<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Analysis on Antonio Cortés (DrZippie)</title><link>https://antoniocortes.com/tags/analysis/</link><description>Recent content in Analysis on Antonio Cortés (DrZippie)</description><generator>Hugo</generator><language>es-es</language><lastBuildDate>Sun, 01 Feb 2026 21:46:02 +0100</lastBuildDate><atom:link href="https://antoniocortes.com/tags/analysis/index.xml" rel="self" type="application/rss+xml"/><item><title>StreamTools: A tool for analyzing data streams</title><link>https://antoniocortes.com/en/streamtools-a-tool-for-analyzing-data-streams/</link><pubDate>Thu, 02 Apr 2015 00:00:00 +0000</pubDate><guid>https://antoniocortes.com/en/streamtools-a-tool-for-analyzing-data-streams/</guid><description>&lt;p&gt;Every day we hear about Big Data, IoT, Smart Data, Machine Learning, semantic data, etc. Many times out of context or simply used because they&amp;rsquo;re &amp;ldquo;trendy&amp;rdquo;.&lt;/p&gt;
&lt;p&gt;One of the best examples is &amp;ldquo;Big Data&amp;rdquo;, where we always talk about huge amounts of information, systems, platforms, queries, but with the error, from my point of view, of taking that as information, no, no it&amp;rsquo;s not information, they&amp;rsquo;re data, raw data or processed data, information is what is extracted from that data. Many times, with the term &amp;ldquo;Big Data&amp;rdquo;, we get lost in only the part of storing huge amounts of data, replicated and in astronomical volumes. That&amp;rsquo;s not &amp;ldquo;Big Data&amp;rdquo;, that&amp;rsquo;s only talking about one part, the most mechanical one, and the one that contributes least to what we&amp;rsquo;re looking for &amp;ldquo;Information&amp;rdquo;, it&amp;rsquo;s only &amp;ldquo;data storage and management&amp;rdquo;, one leg of a much broader table.&lt;/p&gt;</description></item></channel></rss>