<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title><![CDATA[RSS Feed]]></title><description><![CDATA[RSS Feed]]></description><link>http://direct.ecency.com</link><image><url>http://direct.ecency.com/logo512.png</url><title>RSS Feed</title><link>http://direct.ecency.com</link></image><generator>RSS for Node</generator><lastBuildDate>Mon, 20 Apr 2026 19:12:38 GMT</lastBuildDate><atom:link href="http://direct.ecency.com/created/kafkadatastreaming/rss.xml" rel="self" type="application/rss+xml"/><item><title><![CDATA[Analyzing Data Streaming using Spark vs Kafka]]></title><description><![CDATA[Before we draw a comparison between Spark Streaming and Kafka Streaming and conclude which one to use when, let us first get a fair idea of the basics of Data Streaming: how it emerged, what is streaming,]]></description><link>http://direct.ecency.com/kafkadatastreaming/@cuelogictech/analyzing-data-streaming-using-spark-vs-kafka</link><guid isPermaLink="true">http://direct.ecency.com/kafkadatastreaming/@cuelogictech/analyzing-data-streaming-using-spark-vs-kafka</guid><category><![CDATA[kafkadatastreaming]]></category><dc:creator><![CDATA[cuelogictech]]></dc:creator><pubDate>Wed, 05 Jun 2019 12:05:54 GMT</pubDate><enclosure url="https://images.ecency.com/p/5s4dzRwnVbzDF7bE9aL1QAkzPtXVoKVEqcVozCEGgvLx9ekeAZ49G6wDzBwhn716QTbiCi4LmVcwxbqEcnWRg6tKaFUrgALVnPtknSpffvz2ub2L9S1Mzo1MkeWtMSSJW5kCDyBdNxgJ5jwq6njJMQQ1DDWhsfQdN16GiHU?format=match&amp;mode=fit" length="0" type="false"/></item></channel></rss>