<?xml version="1.0" encoding="utf-8"?><!DOCTYPE Zthes SYSTEM "http://zthes.z3950.org/schema/zthes-1.0.dtd">  <Zthes><term><termId>1804</termId><termName>big data</termName><termType>PT</termType><termLanguage>en-GB</termLanguage><termVocabulary>DaLiCo Glossary</termVocabulary>	<termStatus>active</termStatus>	<termApproval>approved</termApproval>	<termSortkey>big data</termSortkey><termNote label="Definition"><![CDATA[ <p>Big data are data that are high volume, high velocity, and/or high variety; require new technologies and techniques to capture, store, and analyze; and are used to enhance decision making, provide insight and discovery, and support and optimize processes.</p>
<p>Source: Mills, S., S. Lucas, L. Irakliotis, M. Ruppa, T. Carlson and B. Perlowitz (2012). <em>Demystifying Big Data: A Practical Guide to Transforming the Business of Government.</em> Washington: TechAmerica Foundation. <br />Online: <a href="http://breakinggov.com/documents/demystifying-big-data-a-practical-guide-to-transforming-the-bus/">http://breakinggov.com/documents/demystifying-big-data-a-practical-guide-to-transforming-the-bus/</a> </p>
<p> </p> ]]></termNote><termNote label="Definition"><![CDATA[ <p>Big data are data that are high volume, high velocity, and/or high variety; require new technologies and techniques to capture, store, and analyze; and are used to enhance decision making, provide insight and discovery, and support and optimize processes.</p>
<p>Source: Mills, S., S. Lucas, L. Irakliotis, M. Ruppa, T. Carlson and B. Perlowitz (2012). <em>Demystifying Big Data: A Practical Guide to Transforming the Business of Government.</em> Washington: TechAmerica Foundation. <br />Online: <a href="http://breakinggov.com/documents/demystifying-big-data-a-practical-guide-to-transforming-the-bus/">http://breakinggov.com/documents/demystifying-big-data-a-practical-guide-to-transforming-the-bus/</a> </p>
<p> </p> ]]></termNote><termNote label="Example note"><![CDATA[ <p>High volume—the amount or quantity of data<br />High velocity—the rate at which data is created<br />High variety—the different types of data In short, “big data” means there is more of it, it comes more quickly, and comes in more form</p>
<p>Source: Russom, P. (2011). <em>Big Data Analytics, TDWI Best Practices Report.</em> Seattle: The Data Warehousing Institute, Fourth Quarter. <br />Online: <a href="http://tdwi.org/research/2011/09/best-practices-report-q4-big-data-analytics.aspx">http://tdwi.org/research/2011/09/best-practices-report-q4-big-data-analytics.aspx</a> </p> ]]></termNote><termCreatedDate>big data</termCreatedDate><relation><relationType>UF</relationType><termId>2048</termId><termName>datos masivos</termName><termType>ND</termType></relation><relation><relationType>UF</relationType><termId>2049</termId><termName>große Datenmengen</termName><termType>ND</termType></relation><relation><relationType>UF</relationType><termId>2050</termId><termName>omvangrijke data</termName><termType>ND</termType></relation><relation><relationType>UF</relationType><termId>2051</termId><termName>nagyméretű adatok</termName><termType>ND</termType></relation><relation><relationType>UF</relationType><termId>2586</termId><termName>Big Data [DE]</termName><termType>ND</termType></relation><relation><relationType>BT</relationType><termId>1805</termId><termName>data</termName><termType>PT</termType></relation><relation><relationType>RT</relationType><termId>2065</termId><termName>data warehouse</termName><termType>PT</termType></relation><relation><relationType>RT</relationType><termId>2098</termId><termName>data processing</termName><termType>PT</termType></relation><relation><relationType>RT</relationType><termId>2444</termId><termName>data hub</termName><termType>PT</termType></relation></term>  </Zthes>