<ul><li>Data engineering can be challenging, particularly when it comes to handling time-related issues</li><li>One common challenge is accounting for Leap Year by creating schedules and variables that consider the extra February day</li><li>Another frequent problem is dealing with months that have 31 days and ensuring date attributes are isolated correctly</li><li>To learn more about resolving these issues and for detailed analyses of date problems, refer to the article 'Why Your Data Pipelines Will Fail On These 10 Days Every Year (And What To Do About It)'</li></ul>

This Month Is The Worst For Data Engineering

Discover more