<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Parquet on ETL-WIKI</title><link>https://www.etl-tools.com/wiki/tags/parquet/</link><description>Recent content in Parquet on ETL-WIKI</description><generator>Hugo</generator><language>en</language><copyright>Copyright © 2008-2026 ETL-tools.com. All Rights Reserved.</copyright><lastBuildDate>Thu, 05 Mar 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://www.etl-tools.com/wiki/tags/parquet/index.xml" rel="self" type="application/rss+xml"/><item><title>Delimited File to Parquet Dynamic Action</title><link>https://www.etl-tools.com/wiki/advanced-etl-processor/packages/actions/delimited-file-to-parquet/</link><pubDate>Thu, 05 Mar 2026 00:00:00 +0000</pubDate><guid>https://www.etl-tools.com/wiki/advanced-etl-processor/packages/actions/delimited-file-to-parquet/</guid><description>&lt;h2 id="about">About&lt;/h2>

&lt;p>&lt;strong>Apache Parquet&lt;/strong> is an open-source, columnar storage file format designed for efficient data processing and analytics. It is optimized for use with big data frameworks such as Apache Hadoop, Apache Spark, and Apache Hive.&lt;/p></description></item><item><title>Parquet Reader</title><link>https://www.etl-tools.com/wiki/advanced-etl-processor/transforming-data/reader-sources/parquet/</link><pubDate>Thu, 05 Mar 2026 00:00:00 +0000</pubDate><guid>https://www.etl-tools.com/wiki/advanced-etl-processor/transforming-data/reader-sources/parquet/</guid><description>&lt;h2 id="about-parquet-files">About Parquet Files&lt;/h2>

&lt;p>&lt;strong>Apache Parquet&lt;/strong> is an open-source, columnar storage file format designed for efficient data processing and analytics. It is optimized for use with big data frameworks such as Apache Hadoop, Apache Spark, and Apache Hive.&lt;/p></description></item></channel></rss>