Публикации автора: Kay Unkroth

Power BI paves the way for smooth Azure Analysis Services migrations

We are committed to helping our Azure Analysis Services customers unlock the enormous capabilities of Power BI as a superset of Azure Analysis Services through a smooth migration path to Power BI. As part of this effort, we are happy to announce today that Power BI has reached yet another compatibility milestone with the introduction of explicit Dataset Write permissions.

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Unlocking new self-service BI scenarios with ExecuteQueries support in Power Automate

As part of our GA work for the ExecuteQueries REST API, we delivered a new Power Automate action to run queries against Power BI datasets. This action delivers a straightforward low-code/no-code experience to BI users who want to streamline repetitive, mundane tasks and processes. The purpose of this blog post is to help you get started running queries against datasets in Power Automate. It covers exporting data into csv files, building a solution to test datasets, and creating BI-driven cloud flows.

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Announcing general availability of the ExecuteQueries REST API

We are happy to announce that the ExecuteQueries REST API is now GA. By using this REST API, you can query datasets in Power BI from practically any modern environment on any platform, as long as you can authenticate with Azure Active Directory (AAD) and construct a Web request. The query functionality is comparable to XMLA read access, yet avoids dependencies on Analysis Services client libraries, requires no connection to XMLA endpoints, and works in Premium workspaces as well as in ordinary workspaces.

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Announcing general availability of automatic aggregations

Today, we are excited to announce General Availability (GA) of automatic aggregations, along with several important improvements. By using automatic aggregations in Power BI Premium, you can unlock cloud-scale data volumes for interactive analysis. Automatic aggregations import data into the dataset only at the aggregated level while leaving the detail data at the source to minimize data duplication. In this way, most BI queries can benefit from Power BI’s blazing fast query performance in import mode, while occasional detail queries can still work transparently against the data source in DirectQuery mode.

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Announcing Public Preview of Hybrid Tables in Power BI Premium

We are excited to announce support for Hybrid Tables and Incremental refresh with real-time data in Power BI Premium to strike the right balance between query performance and data freshness. Now you can have blazing fast performance in import mode and the latest data changes in the data warehouse reflected in user reports without having to perform a dataset refresh.

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Power BI bolsters Azure AS compatibility with EffectiveUserName support

We are announcing support for user impersonation using the EffectiveUserName connection-string property. This is truly exciting because it opens the door for mass migrations of tabular Analysis Services solutions that rely on EffectiveUserName-based impersonation to Power BI. It also opens new options for administrative tools and scripts to connect to datasets on Power BI Premium using different user identities! Impersonating another user can be as easy as specifying that user’s UPN on the connection string.

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New authentication option facilitates AAS migrations to Power BI Premium at a low price point

We are excited to announce that XMLA endpoints on Premium Per User (PPU) now support Azure Active Directory (AAD) authentication with service principals. This authentication option enables administrative applications to perform automated maintenance tasks and unattended service-level operations by using their own app identities, which is often a requirement for migration of existing tabular data models from Azure Analysis Services and SQL Server Analysis Services to Power BI Premium. For technical details, see the article Automate Premium workspace and dataset tasks with service principals in the product documentation.

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Announcing the public preview of Power BI REST API support for DAX Queries

We are very excited to announce the public preview of a new REST API to query datasets in Power BI by using Data Analysis Expressions (DAX). Among other things, this new DAX REST API helps to address customer feedback concerning programmatic access to the data in a dataset (for example, the idea REST API access to READ datasets with almost 500 votes by the time of this announcement). The new DAX REST API avoids dependencies on Analysis Services client libraries, requires no connection to XMLA endpoints, and works in Power BI Premium as well as in Power BI shared capacity

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