标记的帖子:Data Preparation

Creating Machine Learning models in Power BI

We’re excited to announce the preview of Automated Machine Learning (AutoML) for Dataflows in Power BI. AutoML enables business analysts to build machine learning models with clicks, not code, using just their Power BI skills. Power BI Dataflows offer a simple and powerful ETL tool that enables analysts to prepare data for further analytics. You … Continue reading “Creating Machine Learning models in Power BI”

» 阅读详细内容

Python visualizations in Power BI Service

With our February update of Power BI, you can now share, publish and view Python visuals in your reports and dashboards. This update extends the support for Python in the Power BI Desktop to the Power BI service. This ability completes the support for Python in Power BI, enabling you to use Python scripts to … Continue reading “Python visualizations in Power BI Service”

» 阅读详细内容

Introducing: Power BI data prep with dataflows

In the modern BI world, data preparation is considered the most difficult, expensive, and time-consuming task, estimated by experts as taking 60%-80% of the time and cost of a typical analytics project. Some of the challenges in those projects include fragmented and incomplete data, complex system integration, business data without any structural consistency, and of course, a high skillset barrier. Specialized expertise, typically reserved for data warehousing professionals, is often required. Such advanced skills are rare and expensive.

» 阅读详细内容