costs and the risk of inconsistencies. Microsoft Fabric uses a zero-copy architecture, enabling workloads to access the same data without moving or duplicating it. This is especially important for organizations processing large volumes of data and building modern cloud-based data platforms.

 

Workload integration within a single ecosystem

All Microsoft Fabric workloads are designed to work together within one environment. This enables:

  • a Data Engineer to prepare data for the BI team,
  • a Data Scientist to use the same data to build ML models,
  • a Business Analyst to immediately analyze data in Power BI,
  • administrators to centrally manage governance and security.

 

Key capabilities of Microsoft Fabric

Microsoft Fabric offers a set of features that allow organizations to build a modern and scalable analytics environment.

 

Role-specific workloads

Microsoft Fabric provides workloads tailored to specific business and technical roles. The platform supports:

  • Data Engineers responsible for data integration and transformation,
  • Data Scientists building Machine Learning models,
  • Business Analysts analyzing business data,
  • Database Administrators managing databases and governance. Each role receives dedicated tools suited to daily work, while all workloads operate within a single Microsoft Fabric environment. This approach allows organizations to:
  • simplify team collaboration,
  • reduce data silos,
  • accelerate information exchange,
  • build complete end-to-end analytics solutions.

 

OneLake – central data storage

OneLake is the central storage layer in Microsoft Fabric, acting as a single logical Data Lake for the entire organization. Its architecture is based on Azure Data Lake Storage Gen2, ensuring high scalability and performance when working with large data volumes. Key benefits include:

  • elimination of data silos,
  • centralized storage,
  • data sharing across workloads,
  • simplified data environment management. Microsoft Fabric also uses a zero-copy access mechanism, which allows access to the same data without duplication.\

 

OneLake Catalog

OneLake Catalog is responsible for centralized management of data artifacts. It enables users to:

  • discover available data,
  • search reports and models,
  • analyze data lineage,
  • manage governance and compliance. It also supports:
  • access control,
  • data security,
  • usage monitoring,
  • compliance management. This is particularly important for organizations operating in regulated environments or handling sensitive data.

 

Copilot in Microsoft Fabric

Microsoft Fabric includes a built-in Copilot powered by AI to support users in working with data. Copilot helps with:

  • query generation,
  • pipeline creation,
  • code generation,
  • data analysis,
  • insight generation,
  • summary creation. By leveraging AI, organizations can significantly reduce analytics delivery time and increase productivity of BI and Data Engineering teams.

 

Microsoft 365 Integration

Microsoft Fabric integrates with Microsoft 365 applications, improving business collaboration. It works with:

  • Excel,
  • Microsoft Teams,
  • other Microsoft 365 services. This enables users to:
  • analyze data directly in Excel,
  • share reports in Teams,
  • collaborate on dashboards,
  • make faster business decisions.

 

Microsoft Foundry Integration

Microsoft Fabric also integrates with Microsoft Foundry, supporting AI and Machine Learning initiatives. This integration enables:

  • use of pre-built AI models,
  • Machine Learning development,
  • model deployment,
  • predictive analytics scenarios. It allows organizations to move from descriptive analytics to advanced predictive analytics.

Unified data management and governance

Microsoft Fabric provides centralized data management and governance across the environment. It uses mechanisms based on Microsoft Purview, supporting:

  • access management,
  • sensitivity labels,
  • compliance,
  • auditing,
  • security monitoring. This helps organizations build modern data environments aligned with security and regulatory requirements.

 

All Microsoft Fabric components

Microsoft Fabric consists of multiple workloads and components that together form a comprehensive analytics platform.

 

Power BI

Power BI is responsible for reporting and data visualization. Users can:

  • create interactive reports,
  • build dashboards,
  • analyze business data,
  • share insights across the organization. It also supports self-service BI, allowing business users to analyze data independently.

 

Databases

Microsoft Fabric also provides modern transactional databases. The platform supports:

  • SQL Database in Microsoft Fabric,
  • data mirroring,
  • integration of data from multiple environments. It allows integration with:
  • Azure SQL Database,
  • Azure Cosmos DB,
  • Snowflake,
  • Azure Databricks. This enables centralization of operational and analytical data.

 

Data Factory

Data Factory is responsible for data integration and transformation. It enables:

  • building ETL and ELT pipelines,
  • integrating data from various sources,
  • automation of data processes,
  • use of Power Query. Microsoft Fabric supports over 200 data connectors, covering both on-premises and cloud environments.

 

Industry Solutions

Microsoft Fabric also offers Industry Solutions, which are prebuilt industry-specific solutions. These cover scenarios such as:

  • finance,
  • retail,
  • manufacturing,
  • They help organizations accelerate analytics adoption.

 

Real-Time Intelligence

Real-Time Intelligence enables real-time data analysis. The platform supports:

  • streaming data,
  • IoT monitoring,
  • event analytics,
  • in-motion data processing. A key component is the Real-Time Hub, which centralizes streaming data management.

 

Data Engineering

Data Engineering in Microsoft Fabric uses Apache Spark for large-scale data processing. It supports:

  • notebooks,
  • data transformations,
  • Spark jobs,
  • This is essential for building modern data platforms and lakehouses.

 

Fabric Data Science

Fabric Data Science enables building and deploying Machine Learning models. It integrates with Azure Machine Learning and supports:

  • experiment tracking,
  • model registry,
  • predictive analytics,
  • AI adoption in organizations. It allows enriching BI reports with predictions.

 

Fabric Data Warehouse

Fabric Data Warehouse is a modern SQL-based data warehouse. Key capabilities include:

  • high performance,
  • independent scaling of compute and storage,
  • Delta Lake support,
  • advanced analytics. It enables scalable reporting and analytics environments.

 

Fabric IQ (Preview)

Fabric IQ is a new workload supporting unified business semantics. It includes:

  • Fabric Graph,
  • semantic models,
  • data agents,
  • operations agents,
  • context-aware automation. It is designed to help build more intelligent analytics environments.

 

Summary

Microsoft Fabric is a modern analytics platform that integrates all key data capabilities into a single environment. It supports organizations in building a data-driven company, enabling faster analytics, process automation, and more effective use of AI. If you want to see how Microsoft Fabric can improve analytics in your organization, contact the EBIS team.

 

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