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	<title>big data &#8211; Cincy Link</title>
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	<title>big data &#8211; Cincy Link</title>
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		<title>Cincinnati Go Meetup &#8212; Pilosa</title>
		<link>https://cincylink.com/2020/04/20/cincinnati-go-meetup-pilosa/</link>
					<comments>https://cincylink.com/2020/04/20/cincinnati-go-meetup-pilosa/#comments</comments>
		
		<dc:creator><![CDATA[cincylink]]></dc:creator>
		<pubDate>Mon, 20 Apr 2020 18:00:06 +0000</pubDate>
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		<guid isPermaLink="false">https://cincylink.com/?p=13144</guid>

					<description><![CDATA[This talk will cover Pilosa - a high performance, distributed bitmap index written in Go. Bitmap indexes are widely used inside various data systems to power difficult analytical queries; while conceptually simple, research and improvements into storing and computing over bitmaps has continued unabated for decades. Pilosa leverages the latest and most successful bitmap techniques &#8230;]]></description>
										<content:encoded><![CDATA[<p><iframe  width="580" height="385" src="https://www.youtube.com/embed/u_JXwQbe_2A?rel=0&autoplay=1&autoplay=1&modestbranding=1" frameborder="0" allowfullscreen></iframe><br />
<br />This talk will cover Pilosa - a high performance, distributed bitmap index written in Go.  Bitmap indexes are widely used inside various data systems to power difficult analytical queries; while conceptually simple, research and improvements into storing and computing over bitmaps has continued unabated for decades. Pilosa leverages the latest and most successful bitmap techniques to power a distributed data indexing system that excels at a variety of analytical workloads while consuming less space and memory than many similar systems. We'll take a look at how Pilosa uses distributed bitmaps to support multi-field GROUP BY queries and very complex WHERE clauses over billions of records with sub-second query performance. Perhaps more importantly, we'll discuss how Go has enabled us to productively develop this technology and deploy it in various production systems.</p>
<p>Unfortunately, the view of the audience was recorded rather than the slides and speaker. The slides however are available here:<br />
<br /><a href="https://www.youtube.com/watch?v=u_JXwQbe_2A">source</a></p>
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		<title>Microsoft&#039;s plan to store data for 10,000 years</title>
		<link>https://cincylink.com/2020/01/31/microsofts-plan-to-store-data-for-10000-years/</link>
					<comments>https://cincylink.com/2020/01/31/microsofts-plan-to-store-data-for-10000-years/#respond</comments>
		
		<dc:creator><![CDATA[cincylink]]></dc:creator>
		<pubDate>Fri, 31 Jan 2020 13:00:11 +0000</pubDate>
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		<guid isPermaLink="false">https://cincylink.com/microsofts-plan-to-store-data-for-10000-years/</guid>

					<description><![CDATA[Microsoft's Project Silica aims to show that glass is the future of long-term data storage. To prove its usefulness outside the lab, Microsoft partnered with Warner Bros. to write the 1978 Superman film into glass with lasers. To see the whole process and the Superman glass, we visited Microsoft's Research Lab in Cambridge, England and &#8230;]]></description>
										<content:encoded><![CDATA[<p><iframe loading="lazy"  width="580" height="385" src="https://www.youtube.com/embed/fzWbnXHEydU?rel=0&modestbranding=1" frameborder="0" allowfullscreen></iframe><br />
<br />Microsoft's Project Silica aims to show that glass is the future of long-term data storage. To prove its usefulness outside the lab, Microsoft partnered with Warner Bros. to write the 1978 Superman film into glass with lasers. To see the whole process and the Superman glass, we visited Microsoft's Research Lab in Cambridge, England and Warner Bros. Studios in Burbank, California.</p>
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<p>#Microsoft #ProjectSilica #Data<br />
<br /><a href="https://www.youtube.com/watch?v=fzWbnXHEydU">source</a></p>
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