⚙️Create your very own logging table

In this week’s cloud engineering series video, we’re diving into error handling with an Error Logging Table in Databricks.

Here’s why this is crucial:

When data quality issues arise at the Silver level (like invalid zip codes or IDs), we don’t want to clutter our Gold layer with errors. Instead, we capture these issues in a dedicated logging table for easy tracking and review.

In this video, I show you how to:

📊 Set up a dedicated Error Logging Table to collect issues

🔎 Track data quality issues like ValidZip and ValidID

🛠️ Provide a streamlined approach for your team to investigate and resolve problems

This method helps keep your workflow clean and your Gold layer pristine, ensuring the right team gets the right data for troubleshooting.

📊 Follow along weekly as we explore how to build resilient, scalable, and governed cloud data platforms!

👉 If your team is exploring how to modernize your data stack or scale your cloud analytics—reach out! I’d love to talk about how I can help.

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