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	<title>Comment Feed for Channel 9 - Big Data, Big deal</title>
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		<title>Channel 9 - Big Data, Big deal</title>
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	<description>Are you ready for the exploding world of big data? Do you know the difference between Hive and Pig? Do you know why MapReduce is being taught in many universities rather than SQL? If not, pay attention because this talk will help get you started in understanding this new world. While sometimes the Hadoop toolkit (which includes HDFS, MapReduce, Hive, Pig, and Sqoop) is used as an alternative to relational database systems such as SQL Server, more frequently customers are using it as a complementary tool. Sometimes it may be used as an ETL tool or to perform an initial analysis of a freshly acquired data set to determine whether or not it is worth loading into the data warehouse, and sometimes to process massive data sets that are too big to even contemplate loading into all but the very largest data warehouses. In addition to covering the basics of the various parts of the Hadoop stack, this talk will discuss the strengths and weakness of the Hadoop approach compared to that provided by relational database systems and explores how the two technologies can be used productively in conjunction with one another. </description>
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	<pubDate>Thu, 20 Jun 2013 00:54:41 GMT</pubDate>
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		<title>Re: Big Data, Big deal</title>
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			<![CDATA[<p>Interesting talk on the paradigm shift in dealing with big data.</p><p>My&nbsp;partial time annotations&nbsp;in mmss (MinutesSeconds) format are:</p><p>315 some big data stats</p><p>410 amount of data will increase by a factor of 35 to 40 by 2020</p><p>450 the data deluge, G20 interest into big data</p><p>504 why the sudden explosion of interest in big data?</p><p>650 data is not thrown anymore &#43; trend to analyse social network sentiment data</p><p>730 cost of data storage is down</p><p>755 managing &quot;big data&quot;: parallel DB vs NoSQL system</p><p>845 Bing statistics</p><p>900 NoSQL discussion</p><p>957 why NoSQL (Not only SQL)?</p><p>1140 NoSQL is driven by developers</p><p>1220 Reducing time to insight explains interest into NoSQL</p><p>1315 NoSQL vs. SQL approach = agile vs. not</p><p>1325 NoSQL approach</p><p>1405 2 types of NoSQL systems: &nbsp;&nbsp;</p><p>1. key/value: Mongo DB, Couch DB, Cassandra, Azure tables &nbsp;&nbsp;</p><p>2. 1525 Hadoop = distributed execution framework &amp; file system</p><p>1625 Two universes of data: structured and not</p><p>1705 paradigm shift from SQL</p><p>1840 what is Hadoop?</p><p>posted by George_Curelet_Balan</p>]]>
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		<pubDate>Fri, 09 Mar 2012 19:29:42 GMT</pubDate>
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		<dc:creator>George_Curelet_Balan</dc:creator>
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		<title>Re: Big Data, Big deal</title>
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			<![CDATA[<p>Is this video going to be put up on C9?&nbsp;</p><p>&nbsp;</p><p>posted by gprasant</p>]]>
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		<link>http://channel9.msdn.com/Events/TechDays/Techdays-2012-the-Netherlands/2266#c634773621410856627</link>
		<pubDate>Sun, 08 Jul 2012 16:35:41 GMT</pubDate>
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		<dc:creator>gprasant</dc:creator>
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