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 <title>Crunching Big Data with Java</title>
 <link>http://jimfalgout.sys-con.com/node/523054</link>
 <description>I target customers who have large data processing needs. These come in various forms, but generically look like this: the customer gets huge data drops in some form or another and must process the data and output results in a very specific time frame. The customer has written some scripts, maybe some code and SQL. They have attempted some optimizations that helped a little, but they&#039;re not meeting their timeline.&lt;p&gt;&lt;a href=&quot;http://jimfalgout.sys-con.com/node/523054&quot; target=&quot;_blank&quot;&gt;read more&lt;/a&gt;&lt;/p&gt;</description>
 <pubDate>Sun, 30 Mar 2008 04:00:00 EDT</pubDate>
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 <title>It&#039;s a Multi-Core World: Let the Data Flow</title>
 <link>http://jimfalgout.sys-con.com/node/419717</link>
 <description>The multi-core buzz is everywhere. Pick up a newspaper and the local electronics mega-store is advertising multi-core desktops and laptops to the consumer. Interesting, but what does it mean to the everyday Java programmer? Maybe nothing. If you live in the application server world writing EJB-based applications your application server does most of the heavy lifting for you. It handles concurrency just fine. But that doesn&#039;t cover all applications. Multi-core technology will especially affect applications that must process large amounts of data in a non-transactional (outside of a database context) manner. For this class of applications, the implications of multi-core are huge.&lt;p&gt;&lt;a href=&quot;http://jimfalgout.sys-con.com/node/419717&quot; target=&quot;_blank&quot;&gt;read more&lt;/a&gt;&lt;/p&gt;</description>
 <pubDate>Sun, 26 Aug 2007 12:00:00 EDT</pubDate>
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