Over the last few months, the Power BI extensibility team has been actively listening to you, and we’ve redesigned our developer experience based on your feedback. Today we’re happy to announce general availability of our new custom visual developer tool.
» อ่านเพิ่มเติมThe dataset API was the first REST API that we ever released for Power BI. It allowed a developer to programmatically create a simple dataset and then push data directly to a table within that dataset. Today, we are pleased to announce the preview of two new features that will enhance the way that data can be pushed to Power BI.
» อ่านเพิ่มเติมToday we are excited to announce the Power BI Embedded accelerator offer for Independent Software Vendors (ISVs). Power BI Embedded is an Azure service that enables ISV/application developers to embed compelling, fully interactive reports without the time and expense of having to build their own controls from the ground up.
» อ่านเพิ่มเติมIt has been a few months now since Power BI Embedded was introduced and released into public preview. Today, we are happy to announce the general availability of the Power BI Embedded services in 9 different regions around the globe.
» อ่านเพิ่มเติมToday it’s my pleasure to announce the upcoming General Availability of Microsoft Power BI Embedded. Power BI Embedded is a globally available, cloud-scale service that gives ISVs the ability to create, deploy, and manage data-rich applications with ease. By leveraging Microsoft Power BI, ISVs can bring compelling and interactive data visualizations to their customers.
» อ่านเพิ่มเติมThe new Pulse Chart custom visual for Power BI helps you tell data stories and engage your audience. It lets you highlight key events and show how those relate to trends you see in the data.
» อ่านเพิ่มเติมThe Microsoft Ignite 2016 Session Catalog is now live—with more than 440 sessions to choose from. Check out a sample of the Power BI topics you’ll find.
» อ่านเพิ่มเติมThere has been a lot of interest in the analytics community to be able to visualize the output of an Azure Machine Learning model inside Power BI. To add to the challenge, it would also be great to operationalize Azure ML models through the Power BI service. Imagine you could have Power BI regularly bringing in the latest output of your fraud model or the sentiment for recent Tweets about your products. The following tutorial will outline a proposed approach for doing just that.
» อ่านเพิ่มเติมIn this week’s Tech Tip Thursday, our own Guy in a Cube talks to developers about how they can test their Power BI deployment in a custom directory before rolling changes out to production. He goes over the four steps needed, from creating the custom directory to adding the user to creating custom settings for your application.
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