文章標示:SSAS

Community and third-party tools for developing enterprise-level Power BI and Analysis Services models

Over the past few years, along with the high adoption rate of Power BI, also came the development of new tools by the Power BI community. Customers, partners, and individual users are contributing tools that improve the productivity of users creating models and reports in Power BI. It’s an evolution of a trend that started several years ago with tools that support developers using Analysis Services as a backend platform for their enterprise Business Intelligence solutions.

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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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Large models in Power BI Premium public preview

We are excited to announce the public preview of large models in Power BI Premium. This enables fast user interactivity over large datasets. Until now, dataset caches in Power BI Premium have been limited to 10 GB after compression. Large models remove this limitation, so dataset cache sizes are limited only by the Power BI Premium capacity size.

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What’s new for SQL Server 2019 Analysis Services RC1

We are excited to announce RC1 of SQL Server 2019 Analysis Services (SSAS 2019). The SSAS 2019 release is now feature complete! We may still make performance improvements for the RTM release. RC1 introduces the following features: Custom ordering of calculation items in calculation groups Query interleaving with short query bias for high concurrency workloads Online attach for optimized synchronization of read-only replicas SuperDAXMD for improved performance of Power BI reports over SSAS multidimensional Governance setting to control Power BI cache refreshes

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