Today I became a true data enginner as I acidentally dropped all of our production objects

Summary

Data governance gains prominence after an incident where a data engineer accidentally deleted production objects.

Data governance in practice

A data engineer discovered he had unintentionally dropped all production objects while cleaning up catalogs at Databricks. He intended to delete only test catalogs prefixed with "pr," but realized too late that production also used this prefix. Luckily, Databricks provided the functionality to restore tables through the undrop table feature.

Why this matters

This incident highlights the importance of data governance and safe data management practices. The potential for human error remains significant, especially with complex datasets. Compared to competitors, Databricks is developing features that provide substantial value to data engineers and scientists. This event also illustrates the need for companies to proactively implement data protection measures and train staff to reduce mistakes.

Concrete takeaway

BI professionals should recognize the necessity of strict data management procedures and provide training to employees to minimize human errors. Consider tools like Databricks' undrop table to mitigate the impact of unintentional mistakes.