<?xml version="1.0"?>
<rss version="2.0">
   <channel>
      <title>6-15 List and describe the BI technologies described in this case by Micheal</title>
      <link>https://padlet.com/m_axelsen1/63i1wsnee1ja</link>
      <description></description>
      <language>en-us</language>
      <pubDate>2016-08-11 21:18:17 UTC</pubDate>
      <lastBuildDate>2026-01-20 19:45:35 UTC</lastBuildDate>
      <webMaster>hello@padlet.com</webMaster>
      <image>
         <url></url>
      </image>
      <item>
         <title>Big data technologies</title>
         <author></author>
         <link>https://padlet.com/m_axelsen1/63i1wsnee1ja/wish/118711002</link>
         <description><![CDATA[<div>Apache Hadoop </div>]]></description>
         <enclosure url="" />
         <pubDate>2016-08-18 08:13:18 UTC</pubDate>
         <guid>https://padlet.com/m_axelsen1/63i1wsnee1ja/wish/118711002</guid>
      </item>
      <item>
         <title></title>
         <author></author>
         <link>https://padlet.com/m_axelsen1/63i1wsnee1ja/wish/118711657</link>
         <description><![CDATA[<div>IBM InfoSphereBigInsights: a set of software tools for ‘big data’ analysis and visualization and is powered by Apache Hadoop.<br>AutoZone: use big data to help it adjust inventory and product price.<br><br></div>]]></description>
         <enclosure url="" />
         <pubDate>2016-08-18 08:19:22 UTC</pubDate>
         <guid>https://padlet.com/m_axelsen1/63i1wsnee1ja/wish/118711657</guid>
      </item>
      <item>
         <title></title>
         <author></author>
         <link>https://padlet.com/m_axelsen1/63i1wsnee1ja/wish/118711701</link>
         <description><![CDATA[<div>2. Relationship database. SAS and cloud service.</div>]]></description>
         <enclosure url="" />
         <pubDate>2016-08-18 08:19:41 UTC</pubDate>
         <guid>https://padlet.com/m_axelsen1/63i1wsnee1ja/wish/118711701</guid>
      </item>
      <item>
         <title>IBM, Apache Hadoop，</title>
         <author></author>
         <link>https://padlet.com/m_axelsen1/63i1wsnee1ja/wish/118711996</link>
         <description><![CDATA[]]></description>
         <enclosure url="" />
         <pubDate>2016-08-18 08:21:48 UTC</pubDate>
         <guid>https://padlet.com/m_axelsen1/63i1wsnee1ja/wish/118711996</guid>
      </item>
      <item>
         <title>Business Intelligence</title>
         <author></author>
         <link>https://padlet.com/m_axelsen1/63i1wsnee1ja/wish/118712774</link>
         <description><![CDATA[<div>IBM InfoSphereBigInsights software<br>Apache Hadoop</div>]]></description>
         <enclosure url="" />
         <pubDate>2016-08-18 08:28:12 UTC</pubDate>
         <guid>https://padlet.com/m_axelsen1/63i1wsnee1ja/wish/118712774</guid>
      </item>
      <item>
         <title></title>
         <author></author>
         <link>https://padlet.com/m_axelsen1/63i1wsnee1ja/wish/118842887</link>
         <description><![CDATA[<div>There were several business intelligent technologies described in this case: these included:<br><br></div><div>Data warehousing to store data (NYC Crime statistics)<br><br></div><div>Software tools to manage the analysis and visualisation of big data (Vestas)<br><br></div><div>Hadoop for the distribution of processing of the big data (Vestas and Seers)</div>]]></description>
         <enclosure url="" />
         <pubDate>2016-08-18 23:03:09 UTC</pubDate>
         <guid>https://padlet.com/m_axelsen1/63i1wsnee1ja/wish/118842887</guid>
      </item>
      <item>
         <title></title>
         <author></author>
         <link>https://padlet.com/m_axelsen1/63i1wsnee1ja/wish/118844219</link>
         <description><![CDATA[<div>Warehouse(NYPD)<br>analytic platform(Vestas)<br>cloud service(AutoZone)<br>text mining(Hertz)<br>Hadoop(Sears)</div>]]></description>
         <enclosure url="" />
         <pubDate>2016-08-18 23:25:12 UTC</pubDate>
         <guid>https://padlet.com/m_axelsen1/63i1wsnee1ja/wish/118844219</guid>
      </item>
   </channel>
</rss>
