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	<title>Comments on: Mr. Heisenberg meets #BigData?</title>
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	<link>http://fredmcclimans.com/2012/05/15/mr-heisenberg-meets-bigdata/</link>
	<description>analysis - innovation - execution</description>
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		<title>By: Fred McClimans</title>
		<link>http://fredmcclimans.com/2012/05/15/mr-heisenberg-meets-bigdata/#comment-423</link>
		<dc:creator><![CDATA[Fred McClimans]]></dc:creator>
		<pubDate>Tue, 03 Jul 2012 03:13:00 +0000</pubDate>
		<guid isPermaLink="false">http://fredmcclimans.com/?p=982#comment-423</guid>
		<description><![CDATA[Hey Colin - Thanks for bringing up the meme concept. You are definitely on to something there. I think the key to finding/interpreting the &quot;old data/new memes&quot; is in varying the perspective. In that sense, old data never dies, it just waits for a new perspective to arrive. Moving forward, I&#039;m very curious how much information will, by default, get bundled into super-memes out of necessity, and if we will lose a bit of insight into the data (and its then-current application) or if this will actually simplify things - complex data &gt; simple memes. I&#039;d welcome your thoughts.]]></description>
		<content:encoded><![CDATA[<p>Hey Colin &#8211; Thanks for bringing up the meme concept. You are definitely on to something there. I think the key to finding/interpreting the &#8220;old data/new memes&#8221; is in varying the perspective. In that sense, old data never dies, it just waits for a new perspective to arrive. Moving forward, I&#8217;m very curious how much information will, by default, get bundled into super-memes out of necessity, and if we will lose a bit of insight into the data (and its then-current application) or if this will actually simplify things &#8211; complex data &gt; simple memes. I&#8217;d welcome your thoughts.</p>
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		<title>By: Fred McClimans</title>
		<link>http://fredmcclimans.com/2012/05/15/mr-heisenberg-meets-bigdata/#comment-422</link>
		<dc:creator><![CDATA[Fred McClimans]]></dc:creator>
		<pubDate>Tue, 03 Jul 2012 03:09:00 +0000</pubDate>
		<guid isPermaLink="false">http://fredmcclimans.com/?p=982#comment-422</guid>
		<description><![CDATA[Thanks for the feedback and the link. Yes, CEP fits into this model, with the use of a rule-based decision engine as the EDA (to handle semantic structures, classification, linkages between events/trends, etc.). Not an easy task, and deeper than I can dive ;) But well worth the effort!]]></description>
		<content:encoded><![CDATA[<p>Thanks for the feedback and the link. Yes, CEP fits into this model, with the use of a rule-based decision engine as the EDA (to handle semantic structures, classification, linkages between events/trends, etc.). Not an easy task, and deeper than I can dive <img src="http://fredmcclimans.com/wp-includes/images/smilies/icon_wink.gif" alt=";)" class="wp-smiley" /> But well worth the effort!</p>
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		<title>By: CHopeMurray</title>
		<link>http://fredmcclimans.com/2012/05/15/mr-heisenberg-meets-bigdata/#comment-402</link>
		<dc:creator><![CDATA[CHopeMurray]]></dc:creator>
		<pubDate>Wed, 23 May 2012 12:54:00 +0000</pubDate>
		<guid isPermaLink="false">http://fredmcclimans.com/?p=982#comment-402</guid>
		<description><![CDATA[I agree the Heisenberg Uncertainty Principle appropriately describes Big Data. Your observation definitely challenges us to step back and view events and information less discretely in order to detect context and patterns.  I also agree that old information never dies as it can reveal long term trends.  However I believe it has more value than just a data point in an unknown number of trend cycles.  I see old information as a meme, or thought, waiting to be rediscovered either individually or as part of the previously noted pattern.  An item of information is a meme or set of memes packaged for consumption , so old data can always be relevant they just require the efforts of the perceptive and diligent to see the thought(s) behind the wrapper.]]></description>
		<content:encoded><![CDATA[<p>I agree the Heisenberg Uncertainty Principle appropriately describes Big Data. Your observation definitely challenges us to step back and view events and information less discretely in order to detect context and patterns.  I also agree that old information never dies as it can reveal long term trends.  However I believe it has more value than just a data point in an unknown number of trend cycles.  I see old information as a meme, or thought, waiting to be rediscovered either individually or as part of the previously noted pattern.  An item of information is a meme or set of memes packaged for consumption , so old data can always be relevant they just require the efforts of the perceptive and diligent to see the thought(s) behind the wrapper.</p>
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		<title>By: Philip Sheldrake</title>
		<link>http://fredmcclimans.com/2012/05/15/mr-heisenberg-meets-bigdata/#comment-399</link>
		<dc:creator><![CDATA[Philip Sheldrake]]></dc:creator>
		<pubDate>Wed, 16 May 2012 16:05:00 +0000</pubDate>
		<guid isPermaLink="false">http://fredmcclimans.com/?p=982#comment-399</guid>
		<description><![CDATA[Thanks for the good read Fred. I think you&#039;re touching on real-time complex event processing here (eg, http://www.oracle.com/technetwork/middleware/complex-event-processing/overview/index.html ) ]]></description>
		<content:encoded><![CDATA[<p>Thanks for the good read Fred. I think you&#8217;re touching on real-time complex event processing here (eg, <a href="http://www.oracle.com/technetwork/middleware/complex-event-processing/overview/index.html" rel="nofollow">http://www.oracle.com/technetwork/middleware/complex-event-processing/overview/index.html</a> ) </p>
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