<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Spark-Sql on DATATWEETS</title><link>https://datatweets.com/tags/spark-sql/</link><description>Recent content in Spark-Sql on DATATWEETS</description><generator>Hugo</generator><language>en</language><copyright>Copyright (c) 2026 Datatweets</copyright><lastBuildDate>Tue, 07 Jul 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://datatweets.com/tags/spark-sql/index.xml" rel="self" type="application/rss+xml"/><item><title>Using Spark SQL in PySpark: Query DataFrames with Familiar SQL Syntax</title><link>https://datatweets.com/tutorials/spark-sql-pyspark/</link><pubDate>Tue, 07 Jul 2026 00:00:00 +0000</pubDate><guid>https://datatweets.com/tutorials/spark-sql-pyspark/</guid><description>If you already know SQL, Spark SQL lets you query distributed DataFrames with the same SELECT, JOIN, and GROUP BY syntax you use every day. This guide shows you how to register views, run queries, and decide when to use SQL vs. the DataFrame API.</description></item></channel></rss>