Ms Sql Business Intelligence Advancement Workshop – In case your organization needs to plan BI implementation or upgrade, you can use the BI Solutions Builder tool at www.bisolutionbuilder.com. This tool allows you to understand what products you need in addition to the existing products in the organization to obtain the desired BI solution.
In the first step, you need to select the products you already purchased (for example, in the screenshot below there are SharePoint 2010 Enterprise and Office 2007 Professional without Enterprise contract).
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In the second step, you need to choose the desired capabilities from the list: Predictive Analytics, In-Memory BI, Self-Service BI – End User Analytics, Self-Service BI – Governance and Control, Geospatial Data Visualization, Big Data Analytics, Dashboards, and control panels. , eDiscovery capability, collaboration, cloud-based reporting services, cloud-based data synchronization, Hadoop integration, cloud storage, data warehousing, analytics services: OLAP, Power View visualization , data-driven diagrams, BI modeling and development, operational reporting, mobile BI.
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In the third step, you will get a report with the products you currently own, preferred capabilities, upgrade paths with the products and capabilities obtained, resources related to the preferred BI capabilities, information about Microsoft devices, and specific resources. your industry, use cases and BI tools.
Advanced Analytics Architecture Planning Artificial Intelligence Azure Azure Data Factory Azure Machine Learning Azure Stream Analytics Banking Big Data Business Intelligence CEP CFO Cognitive Services Cortana Intelligence Suite Customer Analytics Data Lake Data Warehouse DWH Economics Education Excel Expense Finance Government Hadoop HDInsight Hive In-Memory Machine Learning Mahoot Microsoft BI Microsoft R Mobile Devices NoSQL Oil & Gas PerformancePoint Services Power BI Power Query Power View Reporting Services Retail SharePoint Insights Spark SQL Server VisionFor several years, Visual Studio has been my tool of choice for designing semantic data models used for Business Intelligent reporting. . In 2005, I used the Visual Studio Business Intelligence Development Studio (BIDS) plugin for SSIS, SSRS, and SSAS projects to develop BI solutions with multidimensional cubes. In 2012, when Microsoft began the transition from on-disk cubes to in-memory SSAS tabular models, I used SQL Server Data Tools (SSDT) to create tabular models. At first it was a rocky road. The Tabular designer was fragile, to put it mildly.
Enter Power BI… Initially intended for designing self-service reports and data models, Power BI Desktop has quickly grown into a robust, full-featured BI design tool. Power BI Desktop not only includes many great features, but is also stable and optimized. It’s a pleasure to use compared to my first experiences using SSDT for tabular model design. I prefer to use Desktop to do model design. It’s faster, more convenient and easier than SSDT. However, at some point in the life of a project, it simply makes more sense to transition the data model into an enterprise-scale effort.
“Pablo, what a #$@! They are thinking? Visual Studio is an essential tool and there are certain things you can’t do without it!
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, I agree and will continue to use SSDT for some key functions. So yeah, I’m still not done using Visual Studio to manage non-SSAS projects, and maybe to check out code… I’ll finish this part of the story in a moment.
I want to be clear: I love Visual Studio. It is a great product for developing software and a variety of business and data solutions. However, history has shown that the notion of throwing together several different products and expecting them all to work together seamlessly is simply unsustainable. Without going into all the reasons why it’s been difficult for Microsoft to develop and maintain a rock-solid tabular model layout plugin for Visual Studio, compare that effort to the evolution of the Power BI product. The Power BI product team is completely focused on developing a product through a development team under unified leadership, with a set of focused objectives. Negotiating the co-development of any product by several different teams is difficult within any organization, especially one as large as Microsoft. The reason new features can be added weekly to Power BI service and monthly to Power BI Desktop is that one product team manages all of those features.
Some of you may remember the time when Microsoft’s Business Intelligence message was that we were supposed to create solutions based on coordinated components of many products such as SQL Server (relational, SSIS, SSAS and SSRS), Windows Server, SharePoint and Office, all orchestrated. work together without problems. It was a good idea (and still is in moderation), but this approach produced a delicate and complicated beast that was difficult to handle and had many potential points of failure.
One of the reasons Power BI Desktop is such a beautifully optimized product is that the feature set is optimized for data analysts and not IT developers. To maintain an optimized product, we are not likely to see enterprise capabilities (such as version control, merging code from multiple developers, and programmable objects) added to this product. However, these capabilities exist for Analysis Services projects and community-supported tools such as Tabular Editor and DAX Studio. But now (drumroll please) the Power BI dataset can be developed and deployed to a workspace using enterprise tools through the magic of the XMLA endpoint.
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Call it a learning disability, but I’ve tried over and over again to use Visual Studio’s tabular designer to manage SSAS projects with the same result. Small demo and POC projects work well, but not so much when addressing the complexities of product-scale design. I guess it’s just my natural optimism to hope things turn out better than last time, but the laws of the universe dictate that if you do the same thing, history will repeat itself.
Here’s how it goes… I start developing a data model in SSDT by importing some tables and queries, and adding relationships and measures. All good, right?
At this point in the timeline, I often convince myself that the development environment is stable and that everything will be fine, so I move forward, believing that everything will be fine.
Then I add a few more tables and a bunch of new DAX calculations, and soon everything goes to hell. The model designer stops responding or behaves sporadically, Visual Studio crashes, the model definition file gets corrupted, and then I remember that I’ve been down this dark path before.
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When recounting the painful past, it is frustrating to open a support ticket and explain to the engineer that “sometimes when I do that, this happens, but not always” and “in the midst of all the confusion, I really can’t remember exactly how I came to This status.”
I sincerely appreciate the efforts of Kasper DeJonge of the SSAS product team in 2012 as we spent hours in remote meetings trying to reproduce various strange behaviors in the tabular designer with a large data model. The fundamental problem was that the Model.bim file, which defines all the objects in the data model, was a huge XML document (ours was approaching 100,000 lines). Every change to the designer required rewriting the entire file. to disk and then loaded back into memory. Things improved significantly in 2016 and 2017 when the model definition was simplified using JSON instead of XML and the file structure was simplified to reduce file size. Similar meetings with other product leaders have shown that the product team is seriously dedicated to optimizing the enterprise tabular model experience.
I’m talking about solutions and not just ranting about problems. So what is the answer? How should we manage the enterprise BI data model and Power BI solutions from now on? Using Tabular Editor together with Visual Studio is truly the best of both worlds experience. You can open the Model.bim file stored in the Visual Studio SSAS project folder.
Tabular Editor is a great tool for developing and managing tabular data models for SQL Server Analysis Services (SSAS), Azure Analysis Services (AAS), and Power BI. It is a community-supported tool created by Daniel Otykier, Microsoft MVP and Senior Business Intelligence Architect at Kapacity.dk in Denmark. The most comprehensive resource for finding this and other community-supported BI tools for the Microsoft platform is on the Italian site at SqlBi.com/Tools.
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If the project is under source control, changes made with Tabular Editor will be detected and can be synchronized with the remote source repository from Team Explorer in Visual Studio.
Don’t try to do this; will go wrong. Starting the model design in Power BI Desktop will save you time, but once you transition to the Model.bim file format, use the Tabular Editor.
A monolithic PBIX file created with Power BI Desktop containing reports, data models, and queries is simple and easy to manage until you need to overcome several limitations this imposes.
Power BI reports and datasets (data models) should be managed separately in all serious projects. Period. …whether you need to transition the data model to Model.bim or not.
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Separating Power BI reports from the model/dataset has many advantages, including allowing report and data model development to be done in parallel and by different team members. This is an absolute necessity to create a
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