Deployment pipelines – A customized pipeline is finally here!
You asked, we deliver! The option to create a customized pipeline of 2-10 stages is now available. Check it out!
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Now on Deployment Pipelines: View item’s code changes before deploying it
The new feature of Deployment pipelines, Change review, completes the missing piece of the Compare action, by allowing you to review the schema of a changed item while its changed lines are highlighted. Check it out!
» 阅读更多内容Deployment pipelines – announcing ‘Deployment History’ feature and ‘Azure DevOps extension’ GA
A new feature for Deployment pipelines, Deployment History, allows you to review details of all your recent months deployments – who, what and when. Check it out! Also, download our Azure DevOps extension now having general availability, and be aware our UpdateApp API now excludes adding new items to Apps.
» 阅读更多内容Deployment pipelines- Azure DevOps extension, multiple pipelines working together, Dataflows GA
This month we have released highly-anticipated features for deployment pipelines: Azure DevOps extension, to automate your deployments and pipeline creation using Tasks in your Azure pipeline. Multiple pipelines working together, to sync the connections between items managed in different pipelines. Dataflows GA and support for linked entities
» 阅读更多内容Enabling intelligent experiences with Power BI for developers, data scientists, and data engineers
Since our launch over five years ago, Microsoft Power BI has been enthusiastically adopted by developers across the spectrum. Today we have over three million active developers on Power BI—who harness the power of data, provide actionable insights, and deliver cloud-native intelligent experiences. Today, over 15,000 independent software vendors (ISVs) and enterprise customers use Power BI’s embedded APIs to build analytic experiences into their applications. At Microsoft Build, we are delighted to celebrate our developers and share some exciting updates for our next generation of developer experiences.
» 阅读更多内容Automate deployments with deployment pipelines API (preview)
Deployment pipelines can be automated! With the first set of APIs, you can automate deployments or integrate the deployment process into familiar tools, like Azure Pipelines or GitHub Actions.
» 阅读更多内容Power BI April 2021 Feature Summary
Welcome to the first Power BI feature summary of the Spring! In this update we have an exciting new preview for the Power Automate visual! Also, the ongoing previews (Small Multiples and DirectQuery for Power BI datasets and Azure Analysis Services) are getting some new features. Next to that, we are presenting huge improvements to the shapes in Power BI Desktop and we are introducing a new, easier, way to share reports. To top it off, enhancements to Sensitivity Labels provide for even better protection of your data. Of course, there is much more, so read on!
» 阅读更多内容Announcing new deployment pipelines capabilities
Deployment pipelines, Power Bi Premium tool to manage content through its lifecycle, has released many new capabilities, including support paginated reports, sensitivity labels and more.
» 阅读更多内容Enhance deployment pipelines creation with Premium per user license
The new ‘Premium per user’ license enables more BI creators to start working with deployment pipelines, and it’s never been easier! Read more to learn how can you use the new license with deployment pipelines.
» 阅读更多内容Power BI September 2020 Feature Summary
Starting this month, we have merged the Power BI Desktop, Service and Mobile blogs so there is one overview of everything that is new in this month. For now, let us get started because we have exciting updates this month! Amongst others, in the analytics area, we introduce a preview of the Smart narratives visual which helps you quickly summarize visuals and reports by providing relevant out-of-the-box insights which is customizable. On the reporting side, several things are added, including the introduction of controls for the z-order of visuals, and searching for a workspace during publish. For modeling, the enhanced dataset metadata that was previously in preview is now generally available. In the service, we introduce new capabilities in the lineage view and updates to analyze in Excel. Check out the full blog to learn more about all the updates and enhancements.
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