ALOE http://aloe-project.de/AloeFeeds/action/atomFeedResourceActivities?resourceId=nkXexZu aloe-noreply@dfki.uni-kl.de benbanbun http://aloe-project.de/AloeView/action/userData?userId=ndLgDCY This feed contains recent activities on resource "Recap: Improving Hadoop Performance by (up to) 1000x | LinkedIn Engineering" in [ALOE] http://aloe-project.de/AloeFeeds/action/atomFeedResourceActivities?resourceId=nkXexZu ALOE http://aloe-project.de/AloeFeeds/action/atomFeedResourceActivities?resourceId=nkXexZu aloe-noreply@dfki.uni-kl.de benbanbun http://aloe-project.de/AloeView/action/userData?userId=ndLgDCY http://aloe-project.de/AloeFeeds/action/atomFeedResourceActivities?resourceId=nkXexZu:6:2012-01-03 16:09:06.0 January 3, 2012 4:09:00 PM CET: User <a href="http://aloe-project.de/AloeView/action/userData?userId=ndLgDCY"><b>benbanbun</b></a> contributed resource <a href="http://aloe-project.de/AloeView/action/resourceDetailed?resourceId=nkXexZu"><b>Recap: Improving Hadoop Performance by (up to) 1000x | LinkedIn Engineering</b></a> with the following metadata:<br/><br/><i>associatedDate</i>: <b></b><br/><i>creator</i>: <b></b><br/><i>description</i>: <b>Daniel Abadi recently visited LinkedIn and talked about &quot;Improving Hadoop Performance by (up to) 1000x.&quot; Abadi is an assistant professor at Yale University and the Chief Scientist of Hadapt, a company he co-founded to commercialize the HadoopDB project. This post is a recap of Abadi's talk, which focused on how HadoopDB could combine the best of Hadoop and parallel databases to achieve dramatic performance improvements in data analytics tasks. </b><br/><i>language</i>: <b></b><br/><i>license</i>: <b></b><br/><i>publisher</i>: <b></b><br/><i>resourceType</i>: <b></b><br/><i>rightsHolder</i>: <b></b><br/><i>tags</i>: <b>hadoop rdf link_mining </b><br/><i>title</i>: <b>Recap: Improving Hadoop Performance by (up to) 1000x | LinkedIn Engineering</b><br/>