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<title>Lightwolf Technologies</title>
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<description><![CDATA[Lightwolf RSS2 Feed]]></description>
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<pubDate>Tue, 07 Feb 2012 01:52:13 +0000</pubDate>
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<title>Beyond Transactional Consistency</title>
<link>index.php?page=blog&amp;blogid=772</link>
<pubDate>Wed, 28 Jul 2010 12:11:38 +0000</pubDate>
<description><![CDATA[Software has been growing organically for years, now it's time to scale it.]]></description>
<author>Esmeralda Swartz</author>
</item>
<item>
<title>Evolution of Parallelism: Part 2</title>
<link>index.php?page=blog&amp;blogid=157</link>
<pubDate>Tue, 08 Jun 2010 11:01:57 +0000</pubDate>
<description><![CDATA[New query planning and optimization techniques are needed to deal with distributed, independent and heterogeneuos data sources.]]></description>
<author>Esmeralda Swartz</author>
</item>
<item>
<title>The Evolution of Parallelism: Part&amp;nbsp;1</title>
<link>index.php?page=blog&amp;blogid=148</link>
<pubDate>Fri, 04 Jun 2010 11:52:24 +0000</pubDate>
<description><![CDATA[The amount of digital information created and replicated in the world will grow to an almost inconceivable 35 trillion gigabytes by 2020.  New tools are needed to manage and analyze the vast amounts of data.]]></description>
<author>Esmeralda Swartz</author>
</item>
<item>
<title>Sharding for Business Intelligence</title>
<link>index.php?page=blog&amp;blogid=101</link>
<pubDate>Mon, 17 May 2010 11:38:51 +0000</pubDate>
<description><![CDATA[BI applications are becoming increasingly interactive, both in the number of users running real time queries on the data set, and the need for the data set to receive real-time updates on business operations.]]></description>
<author>Esmeralda Swartz</author>
</item>
<item>
<title>Sharding for Web 2.0</title>
<link>index.php?page=blog&amp;blogid=98</link>
<pubDate>Mon, 17 May 2010 11:25:49 +0000</pubDate>
<description><![CDATA[How do you shard applications in Web 2.0 environment?]]></description>
<author>Esmeralda Swartz</author>
</item>
<item>
<title>Sharding for SaaS</title>
<link>index.php?page=blog&amp;blogid=95</link>
<pubDate>Mon, 17 May 2010 11:17:49 +0000</pubDate>
<description><![CDATA[The data usage pattern of a typical SaaS application demonstrates two different patterns of access.  The first usage pattern has application specific data which is global across all customers. The second data usage pattern is segmented by unique customer identifier.]]></description>
<author>Esmeralda Swartz</author>
</item>
<item>
<title>Sharding for Success</title>
<link>index.php?page=blog&amp;blogid=90</link>
<pubDate>Fri, 14 May 2010 11:29:59 +0000</pubDate>
<description><![CDATA[ The nature of today's applications requires that sharding be considered a key component of any scaling architecture with a view to success.  ]]></description>
<author>Esmeralda Swartz</author>
</item>
<item>
<title>Hadoop: Not as Easy to Use as a Plush Toy Elephant </title>
<link>index.php?page=blog&amp;blogid=82</link>
<pubDate>Thu, 22 Apr 2010 17:21:53 +0000</pubDate>
<description><![CDATA[The current state-of the-art in MapReduce parallelism is far from being turnkey.]]></description>
<author>Esmeralda Swartz</author>
</item>
<item>
<title>Musings from the 5th Cloud Computing Expo NY </title>
<link>index.php?page=blog&amp;blogid=78</link>
<pubDate>Wed, 21 Apr 2010 16:22:30 +0000</pubDate>
<description><![CDATA[The business model for computing and storage in both private and public clouds has been validated in the form of the commodity server building block, but there is much to be done in the application area.]]></description>
<author>Esmeralda Swartz</author>
</item>
<item>
<title>Big Data, How Much?</title>
<link>index.php?page=blog&amp;blogid=26</link>
<pubDate>Thu, 01 Apr 2010 16:48:32 +0000</pubDate>
<description><![CDATA[The massive data sets in common use today can only be effectively handled with distributed data processing techniques. ]]></description>
<author>Esmeralda Swartz</author>
</item>
<item>
<title>Big Data and Cloud Techniques </title>
<link>index.php?page=blog&amp;blogid=23</link>
<pubDate>Thu, 01 Apr 2010 03:30:10 +0000</pubDate>
<description><![CDATA[Technologies such as MapReduce are useful tools to parallelize large scale data analysis and point to the right technology direction, but limitations must be well understood. ]]></description>
<author>Esmeralda Swartz</author>
</item>
<item>
<title>Changing Face of Business Intelligence </title>
<link>index.php?page=blog&amp;blogid=20</link>
<pubDate>Tue, 30 Mar 2010 19:30:04 +0000</pubDate>
<description><![CDATA[The transition of BI from an offline batch activity to an online interactive activity will change the face of BI databases.]]></description>
<author>Esmeralda Swartz</author>
</item>
<item>
<title>The Genie is Out of the Bottle </title>
<link>index.php?page=blog&amp;blogid=17</link>
<pubDate>Fri, 23 Oct 2009 18:45:38 +0000</pubDate>
<description><![CDATA[The cloud will completely re-shape the hardware and software ecosystems for the enterprise.]]></description>
<author>Esmeralda Swartz</author>
</item>
<item>
<title>A Tale of Two Camps </title>
<link>index.php?page=blog&amp;blogid=13</link>
<pubDate>Sun, 18 Oct 2009 20:59:09 +0000</pubDate>
<description><![CDATA[Distributed environments (i.e. the cloud) bring unique challenges that are not suited to the traditional SQL database.]]></description>
<author>Esmeralda Swartz</author>
</item>
<item>
<title>Compatibility with Enterprise IT </title>
<link>index.php?page=blog&amp;blogid=8</link>
<pubDate>Sat, 12 Sep 2009 22:42:40 +0000</pubDate>
<description><![CDATA[Database solutions need to support Enterprise IT pattern of use while providing access to cloud computing resources.]]></description>
<author>Esmeralda Swartz</author>
</item>
<item>
<title>Why Does the Public Cloud Look Like it Does?</title>
<link>index.php?page=blog&amp;blogid=4</link>
<pubDate>Fri, 11 Sep 2009 21:30:23 +0000</pubDate>
<description><![CDATA[Massive scale out architectures cannot abandon Enterprise IT fundamentals.]]></description>
<author>Esmeralda Swartz</author>
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