Microsoft Fabric - Boost your data analysis

What you need to know about Microsoft's all-in-one analytics platform

Microsoft Fabric has really shaken up the industry. Microsoft CEO Satya Nadella described his company's coup as “the biggest launch of a data product from Microsoft since the launch of SQL Server.” He wasn't exaggerating. We'll explain to you why Microsoft Fabric is also permanently changing your daily data analysis.

Because regardless of whether you are a data engineer, data analyst, data scientist or a business user: Microsoft Fabric brings you, your data team and all employees in your company even closer together when you work with your data. The key word is collaboration. Because it has never been so easy to collect all data in a single location, i.e. a single source of truth, and to obtain easy, above all intuitive, access to it. This article answers your most important questions about Microsoft Fabric and gives you a solid overview of the structure, functionality, and current developments.

What exactly is Microsoft Fabric?

In the official documentation It says: “Microsoft Fabric is an all-in-one analytics solution for companies that covers everything from data movement to data science, real-time analytics, and business intelligence.” All data and analysis products are combined in one product and one data lake: OneLake. Fabric is implemented as a SaaS service for all types of data, analytics, and BI functions, including: data integration, business intelligence, Synapse data engineering, data warehousing, data science, and real-time analytics. The platform offers comprehensive analytics capabilities designed for seamless collaboration. Each application is tailored to a specific persona and task.
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Why did Microsoft Fabric shake up the industry?

The enthusiasm that Fabric has sparked since its launch is still palpable — and has now been confirmed by productive use in numerous companies. The entire data journey, from data collection and storage to transformation and analysis, takes place on a single SaaS platform and based on the OneLake data lake. All users work on the same database and save their data sets as Parquet delta files, i.e. use the same data independently of each other for their respective tasks in the data journey, whether data engineer, data analyst or consumer of the reports. The application is intuitive. All employees of a company can not only be involved here, but also work collaboratively — without technical hurdles, without organizational dividing lines.

What is Microsoft Fabric built on?

Azure Synapse and Power BI are moving even closer together in Microsoft Fabric. Power BI users will quickly get used to Fabric. Because the SaaS foundation on which Fabric is built is the Power BI service. Fabric workspaces behave like Power BI workspaces, but with more types of items available. Navigation works just like it does in Power BI. With fabric elements and fabric workspaces, users can collaborate and share them just as they do with Power BI. New fabric workloads use Power BI Premium's capacity-based calculation model. Fabric management also works like Power BI management. The Fabric Management Portal is the evolution of the Power BI Management Portal.

Fabric workloads are the evolution of existing Azure data services. This includes the established PaaS services Azure Synapse, Azure Data Factory and Azure Data Explorer. They all now run on Fabric's common SaaS base. Users who are already familiar with these services will immediately get along well with the features in Fabric. Working with pipelines and notebooks or SQL and KQL queries works the same way in Fabric, just in a new context.

What is OneLake?

OneLake is a single, unified, logical data lake for the entire organization. It's reminiscent of OneDrive. OneLake is also automatically deployed with every Microsoft Fabric tenant and is designed to be the single location for all of a company's analytics data. Where data may have previously been moved back and forth using different services and using separate analysis tools, in Fabric it is all in OneLake. OneLake is the heart of Fabric, so to speak.

OneLake is built on ADLS Gen2. Users can save any file type and use the same APIs they use to connect to ADLS Gen2. All data can be used wherever and in what form it is needed. The data is only recorded and saved once. Users therefore access the central data, edit it in the warehouse with SQL, for example, or analyze it as a table data set in Power BI, while the changes to the data are saved as separate Parquet delta files during further processing. Storage and compute are separated. A huge advantage for Microsoft Fabric, as it increases the speed of further processing enormously and simplifies the handling of large data sets many times over, especially when we think of processing real-time data.

In addition, OneLake shortcuts make it possible to logically integrate external data sources such as Amazon S3 or Google Cloud without having to physically migrate them to OneLake. And with the mirroring feature, data from external databases such as Azure SQL, Cosmos DB, or Snowflake can be automatically mirrored into OneLake — always up to date and without manual data pipelines.

Can I use Microsoft Fabric for AI applications?

Fabric is fully connected to the Azure OpenAI service. With Copilot, users use their natural language to create data flows and data pipelines, code, or even generate entire functions. AI models can also be created or results visualized here. Copilot is now available in multiple fabric workloads and helps you create reports, troubleshoot notebooks, and generate DAX and SQL queries.

What is Direct Lake — and why is it a game changer?

Direct Lake is a storage mode for Power BI semantic models in Fabric. Instead of importing data or querying it live via DirectQuery, Direct Lake reads the Delta Parquet files directly from OneLake. The result: The performance of an import model combined with the timeliness of DirectQuery — without data copy processes and without the typical latency of queries. Direct Lake now also works with mirrored databases and SQL databases in Fabric and can be configured directly in Power BI Desktop.

Who can work with Microsoft Fabric?

Everyone. Data scientists, data engineers, BI experts, business users, you and me. Up to now, every user worked with their own tools and knowledge, each with their own strengths and weaknesses. As a result, most projects required considerable integration effort so that the output of the respective tools and the linking of results work across the entire value chain. Mistakes were inevitable here, in addition, enormous coordination processes were necessary and compromises had to be made.

In Microsoft Fabric, everyone works together on a single database. Each user uses data sets for their own purposes and combines them with attributes that are important for their respective context. They all work natively with the same data in OneLake. This creates added value, because no one has to deal with creating integrations anymore so that different tools can work together. Every user, every team can create their own workspaces and share them with others as needed. Data from one work area can be integrated into the other and vice versa. Data is simply stored once in OneLake and can be used as often as desired in the further analytics process without duplication.

What has happened since the launch?

Since general availability, Microsoft Fabric has continued to mature. An overview of some of the most important new features:

• Direct Lake Mode: A new storage mode that combines the performance of import models with the timeliness of DirectQuery — directly from OneLake, without data copies.
• Mirroring: Automatic mirroring of external databases (Azure SQL, Cosmos DB, Snowflake, etc.) to OneLake, without manual pipelines.
• Fabric Databases: Native database support right in Fabric, making it easy for teams with an SQL background to get started.
• Copilot integration: AI-powered support across multiple workloads — from report generation in Power BI to code generation in notebooks.
• Data Activator: Event-based automation that reacts to data changes and triggers actions.
• Infrastructure and capacity planning: A transparent, capacity-based pricing model (capacity units) that bills all workloads across a shared pool of resources.
• Governance and security: Deeper integration with Microsoft Purview for end-to-end data governance, lineage, and compliance.

Do I need Microsoft Fabric?

The hype was justified — and was confirmed. For years, users have been demanding just such a platform that can map a seamless data journey, from data integration to dashboarding. Microsoft Fabric delivers just that from a single source. A third party provider is no longer necessary.

Our advice: Use the name Fabric as a guide. Do you need a huge factory for your pipelines or is it enough to be a factory? Check whether the technological offering makes sense for your use case. Start with the basics, test the platform and scale gradually. Fabric has established itself as a game changer—and Microsoft is continuing to develop the platform at an impressive pace. Anyone who starts today is investing in a future-proof data infrastructure.