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  1. Use this technological advantage to optimize your processes. We combine artificial intelligence and process mining with Power BI

    • Power BI Integration

      Integration of Process Mining

      directly into Microsoft Power BI.

    • About Us

      We’re crazy about processes

      and their optimization.

    • Our Approach

      Why we integrate process mining

      into business intelligence.

    • Benefits

      Process mining combines business

      analysis and process optimization.

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      • Fabric is an all-in-one data analytics solution that covers everything from data movement to data science, real-time analytics, and business intelligence. Fabric consolidates several Azure data workloads with Power BI so that you and your colleagues can all work with different workloads, and in different roles, in the same environment.
      learn.microsoft.com/en-us/power-bi/fundamentals/fabric-power-bi
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  2. Aug 7, 2024 · How Microsoft Fabric works with Power BI. Microsoft Fabric is an offering that combines data, roles, and workloads in a unified environment. Power BI is an example of one of the workloads integrated with Microsoft Fabric. Each Fabric tenant has a single data store called OneLake.

    • Overview
    • Prerequisites
    • Create a lakehouse to store data
    • Prepare and load data into your lakehouse
    • Create a semantic model in the Lakehouse
    • Autocreate a report
    • Related content

    In this tutorial, you learn how to use Dataflows Gen2 and Pipelines to ingest data into a Lakehouse and create a dimensional model. You also learn how to generate a beautiful report automatically to display the latest sales figures from start to finish in just 45 minutes.

    Let’s get started!

    •Prepare and load data into a lakehouse

    •Build a dimensional model in a lakehouse

    •Before you start, if you haven't enabled Fabric yet, enable Fabric for your organization

    •If you aren't signed up yet, sign up for a free trial.

    •Create a new workspace and assign a Fabric capacity.

    •An existing workspace can also be used, although we recommend using a nonproduction workspace for simplicity of the tutorial.

    We start by creating a lakehouse to store our data, Dataflows Gen2 to prepare and transform columns, and a pipeline to handle the orchestration of a scheduled refresh and e-mail activity.

    1.Navigate to your workspace and select New. Then select Show all.

    2.In the New item creation screen, select Lakehouse under the Data engineering category.

    3.Set the Lakehouse name to SalesLakehouse. Then select Create.

    Take the following steps to load data into your lakehouse:

    1.Once you're in the Power Query Online editor for Dataflows Gen2, select Import from a Power Query template and choose the template file downloaded from the prerequisites.

    2.Select the DimDate query under the Data load query group and then select on Configure connection. If necessary, set the authentication type to Anonymous before selecting Connect.

    3.With the DimDate query selected, in the data preview window, change the data type of the DateKey column to Date/Time by selecting the icon in the top left.

    The data you loaded is almost ready for reporting. Let’s first use the SQL endpoint to create relationships and SQL views in our lakehouse. This allows us to easily access our data within a semantic model, which is a metadata model that contains physical database objects that are abstracted and modified into logical dimensions. It's designed to pre...

    Now that you’ve modeled your data, it's time to visualize and explore your data using quick create.

    1.In the workspace view, hover above the item type Dataset (default) and item name SalesLakehouse. Select the ellipses ( … ) and choose Auto-create report.

    A report is automatically generated for you and dynamically updates based upon column selections in the Your data pane.

    •The displayed report may differ from the image below.

    2.Select Save from the ribbon to save a copy to the current workspace

    •To enter the complete visual authoring experience, you can select Edit on the ribbon.

    Congratulations on completing the tutorial! If you created a workspace for the tutorial, you can choose to delete it now. Alternatively, you can remove the individual items that were created during the tutorial.

    We hope this tutorial has shown how Power BI users can easily provide insights into data at any level of scale with Microsoft Fabric.

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  3. May 23, 2023 · Today, we are excited to unveil Microsoft Fabric and Copilot in Microsoft Power BI. Fabric, now in preview, is an end-to-end, human-centered analytics product that brings together all an organization’s data and analytics in one place.

    • Kim Manis
  4. May 31, 2023 · With the release of Microsoft Fabric, ISVs and application developers using Power BI embedded can now leverage new capabilities of Microsoft Fabric, all while maintaining their Power BI embedded solutions and using the Power BI REST APIs.

  5. Join us as we unveil the latest announcements for Power BI in Microsoft Fabric. Explore how Copilot's advanced AI capabilities are transforming data analytics by automating report creation, generating intelligent insights, and enhancing data visualization. Discover how Power BI seamlessly integrates to enable smooth data flow and enhance collaboration. We'll also share real-world success ...

  6. Nov 17, 2023 · Microsoft Fabric adoption. Successful adoption of analytical tools like Fabric involves making effective processes, support, tools, and data available and integrated into regular ongoing patterns of usage for content creators, consumers, and stakeholders in the organization. Important.

  7. May 29, 2023 · Super User. 611 Views. In this video, we delve into the world of Microsoft Fabric through the lens of Power BI and SQL developers. Microsoft Fabric offers a powerful set of tools and capabilities that can revolutionize the way developers work with data.

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