Microsoft Power BI-blogg

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Announcing automatic scaling for dataset scale-out public preview

We’re excited to announce that we’ve reached the final milestone in our dataset scale-out public preview journey! We started the preview without auto-sync and with single read-only replica per dataset. A few months ago, we introduced auto-sync, and now Power BI can create as many read-only replicas as your Power BI capacity supports. Dataset scale-out is no longer limited to a single read-only replica per dataset.

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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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Announcing general availability of backup and restore for Power BI datasets

We are very thrilled to announce the general availability (GA) of Backup and Restore for datasets in Power BI Premium and Premium per User (PPU). Whether you are migrating Azure AS workloads to Power BI or must consolidate Power BI tenants due to a merger or acquisition or simply want to backup Power BI datasets on a regular basis to meet the data retention and disaster recovery requirements of your organization, you can now rely on the Backup and Restore capabilities of Power BI as a fully supported feature.

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Moving on-premises AS and RS BI solutions to Azure – and closer to Power BI

With the availability of virtual machine images for SQL Server Analysis Services (SSAS) and SQL Server Reporting Services (SSRS) in Azure Marketplace, you can now more easily migrate your AS and RS BI solutions from on-premises to Azure! This is a great opportunity to move your multidimensional workloads closer to Power BI to reduce the physical distance between your AS servers and your Power BI reports. For the same reasons, it’s also a good idea to deploy Azure VMs running SSRS in the same region as your SSAS VMs, or to migrate your paginated reports to Power BI so that your reports have the most efficient connectivity to their data models.

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