Dealing with ParquetInvalidColumnName error in Azure Data Factory

Azure Data Factory and Integrated Pipelines within the Synapse Analytics suite are powerful tools for orchestrating data extraction. It is a common practice to extract data from the source system and store it in a dedicated landing zone located in Azure Data Lake Storage Gen 2. However, sometimes you might encounter the ParquetInvalidColumnName error while working with these tools.

This error can arise when a column name in your source data contains characters that are not supported by Parquet. Fortunately, this tutorial goes through the steps needed to resolve this issue and keep your data flows running smoothly. By following the instructions provided, you can troubleshoot this issue with ease and avoid disruptions to your data pipeline.

So, if you are facing the ParquetInvalidColumnName error while working in Azure Data Factory or Integrated Pipelines, this tutorial can be your solution to quickly resolve the issue and resume your data extraction operations.

This informative article can be accessed at: https://pl.seequality.net/dealing-with-parquetinvalidcolumnname-error-in-azure-data-factory/