![]() ![]() ![]() ![]() This integration between work philosophies, and hence on the underlying technologies (multidimensional and relational), results in an architecture distributed in three layers, as we see in the following image, with response capacity to users with very different needs in all concerning tasks related to data analysis. Similarly, when we update an UDM project to SQL Server 2012, it will be deemed as a BISM project for all purposes. Therefore, from now on, the term UDM is replaced for BISM, when we mention the development model used by Analysis Services. A single model for all analytical needsīISM becomes the new model for the development of BI solutions that fulfills the analysis requirements of all kind users.īISM represents an evolution from Unified Dimensional Model (UDM) towards a combined model that offers all UDM multidimensional development features plus new features based on a relational analysis engine, what enrich the current SQL Server offer in the analytical services area. However, since the first public announcements about BISM so far, new details have been revealed about the architecture of this technology, allowing us to be more precise in the descriptions of it.īISM. In this article we’ll focus on development of analytical tabular models, an integral part of Business Intelligence Semantic Model (BISM), the new paradigm for developing Business Intelligence (BI) solutions based on SQL Server 2012 Analysis Services.Īs was already mentioned in the introductory article about PowerPivot, the incorporation of BISM into Analysis Services makes SQL Server one of the most powerful solutions within the current BI arena. *I wouldn’t be surprised if one of the main announcements at Data Insights Summit is the ability to import a Power BI Desktop model to SSAS 2017 as a 1400 CL model.The recent SQL Server 2012 release (formerly codenamed Denali) is accompanied, as usual in any new version, for several interesting improvements. Tabular DirectQuery and investments in Power BI flow to Tabular. There are no signs that Multidimensional will be deprecated but the main conversation is now Tabular Import vs. At this point, even if a project requires or benefits from the few features exclusive to Multidimensional mode such as Writeback or Unary operators I would generally look to work around and offset this given the many other advantages of Tabular such as M expressions and TMSL.įurther, even if a fairly rich multidimensional model is in production and is highly utilized, I would still evaluate developing a Tabular model to migrate to over time. SSAS Tabular 2017 adds drillthrough and ragged hierarchy support among other features that further close remaining gaps with Multidimensional. SSAS Tabular vs Multidimensional Feature Matrix The following feature matrix document has been updated to include SSAS Tabular 2017 features through CTP 2.1: The main takeaways with several slides and this document was A) Tabular is now (2016, 1200 CL) ready to handle projects of high scale and complexity and B) given the roadmap, Power BI, and Azure Analysis Services there are other longer term advantages to choosing Tabular for almost all new projects. On Slide #10 of this document there’s a Word document (top right) that contains a feature matrix – the rows representing Multidimensional features and the columns representing versions of Tabular since SSAS 2012 (1100 CL). SSAS Tabular 2016 SQL Saturday 575 Presentation (12-10-2016) My slides from this presentation are available here: One of the main themes from my SQL Saturday presentation in December was the ongoing enhancements to SSAS Tabular and how this impacts the decision to use Tabular or Multidimensional. ![]()
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