This tutorial shows how to convert all delimited text files in a directory into Parquet format in Advanced ETL Processor. Use the Delimited File to Parquet action when folder-based text extracts need to become columnar files for analytics or data lake work.
What You Will Learn
- Configure the Delimited File to Parquet action.
- Convert a directory of delimited files into Parquet output.
- Review metadata, parameters, variables, and execution logs.
- Use Parquet when downstream analytics need columnar storage instead of row-based text files.
Before You Start
Use a test repository or safe sample data while following the tutorial. Production jobs are a poor place to experiment.
Delimited File To Parquet Action Docs
This tutorial uses the Delimited File to Parquet Dynamic Action to convert text extracts into Parquet files. Parquet stores data by columns rather than rows, which is useful for analytical workloads that read only part of the dataset. CSV is fine until analytics starts asking it to behave like a database.
The action documentation explains why Parquet is useful, the metadata tab, and the parameters tab. Check these before pointing the workflow at a busy directory.
For repeat jobs, review the variables tab, the execution log tab, and the related guides for debugging actions and working with variables.
Need Advanced ETL Processor First?
Download the Advanced ETL Processor trial before following the tutorial, or review Enterprise if you need scheduled unattended execution.