<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title>Bing: Spark Hubcap Removal</title><link>http://www.bing.com:80/search?q=Spark+Hubcap+Removal</link><description>Search results</description><image><url>http://www.bing.com:80/s/a/rsslogo.gif</url><title>Spark Hubcap Removal</title><link>http://www.bing.com:80/search?q=Spark+Hubcap+Removal</link></image><copyright>Copyright © 2026 Microsoft. All rights reserved. These XML results may not be used, reproduced or transmitted in any manner or for any purpose other than rendering Bing results within an RSS aggregator for your personal, non-commercial use. Any other use of these results requires express written permission from Microsoft Corporation. By accessing this web page or using these results in any manner whatsoever, you agree to be bound by the foregoing restrictions.</copyright><item><title>Apache Spark™ - Unified Engine for large-scale data analytics</title><link>https://spark.apache.org/</link><description>Apache Spark is a multi-language engine for executing data engineering, data science, and machine learning on single-node machines or clusters.</description><pubDate>Fri, 24 Apr 2026 05:48:00 GMT</pubDate></item><item><title>Overview - Spark 4.1.1 Documentation</title><link>https://spark.apache.org/docs/latest/</link><description>Spark Connect is a new client-server architecture introduced in Spark 3.4 that decouples Spark client applications and allows remote connectivity to Spark clusters.</description><pubDate>Fri, 24 Apr 2026 04:22:00 GMT</pubDate></item><item><title>Documentation | Apache Spark</title><link>https://spark.apache.org/documentation.html</link><description>Hands-On Exercises Hands-on exercises from Spark Summit 2014. These let you install Spark on your laptop and learn basic concepts, Spark SQL, Spark Streaming, GraphX and MLlib. Hands-on exercises from Spark Summit 2013. These exercises let you launch a small EC2 cluster, load a dataset, and query it with Spark, Shark, Spark Streaming, and MLlib.</description><pubDate>Thu, 23 Apr 2026 23:00:00 GMT</pubDate></item><item><title>Quick Start - Spark 4.1.1 Documentation - Apache Spark</title><link>https://spark.apache.org/docs/latest/quick-start.html</link><description>Quick Start Interactive Analysis with the Spark Shell Basics More on Dataset Operations Caching Self-Contained Applications Where to Go from Here This tutorial provides a quick introduction to using Spark. We will first introduce the API through Spark’s interactive shell (in Python or Scala), then show how to write applications in Java, Scala, and Python. To follow along with this guide ...</description><pubDate>Thu, 23 Apr 2026 16:05:00 GMT</pubDate></item><item><title>Examples | Apache Spark</title><link>https://spark.apache.org/examples.html</link><description>Apache Spark ™ examples This page shows you how to use different Apache Spark APIs with simple examples. Spark is a great engine for small and large datasets. It can be used with single-node/localhost environments, or distributed clusters. Spark’s expansive API, excellent performance, and flexibility make it a good option for many analyses.</description><pubDate>Thu, 23 Apr 2026 23:36:00 GMT</pubDate></item><item><title>Spark SQL &amp; DataFrames | Apache Spark</title><link>https://spark.apache.org/sql/</link><description>Spark SQL is Spark's module for working with structured data, either within Spark programs or through standard JDBC and ODBC connectors.</description><pubDate>Thu, 23 Apr 2026 20:23:00 GMT</pubDate></item><item><title>Configuration - Spark 4.1.1 Documentation - Apache Spark</title><link>https://spark.apache.org/docs/latest/configuration.html</link><description>The Spark shell and spark-submit tool support two ways to load configurations dynamically. The first is command line options, such as --master, as shown above. spark-submit can accept any Spark property using the --conf/-c flag, but uses special flags for properties that play a part in launching the Spark application.</description><pubDate>Thu, 23 Apr 2026 13:06:00 GMT</pubDate></item><item><title>PySpark Overview — PySpark 4.1.1 documentation - Apache Spark</title><link>https://spark.apache.org/docs/latest/api/python/index.html</link><description>PySpark Overview # Date: Jan 02, 2026 Version: 4.1.1 Useful links: Live Notebook | GitHub | Issues | Examples | Community | Stack Overflow | Dev Mailing List | User Mailing List PySpark is the Python API for Apache Spark. It enables you to perform real-time, large-scale data processing in a distributed environment using Python. It also provides a PySpark shell for interactively analyzing your ...</description><pubDate>Thu, 23 Apr 2026 23:22:00 GMT</pubDate></item><item><title>Spark SQL and DataFrames - Spark 4.1.1 Documentation</title><link>https://spark.apache.org/docs/latest/sql-programming-guide.html</link><description>Spark SQL, DataFrames and Datasets Guide Spark SQL is a Spark module for structured data processing. Unlike the basic Spark RDD API, the interfaces provided by Spark SQL provide Spark with more information about the structure of both the data and the computation being performed.</description><pubDate>Thu, 23 Apr 2026 22:03:00 GMT</pubDate></item><item><title>Spark Release 4.0.0 - Apache Spark</title><link>https://spark.apache.org/releases/spark-release-4-0-0.html</link><description>Spark Release 4.0.0 Apache Spark 4.0.0 marks a significant milestone as the inaugural release in the 4.x series, embodying the collective effort of the vibrant open-source community. This release is a testament to tremendous collaboration, resolving over 5100 tickets with contributions from more than 390 individuals. Spark Connect continues its rapid advancement, delivering substantial ...</description><pubDate>Thu, 23 Apr 2026 22:46:00 GMT</pubDate></item></channel></rss>