TMDL view enhancements

Summary

This video showcases the latest updates to TMDL View for Power BI, enhancing the semantic modeling experience. Key features include a streamlined code editor with tooltips, code formatting options, and quick fixes for errors like misspelled properties and duplicated lineage tags. New functionality for upgrading compatibility levels, along with bulk renaming of table columns, improves workflow efficiency. The video demonstrates how these updates simplify tasks like column renaming and error handling, ultimately making semantic modeling faster, smarter, and more intuitive.

Takeaways

• 😀 TMDL View in Power BI enhances semantic modeling with new features like tooltips, code formatting, and quick fixes.
• 😀 Mouse-over tooltips now provide information about semantic model objects and properties, reducing the need to consult documentation.
• 😀 Code formatting is now available in TMDL View, allowing users to format specific sections or entire documents with keyboard shortcuts.
• 😀 The ‘Fix Errors’ feature helps correct misspelled property names and fix semantic errors, such as duplicated lineage tags.
• 😀 When encountering a duplicated lineage tag, TMDL View offers an easy solution to generate a new tag, fixing the issue automatically.
• 😀 A new compatibility level upgrade prompt makes it easier to handle unsupported features when applying TMDL scripts, removing the need for external tools.
• 😀 TMDL View allows for a smoother compatibility level upgrade with a simple prompt asking users to upgrade when required.
• 😀 Bulk renaming columns is now possible in TMDL View without affecting the Power Query expression or requiring manual renaming in Power Query.
• 😀 Users can remove spaces in column names in bulk by scripting the table with regular expressions, ensuring changes are preserved on refresh.
• 😀 The new find-and-replace functionality, with regular expressions, allows for a more efficient and automated way of editing column names in TMDL View.
• 😀 TMDL View's enhancements aim to improve workflow speed, reduce errors, and make the semantic modeling experience in Power BI more intuitive.