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		<title>Dirty Data – Preventing the Pollution of Your IoT Data Lake</title>
		<link>https://www.iot-inc.com/dirty-data-preventing-iot-data-lake-pollution-podcast/</link>
		
		<dc:creator><![CDATA[Jane A]]></dc:creator>
		<pubDate>Fri, 26 May 2017 09:06:29 +0000</pubDate>
				<category><![CDATA[1. IOT COMPONENTS]]></category>
		<category><![CDATA[2. SERVICE PROVIDERS]]></category>
		<category><![CDATA[4. MARKET]]></category>
		<category><![CDATA[COMMERCIAL IOT]]></category>
		<category><![CDATA[CONSUMER IOT]]></category>
		<category><![CDATA[Data]]></category>
		<category><![CDATA[Design House]]></category>
		<category><![CDATA[INDUSTRIAL IOT]]></category>
		<category><![CDATA[INFRASTRUCTURE IOT]]></category>
		<category><![CDATA[MEDIA]]></category>
		<category><![CDATA[Season 1 Podcasts]]></category>
		<category><![CDATA[System Integrator]]></category>
		<category><![CDATA[Bright Wolf]]></category>
		<category><![CDATA[Data lake]]></category>
		<category><![CDATA[Metadata]]></category>
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					<description><![CDATA[<p><img src="https://www.iot-inc.com/wp-content/uploads/2017/05/dirty-data-preventing-iot-data-lake-pollution-imageL.png"></p>
<h2>Episode 80</h2>
<p>We’ve all heard it before: garbage in – garbage out.  This is especially problematic with IoT data where dirty data, data that is well formed but wrong, can cause a butterfly effect chain reaction, polluting the data lake, resulting in bad decisions and bad business.<br />
<br />Listen to this podcast (or read the transcript) with James Branigan about what bad data is, how to identify it, stop it and then deal with the aftermath </p>
<p>The post <a rel="nofollow" href="https://www.iot-inc.com/dirty-data-preventing-iot-data-lake-pollution-podcast/">Dirty Data – Preventing the Pollution of Your IoT Data Lake</a> appeared first on <a rel="nofollow" href="https://www.iot-inc.com"></a>.</p>
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