# Parquet Output

The Parquet Output step allows you to map PDI fields to fields within data files and choose where you want to process those files, such as on HDFS. For big data users, the [Parquet Input](/pdia-data-integration/9.3-data-integration/pdi-transformation-steps-reference-overview/parquet-input.md) and Parquet Output steps enable you to gather data from various sources and move that data into the Hadoop ecosystem in the Parquet format. Depending on your setup, you can execute the transformation within PDI, or within the Adaptive Execution Layer (AEL) using Spark as the processing engine.

Before using the Parquet Output step, you will need to configure a named connection for your distribution, even if your **Location** is set to *Local*. For information on named connections, see [Connecting to a Hadoop cluster with the PDI client](/pdia-data-integration/9.3-data-integration/advanced-topics-pentaho-data-integration-overview/connecting-to-a-hadoop-cluster-with-the-pdi-client-article.md).


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.pentaho.com/pdia-data-integration/9.3-data-integration/pdi-transformation-steps-reference-overview/parquet-output.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.