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Error handling when building Power BI reports is important for ensuring reports are reliable, particularly when you have multiple data sources with various data types and data shapes. Power Query offers a sophisticated way to implement error handling using the try...otherwise expression, giving developers the ability to catch and handle errors in the data loading phase. The importance of this is that when a step fails the entire query process does not fail--the step will error and provide fallback values, or default logic, for a better user experience.

For instance, in a Power BI Course in Pune, when learners loaded data from an Excel, SQL, or API source, they pointed out how to implement the use of try...otherwise and log data or patterns to help manage when errors happen.

Examples and hands-on projects in Power BI classes also highlighted the importance of checking type conversions to specific column types and null checks by using conditional logic to accommodate for unexpected input scenarios enabled reports to be more fault tolerance, and dynamic.

At an advanced level, Power BI Training in Pune builds on these strategies at an enterprise level with, for example, the use of Power Automate in the ability to automate alerting errors from your dataset refresh, or create a monitoring dashboard, with flagging and visualization using Power BI reports to see when a refresh failed, when a quality issue arose, or a user impacted scenario arose.