8/8/2023 0 Comments Tabular editor translationsAs you can see in the below image, we have the source column, data type, and target column. The tool is available in two different versions: Tabular Editor 2.x (free, MIT license) - GitHub project page. For this simple demonstration, I used Import Schemas, which was sufficient to return the mapping. Tabular Editor is a tool that lets you easily manipulate and manage measures, calculated columns, display folders, perspectives and translations in Analysis Services Tabular and Power BI Models. The most important part is setting up the Copy Data activity Mappings manually for the first time. Instead, I will focus on the crucial part: the Mapping tab of the Copy Data activity. Instead, here is a gallery if you are interested in seeing those. I won’t go into detail on the lookup, sink, source, datasets used. I have already created the pipeline to extract the Tabular Translator. Therefore, I will build a working example first. Without knowing the Tabular Translator’s required syntax, it would be impossible for me to create it out of the box. Data Sources, Perspectives, Relationships, Roles, Tables, and Translations correspond to top-level schema objects. SSAS Tabular Translator is an editor for the JSON translation files exported and imported by SQL Server Data Tools for a Tabular model created in the new compatibility model (1200) for Analysis Services 2016. Tabular Model Explorer organizes metadata objects into a tree structure that closely resembles the schema of a tabular model. For demonstration purposes, my goal is to dynamically map JSON file columns & schema to my target Azure SQL Database table. To show Tabular Model Explorer, click View > Other Windows, and then click Tabular Model Explorer. To extract a working Tabular Translator template for dynamic manipulation, we need to build the pipeline to achieve our data loading goal. Since I have received plenty of questions on how to map JSON, CSV, Excel sources, I thought I’d show you how to get the Tabular Translator template yourself based on your setup so that you can start dynamically building your JSON translator. I have a post that already shows how to use the Tabular Translator and a SQL procedure to dynamically build column mappings in my post Dynamically Set Copy Activity Mappings in Azure Data Factory v2. Working with Tabular Editor The recommended workflow is to set up the tables and relationships using SSDT as normal, and then use Tabular Editor to do the rest. We can use the Tabular Translator properties to build a JSON script to dynamically control the previously mentioned properties, such as column mappings. The Tabular Translator is a component of the Copy Data activity responsible for setting column mappings, schema mappings, data type conversions, and more.
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