Power BI Datamart – February 2023 Feature Summary
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Mar 1, 2023 2:00 AM

Power BI Datamart – February 2023 Feature Summary

External Blog Post

Welcome to the February 2023 updates on Power BI Datamarts. This month, we’ve added a variety of new features based on your votes on ideas.powerbi.com.

Back in May 2022, we launched Datamarts in Public Preview within Power BI Premium (and Premium Per User) that enable self-service users to securely collect, store, analyze, and share their data in a unified, low code, solution – delivering SQL and unified analytics – all in a web-based experience, for the first time.

Today, we are excited to share the list of features that we’ve shipped during the month of February 2023, including:

  • Manage default dataset
  • Visualize results
  • Keyboard shortcuts
  • Open with Azure Data Studio
  • Header updates – Sensitivity label

Power BI Datamart – February 2023 Feature Summary | Microsoft Power BI Blog | Microsoft Power BI

What is Power BI Datamart?

Power BI Datamart is a specialized data model that allows you to optimize the process of extracting and loading data from various sources into Power BI for reporting and analysis. The purpose of the datamart is to provide a single source of truth for data within an organization, enabling users to make data-driven decisions based on accurate and consistent information.

Power BI Datamart is designed to work with large datasets and complex data sources, providing a more efficient and streamlined approach to data management. With Power BI Datamart, you can combine data from different sources, transform and clean the data, and store it in a format that is optimized for reporting and analysis. This makes it easier for business users to access and analyze data, and to gain insights that can help inform their decision-making.

In summary, Power BI Datamart is a specialized data model that helps organizations to manage and analyze large and complex datasets more efficiently, by providing a single source of truth for data and optimizing the process of data extraction and loading.

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