Business Intelligence Tools For Visual Studio 2019

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Business Intelligence Tools For Visual Studio 2019 – In this article, I’ll introduce you to the Tabular Object Model (TOM) of the Power BI data model and explain how you can access this model outside of the Power BI environment. Read this article to learn more about the tabular object model in the Power BI data model. In this tutorial, we’ll use Visual Studio Code to write a simple .NET console application and access the tabular object model from a Power BI file. With the help of this knowledge, programmers and BI developers can not only view the underlying model of the Power BI data model, but also programmatically enhance the data model by writing a few lines of code. It can also be further enhanced by automating Power BI model creation using dotnet’s tabular object model library.

First, we’ll use Visual Studio Code to connect to the Power BI data model, so let’s install it on our computer. Go to the official website of Visual Studio Code and download that version of the tools. Since I’m using Windows, I’ll download the tools for the latest Windows version.

Business Intelligence Tools For Visual Studio 2019

After downloading the tool locally, go ahead and install the same. Retain default settings during installation. Since I already installed the tool before this tutorial, I won’t reinstall it.

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After successfully installing Visual Studio Code, the next step is to download and install the dotnet Core SDK. You need to install the dotnet core SDK, not the runtime. At the time of writing this article, the latest version of the dotnet Core SDK available is 3.1.302. You can download it here. Depending on your internet connection, the download may take some time. Once downloaded, install the same with recommended settings.

After installation is complete as shown above, run the “dotnet –info” command. You can see the latest version installed on your computer along with previously installed versions.

Now that you have the dotnet Core SDK installed on your computer, you are ready to create a console application that you will use to interact with your Power BI data model. Create the directory where you want to create the application. Once inside the directory, run the following command:

This command will create a new dotnet console application in the directory as mentioned, you can see the result in the directory like this: There are two files – “

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This will be the main file where you will write all code related to the Power BI data model. This file can already be opened and contains some sample code that you can build and run.

As you can see, we have successfully built and run our application. The next step is to include the Tabular Object Model library in this program so that you can use it in your application. You can install the package in your console application by running the command below:

Installation will take some time, and you will see that the package has been installed successfully.

Now that you have installed the TOM library in your console application, you can use it in your code. In this tutorial, we will use a sample Power BI report downloaded from Microsoft’s official documentation. The idea is to create a small program that can connect to this Power BI report and display a list of tables within it.

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Let’s go ahead and open a sample report in Power BI Desktop. You can see the table name in the right pane.

As you can see, this Power BI model has six different tables. Let’s display the same in our console application.

Go to Visual Studio Code and paste the following code there. The port number of the Analysis Service server is different in your case and needs to be modified. To find the port number, you can follow one of the techniques mentioned in this article.

As you can see in the picture above, I first created a server object named “

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” This will connect to the localhost and port we specified. This server object can now contain one or more databases. In our case, we only have one tabular database, so we want to import the data model from the first database itself. After you import a data model in your console application, you can run statements that return the name of each table in that data model.

Here you will see a list of table names in your Power BI data model. This is a very simple configuration that just lists the table names in the data model. Using the tabular object model library, you can actually perform a variety of automated tasks, such as adding measures to an existing data model or copying measures from one model to another. You can also register a console application with Power BI Desktop and use the application as a toolbar inside the Power BI Desktop application. Here are some complex tasks you can perform using the Tabular Object Model Client Library for dotnet.

Although this is not the preferred way to work with Power BI data models, the purpose of this article was simply to highlight how to launch a console application while using the TOM library. There are several tools used by the Power BI community, such as DAX Studio, Tabular Editor, etc., that can be used to modify data models outside of the Power BI environment.

In this article, you learned how to connect to a Power BI data model using Visual Studio Code and how to access the tabular object model from within code. Tabular Object Model, also known as TOM, is a client library provided by Microsoft that you can leverage to build programs and access the underlying Power BI data model. This is very useful for automating the creation and modification of Power BI data models programmatically. Starting to work with the Tabular Object Model library will help you understand how tabular models work and help you build tools that aren’t yet available for Power BI data models.

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Aveek is an experienced data and analytics engineer currently based in Dublin, Ireland. His main technical interests include big data tools such as SQL Server, SSIS/ETL, SSAS, Python, Apache Spark, Kafka, and cloud technologies such as AWS/Amazon and Azure.

He is a prolific author with over 100 articles published on various technology blogs, including his own, and is a frequent contributor to various technology forums.

In his spare time, he enjoys amateur photography, mainly street photography and still life photography. You can see some of his work on Instagram. You can also find him on LinkedIn

© Quest Software Inc. ALL RIGHTS RESERVED. | GDPR | Terms of Use | PrivacySQL Server Data Tools (SSDT) ​​is a modern development tool for building SQL Server relational databases, databases in Azure SQL, Analysis Services (AS) data models, Integration Services (IS) packages, and Reporting Services (RS) reports. SSDT lets you design and deploy any SQL Server content type as easily as developing an application in Visual Studio.

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If you already have Visual Studio 2022 installed, you can edit your workload list to include SSDT. If you don’t have Visual Studio 2022 installed, you can download and install Visual Studio 2022.

For Analysis Services, Integration Services, or Reporting Services projects, you can use Extensions > Manage Extensions to install the appropriate extension from within Visual Studio or from the Marketplace.

To understand the licensing terms and use cases for Visual Studio, see the Visual Studio Licensing Directory. For example, if you use Visual Studio Community Edition for SQL Server Data Tools, review the EULA for that version of Visual Studio in the Visual Studio Licensing Directory.

In Visual Studio 2019, the functionality required to activate Analysis Services, Integration Services, and Reporting Services projects has been moved to only the corresponding Visual Studio (VSIX) extensions.

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If you already have Visual Studio 2019 installed, you can edit the workload list to include SSDT. If you don’t have Visual Studio 2019 installed, you can download and install Visual Studio 2019 Community.

For scenarios that require offline installation, such as low bandwidth or isolated installations

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