Mastering Tabular Editor 3

Tabular Editor 3 is the productivity tool every DAX, Power BI and Power Pivot developer should be using

Ratings 4.41 / 5.00
Mastering Tabular Editor 3

What You Will Learn!

  • The New Visual Studio Like Experience
  • The DAX Editor (Such an improvement over the Power BI editor)
  • Best Practices Analyzer
  • Data Preview and Pivot Grids
  • Scripting
  • Diagrams
  • Calculation Groups

Description

Tabular Editor is an editor alternative to SSDT or Power BI for authoring Tabular models for Analysis Services, with or without an Analysis Server server running.

Tabular Editor 2 is an open source project that can edit a BIM file without accessing any data. This offline capability makes any change very quick when applying the change to the BIM file, especially when you manipulate and manage measures, calculated columns, display folders, perspectives and translations.

Tabular Editor 3 is a wonderful evolution of the popular community tool that is Tabular Editor 2. It is very lightweight, fast, intuitive and already in use by thousands of BI professionals worldwide.  It includes premium features not found in Tabular Editor 2 that will make your life as a Tabular Model author even better! It has a Visual Studio like IDE, theming (dark mode!!), high-DPI and multi-monitor support, full and sophisticated auto completion, formatting, data preview, pivot grids, refactoring and a superb DAX editor, and so much more. You will never want to write DAX using any other editor ever again.

When Tabular Editor 3 is connected to Analysis Services or the XMLA endpoint of Power BI Premium, you will also be able to work with the data in your model. You can also initiate and monitor data refresh operations from within Tabular Editor. Testing and verifying that your model works the way you want it to has never been easier or more efficient.

Tabular Editor supports the compatibility level 1200 or newer (JSON format), including the 1500 required by calculation groups.

Who Should Attend!

  • DAX developers, of every level, working in the Power BI or Excel Power Pivot space

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Tags

  • DAX

Subscribers

367

Lectures

38

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