Snowflake CI/CD: separating platform change from data engineering change
📰 Medium · DevOps
Learn to separate platform change from data engineering change in Snowflake CI/CD to streamline your workflow
Action Steps
- Identify platform changes in Snowflake
- Separate data engineering changes from platform changes
- Use version control for data engineering changes
- Implement automated testing for platform changes
- Configure CI/CD pipelines for both platform and data engineering changes
Who Needs to Know This
Data engineers and DevOps teams can benefit from understanding the distinction between platform and data engineering changes to improve their Snowflake CI/CD pipelines
Key Insight
💡 Separating platform change from data engineering change is crucial for efficient Snowflake CI/CD
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🚀 Streamline your Snowflake CI/CD workflow by separating platform and data engineering changes!
Key Takeaways
Learn to separate platform change from data engineering change in Snowflake CI/CD to streamline your workflow
Full Article
The confusion teams commonly face with Snowflake CI/CD is trying to find one tool that governs everything. Continue reading on Medium »
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