Power BI

Discover the Super Filter, the latest custom visual for Power BI that’s packed with powerful features! 🌟 In this video, we explore how Super Filter takes slicing and filtering to the next lev…

A couple of weeks ago we had such an exciting week for Fabric during the Ignite Conference, filled with several product announcements and sneak previews of upcoming new features. Thanks to all of you who participated in the conference, either in person or by being part of the many virtual conversations through blogs, Community forums, … <p class="link-more"><a href="https://blog.fabric.microsoft.com/en-us/blog/data-factory-announcements-at-ignite-recap/" class="more-link">Continue reading<span class="screen-reader-text"> “Data Factory Announcements at Ignite 2024 Recap”</span></a>

In today’s data-driven world, quickly developing and deploying machine learning (ML) models is essential. Automated Machine Learning (AutoML) streamlines this process, enabling analysts, data scientists, and domain experts to leverage ML without extensive coding. Now, with the launch of low code AutoML in Fabric Data Science, ML is more accessible than ever, regardless of technical … <p class="link-more"><a href="https://blog.fabric.microsoft.com/en-us/blog/announcing-low-code-automated-ml-automl-in-fabric-data-science/" class="more-link">Continue reading<span class="screen-reader-text"> “Announcing low code Automated ML (AutoML) in Fabric Data Science”</span></a>

As part of our continuous effort to enhance the Fabric SQL experience, we’ve introduced several updates to improve both functionality and user experience. Here’s an overview of the latest features: What’s coming soon?  Public REST API to manually execute the synchronization process. Next Steps: Learn more about the synchronization process: SQL analytics endpoint performance considerations … <p class="link-more"><a href="https://blog.fabric.microsoft.com/en-us/blog/whats-new-in-the-fabric-sql-analytics-endpoint/" class="more-link">Continue reading<span class="screen-reader-text"> “What’s new in the Fabric SQL Analytics Endpoint?”</span></a>

off with their heads!

At Ignite this year (Nov 2024), Microsoft Fabric announced the public preview of SQL database in Fabric – Announcing SQL database in Microsoft Fabric Public Preview | Microsoft Fabric Blog | Microsoft Fabric. In this post, we will dive into the query editor in SQL database in Fabric, a powerful tool that is designed to … <p class="link-more"><a href="https://blog.fabric.microsoft.com/en-us/blog/tour-the-query-editor-in-sql-database-in-microsoft-fabric/" class="more-link">Continue reading<span class="screen-reader-text"> “Tour the Query Editor in SQL database in Microsoft Fabric”</span></a>

We believe that clear, up-to-date, and relevant information is essential to building a strong and confident relationship with all of you. That’s why we’re introducing our latest resource: the Core Visuals Vision Board.

The Core Visuals Vision Board is the newest resource from the Core Visuals Team for the Power BI community.

This is the November 2024 release of the on-premises data gateway.

The highly anticipated Python Notebook is now in preview! This new feature is designed to enhance the experience of BI Developers and Data Scientists working with smaller datasets using Python as their primary language. Key Features Getting Started Access the Notebook: You can access the Python Notebook from the Notebook language dropdown menu. Comprehensive Guide: … <p class="link-more"><a href="https://blog.fabric.microsoft.com/en-us/blog/python-notebook-public-preview/" class="more-link">Continue reading<span class="screen-reader-text"> “Announcing Python Notebook in Preview”</span></a>

Microsoft’s recent advancements in the Data & AI space, particularly with the introduction of SQL Database in Microsoft Fabric, have significantly lowered the barrier for developers to create innovative AI applications. These innovations bring AI closer to data, empowering every developer to build an AI app natively and in a more secure manner. Imagine you’re … <p class="link-more"><a href="https://blog.fabric.microsoft.com/en-us/blog/building-a-smart-chatbot-with-sql-database-in-microsoft-fabric-langchain-and-chainlit/" class="more-link">Continue reading<span class="screen-reader-text"> “Building a Smart Chatbot with SQL Database in Microsoft Fabric, LangChain and Chainlit”</span></a>

The blog post introduces the Metric Sets Public Preview, a feature designed to enhance metric management across organizations by providing a centralized, consistent, and trusted metric system. Key benefits include centralized metric management, enabling organizations to store and organize metrics in one place to avoid duplication and data silos; enhanced discoverability with intuitive search features; seamless integration with tools like Power BI and notebooks; rich visualization options for easier data consumption; and built-in security and governance for reliable metrics. Looking ahead, further enhancements are planned, including advanced integrations and a more robust desktop experience. Organizations are encouraged to try the feature to improve data quality and boost decision-making.

Review a reference table and scenarios to choose the most suitable data store for your Microsoft Fabric workloads, ensuring optimal performance.

It's the report not the semantic model

We’re excited to tell you more about org apps, now in public preview. Fabric org apps are Power BI workspace apps rebuilt for Fabric as a new item type. With org apps as items, you can create multiple org apps per workspace. And you work with org apps the way you would any other item type – from creating a new org app, saving changes, managing access, to sharing the org app – all the things you find familiar and easy about managing other items, such as reports, will be familiar with org apps as items.

Excel Mirroring in Fabric Guess what I did this weekend? I used the new feature in Fabric called Open mirroring to setup my own Excel Mirroring solution… | 21 comments on LinkedIn

This month, we’re pleased to highlight new security and IT governance capabilities available in public preview in Azure AI Foundry. These updates can help organizations build and scale GenAI solutions that are secure by default: Management center provides cross-functional teams with a simplified, centralized management and governance experience within the Azure AI Foundry portal, saving developers time and easing resource management, security, and compliance workflows. Allow select IP addresses to access Azure Machine Learning workspaces, for more granular control of your network security. AI Foundry support is coming soon. A new Azure AI Admin role applies a "least privilege" principle by default, helping organizations ensure system identities only have access to the minimum set of resources they need. A new identity-based option to access default storage via user credential passthrough provides IT admins with easier management experience and secure by default configurations. Additionally, we’re pleased to announce the general availability of connections in Azure AI Foundry, which allow users to access external data without copying it to a hub or project, for easier data sharing, management, and access control when building GenAI apps. Below, we share more information about these enterprise features and guidance to help you get started. Announcing Azure AI Foundry management center Different roles often need to complete administrative tasks to support AI projects, whether it’s setting up new resources, creating new data connections, or monitoring quota usage in production. Not all of these roles need (or want) the advanced controls of an IT admin and would prefer to get started quickly with streamlined, default settings. Management center, now available in Azure AI Foundry portal, provides cross-functional teams with simplified, centralized management and governance controls for GenAI applications. Now, AI development, operations, and compliance teams can easily create, manage, and audit their organization’s hubs, projects, and resources from within the Azure AI Foundry portal, reducing the need to visit Azure Portal or different areas of Azure AI Foundry portal for day-to-day administrative tasks. From management center, users get insight into key subscription details, such as access privileges, quota usage, and connected resources to help ensure projects are compliant. For deeper insights, like network configurations and latency, management center also provides IT admins with links out to relevant areas of Azure Portal. By bringing essential subscription information directly into Azure AI Foundry portal, management center saves organizations time and facilitates easier resource management, security, and compliance workflows across the AI development lifecycle. Learn more in our documentation. Monitor and track quota usage within a centralized management center Allow select IPs to access your workspaces or hubs Previously, Azure Machine Learning workspaces and Azure AI Foundry hubs provided two access control options: public or private. However, some enterprises cannot implement all private links due to security and management concerns, such as an inability to provide virtual private network (VPN) connections for everyone in their data science team, while also not wanting to use entirely public workspaces. Now, Azure Machine Learning and Azure AI Foundry customers will have a third option that allows for more fine-grained control: setting up rules that grant inbound access to their workspaces and hubs using specific IPs. In other words, IT admins can allowlist certain IPs to access a workspace or hub without creating an entirely public workspace or creating private endpoints with VPN or ExpressRoute connection. Each Azure AI hub supports up to 200 rules or IPs which grant access to specific internet-based services and on-premises networks to block general internet traffic. Enable from selected IPs is available now in Azure Machine Learning and is coming soon to Azure AI Foundry. Learn more in our documentation for Azure Machine Learning and Azure AI Foundry. Allow select IPs to access your workspace or hubs via Azure Portal New Azure AI Admin role As part of our commitment to enhancing customer security by default, we are introducing a new built-in role, "Azure AI Administrator," to provision workspace app access to all dependent resources at the resource group level. Previously, the generic "Contributor" role was used. Currently available in public preview, this new role follows the principle of "least privilege" by default, ensuring that system identities have access only to the minimal set of resources required. This approach significantly reduces the risk of breaches or unauthorized access in case of compromised credentials. Administrators now have the flexibility to apply the scope of this new role either at the default resource group level or at the individual resources level, thereby allowing for a more granular tightening of access. Learn more in our documentation. New identity-based access controls for default storage Many enterprises prefer to avoid credential-based access for their storage accounts due to security risks such as potential credential leaks and accidental granting of highly privileged access. Additionally, the maintenance concerns associated with the cumbersome process of periodic credential rotations can be challenging. To address these issues, default storage accounts in Azure Machine Learning and Azure AI Foundry now offer two access options: the existing credential-based method (using an account key or SAS token) and a new identity-based method (using user credential passthrough), currently available in public preview. With this update, IT administrators can leverage identity-based access to grant granular permissions at the user level, allowing for more precise control. Additionally, the new method simplifies the setup of secure configurations by default, reducing the IT overhead associated with credential maintenance. This helps ensure more secure and efficient management of access to storage accounts. Learn more in our documentation. Data and service connections in Azure AI Foundry Now generally available, connections in Azure AI Foundry allow you to create data and service references effortlessly. This enables seamless access to standalone AI services and multiple data sources without the need to duplicate the data within your project. Instead, the connection simply provides a reference to the service or data source. Key Advantages of Connections in Azure AI Foundry: Easier discovery of useful connections for team operations: Leverage simplified access to essential services and data sources, enhancing collaboration and productivity within your team. Simplified APIs: Utilize an easy-to-use API that seamlessly interacts with disparate storage types such as Microsoft OneLake, Azure Blob Storage, and Azure Data Lake Gen2 or various standalone Azure AI services including Azure Content Safety, Azure Speech, and Azure AI Search. Secure credential management: For credential-based access (service principal/SAS/API keys), Azure AI Foundry securely stores credential information in Azure Key Vault. This ensures that you won't need to include sensitive secrets in your scripts or code, thereby enhancing security and simplifying the management of credentials. Learn more in our documentation. Build secure, enterprise-ready GenAI apps with Azure AI Foundry Want to learn about more ways to build trustworthy AI applications? Here are other recent announcements to support your security and governance workflows: Unlock AI’s potential with next-gen security and governance capabilities New controls for model governance and secure access to on-premises or custom VNET resources 5 Ways to Implement Enterprise Security with Azure AI Whether you’re joining in person or online, we can’t wait to see you at Microsoft Ignite 2024! We’ll share the latest from Azure AI and go deeper into enterprise-grade security capabilities with these sessions: Trustworthy AI: Future trends and best practices Secure and govern custom AI built on Azure AI and Copilot Studio Build secure GenAI apps with Azure AI Foundry Secure your GenAI project in 15 minutes with Azure AI Foundry

Learn more on how Azure in helping to shape your future with Azure AI Foundry, your favorite developer tools, Azure app platform, and intelligent data.

Power Apps introduces the new 'Create a Formula' feature, making it easier than ever to build and edit Power Fx formulas. Plus, now you can explain partial formulas too!

At Microsoft Ignite 2024, Power Apps is unveiling powerful new ways to modernize business applications at scale in the era of AI. Learn more.

Introducing upcoming changes designed to enhance your navigation experience with Microsoft Fabric. These updates aim to simplify your workflow and make navigation more intuitive. What to Expect Based on extensive customer feedback and research, we’re refining how you open and interact with Fabric. Currently, users access various workloads—such as Power BI, Data Engineering, Data Warehouse, … <p class="link-more"><a href="https://blog.fabric.microsoft.com/en-us/blog/upcoming-changes-to-the-fabric-navigation-experience/" class="more-link">Continue reading<span class="screen-reader-text"> “Upcoming Changes to the Fabric Navigation Experience”</span></a>

Overview Workspace monitoring allows Fabric developers and admins to access detailed logs and performance metrics for their workspaces. This helps troubleshoot performance issues, investigate errors, optimize queries, and minimize data downtime. Workspace monitoring provides visibility into operations crucial for observing system health, resource optimization, and operational planning. Insights derived from this data can improve performance … <p class="link-more"><a href="https://blog.fabric.microsoft.com/en-us/blog/announcing-public-preview-of-workspace-monitoring/" class="more-link">Continue reading<span class="screen-reader-text"> “Announcing preview of Workspace Monitoring”</span></a>

We are delighted to share that CI/CD and GIT integration support for Dataflow Gen2 is now available in preview! With this new set of features, you can now seamlessly integrate your Dataflow with your existing CI/CD pipelines and version control of your workspace in Fabric. This integration allows for better collaboration, versioning, and automation of … <p class="link-more"><a href="https://blog.fabric.microsoft.com/en-us/blog/public-preview-of-rest-api-ci-cd-and-git-integration-support-for-dataflows-gen2/" class="more-link">Continue reading<span class="screen-reader-text"> “Dataflow Gen2 CI/CD and GIT source control integration are now in preview!”</span></a>

Learn how to deploy a new SQL database in Microsoft Fabric using REST API.

Learn how to create an AI skill that can answer questions about data.

In the mass of announcements made at Microsoft Ignite, I want to mention the SQL database in Fabric, which finally closes a gap we had in Power BI for many

Attention all #microsoftfabric & #powerbi developers and admins! Many new updates are now available in #semanticlinklabs version 0.8.6! Here are some of the…

Microsoft Ignite 2024 is currently taking place in Chicago from November 19th to 21st. As always, the Data and AI community is eagerly anticipating the latest announcements from Microsoft. With FabCon Europe having taken place less than two months ago, there was some scepticism about Microsoft’s ability to unveil any major new Fabric features. However, they still had a couple of aces up their sleeve, ready to be revealed at just the right moment.

Explore Microsoft Fabric announcements at Microsoft Ignite 2024, like Fabric Databases, OneLake catalog, Fabric Real-Time Intelligence general availability.