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Description
Submission Details
This article explains in detail every feature that dbt 1.10 brings to the table including other changes. It also talks about the new Fusion engine and the new VS Code extension.
Table of Contents:
- Introduction
- Sample Mode (--sample=”duration”)
- Microbatch Awareness
- Calculate Source Freshness via a SQL Query
- Validation and Linting
- Recording Hard Deletes
- Orphaned Jinja Blocks
- Catalogs Support
- Artifact Enhancement
- Python 3.13 Compatibility
- dbt Engine Environment Variables
- Custom Output Path for Source Freshness
- Warn Error Options
- Spaces in Resource Names Disallowed
- Miscellany
- How To Upgrade
- Fusion Engine
- VS Code Extension
- Conclusion
The Format
- [✅] Blog Article
- Tutorial
- Video
I have submitted the draft for this article via the Typeform form.
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