What is Microsoft Fabric?

Logo Microsoft Fabric

 

Microsoft Fabric is an all-in-one, AI-powered platform that unifies data integration, data engineering, data science, real-time analytics, and business intelligence into a single, seamless solution.

This end-to-end platform provides data integration, data engineering, data warehousing, data science, real-time analytics, and business intelligence – all hosted on a data lake-centric SaaS solution.

What are the benefits of Microsoft Fabric?

With Fabric, businesses don't need to combine different services from various providers. Instead, they can use an integrated, user-friendly, and data lake-centric end-to-end product to solve all data-related challenges on a unified platform.

As the platform is based on Software-as-a-Service (SaaS), simplicity and integration are guaranteed at the highest level:

  • A comprehensive set of deeply integrated analytics capabilities.
  • A unified data lake serving as a central hub for various analytics frontends.
  • Centralized management and governance across all environments.
  • Easier access to all resources and seamless reusability.

What are the components of Microsoft Fabric?

Microsoft Fabric Überblick

Microsoft Fabric integrates technologies such as Azure Data Factory, Azure Synapse Analytics, and Power BI into a single, unified product that empowers both data and business experts to unlock the potential of their data and lay the foundation for the era of AI.

The individual components are presented in the user interface for various end-to-end scenarios without the need to assemble and configure different services. This allows different users within the organization to interact with data in their familiar ways.

  • One Lake

    is the central data storage location of Microsoft Fabric, based on Azure Data Lake Storage Gen2 technology. The data in One Lake is stored in the open standard Delta format, allowing any tool that can read and write Delta format to utilize the data within Fabric.

  • Power BI

    is a data visualization tool for exploratory and interactive data analysis. It offers a user-friendly interface for creating and consuming graphical and tabular reports. With the help of AI and Copilot, insights and trends can be generated from enterprise data.

  • Data Factory

    is an Azure-based data integration service that enables capturing, extracting, transforming, and loading (ETL/ELT) data in a no/low-code approach. By using data pipelines, data can be loaded into the Data Lake or Data Warehouse in a user-friendly and automated manner.

  • Data Engineering

    is the next-generation technology based on Azure Synapse for transforming and cleansing large volumes of data using Spark, notebooks, or SQL scripts.

  • Data Warehouse

    allows storing large amounts of structured or semi-structured data in a relational database and retrieving it using familiar SQL queries.

  • Data Science

    is a machine learning and advanced analytics environment based on Azure Synapse for creating and deploying AI models using notebooks or the designer.

  • Real-Time Analytics

    enables monitoring and analyzing data in real-time, regardless of the source, whether it's from IT systems, IoT devices, or other data sources.

  • Data Activator

    allows monitoring data in a no-code manner and triggering actions when predefined conditions are met. For example, email alerts or Teams notifications can be sent when sales data in a Power BI report falls below a threshold or when the temperature of a machine exceeds a certain level.

Video

  • Introduction to Microsoft Fabric

Get started with Microsoft Fabric

Are you ready to embark on a journey into a new era of data analysis? Sign up today for a 60-day free trial here and start exploring the features and capabilities of Fabric.

End-to-end tutorials are available to guide you through the development process with Fabric, including:

  • Creating a Fabric workspace
  • Connecting to data sources
  • Performing data engineering tasks
  • Creating data pipelines
  • Applying data science techniques
  • Analyzing data in real-time
  • Creating interactive dashboards and reports

If you have any questions or need expert assistance in building your data environment, getting acquainted with Microsoft Fabric, and implementing your data analysis requirements, contact us.