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	<title>CloverETL&#039;s Blog on Data Integration &#187; CloverETL</title>
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	<link>http://blog.cloveretl.com</link>
	<description>CloverETL tips and advice from data integration experts</description>
	<lastBuildDate>Tue, 31 Jan 2012 08:32:27 +0000</lastBuildDate>
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		<title>CloverETL Visions for 2012: Evolution and Revolution in Data Integration</title>
		<link>http://blog.cloveretl.com/visions-for-2012-cloveretl-and-data-integration?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=visions-for-2012-cloveretl-and-data-integration</link>
		<comments>http://blog.cloveretl.com/visions-for-2012-cloveretl-and-data-integration#comments</comments>
		<pubDate>Tue, 03 Jan 2012 10:04:14 +0000</pubDate>
		<dc:creator>David Pavlis</dc:creator>
				<category><![CDATA[Others]]></category>
		<category><![CDATA[BigData]]></category>
		<category><![CDATA[cloud data integration]]></category>
		<category><![CDATA[CloverETL]]></category>
		<category><![CDATA[CloverETL Designer]]></category>
		<category><![CDATA[CloverETL Server]]></category>
		<category><![CDATA[data integration]]></category>
		<category><![CDATA[Hadoop]]></category>

		<guid isPermaLink="false">http://blog.cloveretl.com/?p=1393</guid>
		<description><![CDATA[Part one &#8211; celebrating 10 years In 2012, CloverETL will celebrate its 10th anniversary as an open source project. It all started back in 2002. On October 3rd, 2002, version 0.1 was first announced on the Freshmeat (now Freecode) portal. &#8230; <a href="http://blog.cloveretl.com/visions-for-2012-cloveretl-and-data-integration">Continue reading <span class="meta-nav">&#8594;</span></a>]]></description>
		<wfw:commentRss>http://blog.cloveretl.com/visions-for-2012-cloveretl-and-data-integration/feed</wfw:commentRss>
		<slash:comments>0</slash:comments>
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		<item>
		<title>A Look Back: CloverETL and Data Integration in 2011</title>
		<link>http://blog.cloveretl.com/a-look-back-cloveretl-and-data-integration-in-2011?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=a-look-back-cloveretl-and-data-integration-in-2011</link>
		<comments>http://blog.cloveretl.com/a-look-back-cloveretl-and-data-integration-in-2011#comments</comments>
		<pubDate>Thu, 22 Dec 2011 09:27:15 +0000</pubDate>
		<dc:creator>Jan Tichy</dc:creator>
				<category><![CDATA[Others]]></category>
		<category><![CDATA[CloverETL]]></category>
		<category><![CDATA[CloverETL Designer]]></category>
		<category><![CDATA[CloverETL Profiler]]></category>
		<category><![CDATA[data integration]]></category>
		<category><![CDATA[data quality]]></category>
		<category><![CDATA[OEM data integration]]></category>

		<guid isPermaLink="false">http://blog.cloveretl.com/?p=1387</guid>
		<description><![CDATA[As 2011 comes to a close, we’d like to take the time to reflect on what this year has brought CloverETL, its users, and our customers. Since CloverETL is, after all, a data integration platform, the world of integration is &#8230; <a href="http://blog.cloveretl.com/a-look-back-cloveretl-and-data-integration-in-2011">Continue reading <span class="meta-nav">&#8594;</span></a>]]></description>
		<wfw:commentRss>http://blog.cloveretl.com/a-look-back-cloveretl-and-data-integration-in-2011/feed</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Building Data Warehouse with CloverETL: Slowly Changing Dimension Type 2</title>
		<link>http://blog.cloveretl.com/building-data-warehouse-scd2?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=building-data-warehouse-scd2</link>
		<comments>http://blog.cloveretl.com/building-data-warehouse-scd2#comments</comments>
		<pubDate>Thu, 27 May 2010 01:39:40 +0000</pubDate>
		<dc:creator>Petr Uher</dc:creator>
				<category><![CDATA[Using CloverETL]]></category>
		<category><![CDATA[CloverETL]]></category>
		<category><![CDATA[data warehousing]]></category>
		<category><![CDATA[ETL]]></category>
		<category><![CDATA[scd2]]></category>
		<category><![CDATA[slowly changing dimension]]></category>

		<guid isPermaLink="false">http://blog.cloveretl.com/?p=668</guid>
		<description><![CDATA[In the last part of our data warehouse (DWH) tutorial, I showed you how to load a dimension table that stores historical data according to the Slowly Changing Dimension Type 1 (SCD1). In today’s post, I will focus on a &#8230; <a href="http://blog.cloveretl.com/building-data-warehouse-scd2">Continue reading <span class="meta-nav">&#8594;</span></a>]]></description>
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		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Loop Execution of Data Transformation</title>
		<link>http://blog.cloveretl.com/loop-execution-of-data-transformation?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=loop-execution-of-data-transformation</link>
		<comments>http://blog.cloveretl.com/loop-execution-of-data-transformation#comments</comments>
		<pubDate>Wed, 28 Apr 2010 15:05:56 +0000</pubDate>
		<dc:creator>mvarecha</dc:creator>
				<category><![CDATA[Using CloverETL]]></category>
		<category><![CDATA[CloverETL]]></category>
		<category><![CDATA[CloverETL Server]]></category>
		<category><![CDATA[data transformation]]></category>
		<category><![CDATA[groovy]]></category>
		<category><![CDATA[listener]]></category>
		<category><![CDATA[SOA]]></category>
		<category><![CDATA[soap]]></category>
		<category><![CDATA[webservice]]></category>

		<guid isPermaLink="false">http://blog.cloveretl.com/?p=627</guid>
		<description><![CDATA[Case study description Czech Insolvency Registry (http://isir.justice.cz) basically contains data about economic subjects that entered insolvency and have financial difficulties with paying off their debts. The registry allows everybody to download data using public SOAP Web Service. It can be &#8230; <a href="http://blog.cloveretl.com/loop-execution-of-data-transformation">Continue reading <span class="meta-nav">&#8594;</span></a>]]></description>
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		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Accessing Files with New File URL Dialog</title>
		<link>http://blog.cloveretl.com/cloveretl-file-url-dialog?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=cloveretl-file-url-dialog</link>
		<comments>http://blog.cloveretl.com/cloveretl-file-url-dialog#comments</comments>
		<pubDate>Wed, 24 Feb 2010 15:36:22 +0000</pubDate>
		<dc:creator>jausperger</dc:creator>
				<category><![CDATA[Using CloverETL]]></category>
		<category><![CDATA[CloverETL]]></category>
		<category><![CDATA[file]]></category>
		<category><![CDATA[ftp]]></category>
		<category><![CDATA[ftps]]></category>
		<category><![CDATA[http]]></category>
		<category><![CDATA[sftp]]></category>
		<category><![CDATA[url]]></category>
		<category><![CDATA[User Interface]]></category>

		<guid isPermaLink="false">http://blog.cloveretl.com/?p=447</guid>
		<description><![CDATA[The CloverETL Designer has a brand new File URL Dialog, which was introduced in the version 2.9. The newly designed file dialog is very friendly and intuitive to navigate. There are a lot of new features and improvements. The dialog &#8230; <a href="http://blog.cloveretl.com/cloveretl-file-url-dialog">Continue reading <span class="meta-nav">&#8594;</span></a>]]></description>
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		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Writing to Infobright Database</title>
		<link>http://blog.cloveretl.com/writing-to-infobright-database?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=writing-to-infobright-database</link>
		<comments>http://blog.cloveretl.com/writing-to-infobright-database#comments</comments>
		<pubDate>Wed, 03 Feb 2010 08:40:50 +0000</pubDate>
		<dc:creator>Agata Vackova</dc:creator>
				<category><![CDATA[Using CloverETL]]></category>
		<category><![CDATA[CloverETL]]></category>
		<category><![CDATA[connectivity]]></category>
		<category><![CDATA[database]]></category>
		<category><![CDATA[Infobright]]></category>

		<guid isPermaLink="false">http://blog.cloveretl.com/?p=376</guid>
		<description><![CDATA[In response to customer requests we created a new component that writes data into Infobright software, a very popular column-oriented relational database. The CloverETL’s just released version 2.9 offers this new InfobrightDataWriter component. Infobright is a highly compressed column-oriented database, &#8230; <a href="http://blog.cloveretl.com/writing-to-infobright-database">Continue reading <span class="meta-nav">&#8594;</span></a>]]></description>
		<wfw:commentRss>http://blog.cloveretl.com/writing-to-infobright-database/feed</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Iteration through the Record Fields in CTL</title>
		<link>http://blog.cloveretl.com/iteration-through-the-record-fields-in-ctl?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=iteration-through-the-record-fields-in-ctl</link>
		<comments>http://blog.cloveretl.com/iteration-through-the-record-fields-in-ctl#comments</comments>
		<pubDate>Mon, 25 Jan 2010 09:52:19 +0000</pubDate>
		<dc:creator>Vaclav Matous</dc:creator>
				<category><![CDATA[Using CloverETL]]></category>
		<category><![CDATA[CloverETL]]></category>
		<category><![CDATA[CTL]]></category>
		<category><![CDATA[data transformation]]></category>

		<guid isPermaLink="false">http://blog.cloveretl.com/?p=368</guid>
		<description><![CDATA[Note: this post relates to CloverETL 2.x version with CTL version 1. Starting with CloverETL 3.x , CTL version 2 was introduced which has a bit different syntax. However you can still use CTL 1 in transformations &#8211; see CTL1 &#8230; <a href="http://blog.cloveretl.com/iteration-through-the-record-fields-in-ctl">Continue reading <span class="meta-nav">&#8594;</span></a>]]></description>
		<wfw:commentRss>http://blog.cloveretl.com/iteration-through-the-record-fields-in-ctl/feed</wfw:commentRss>
		<slash:comments>1</slash:comments>
		</item>
		<item>
		<title>DataDirect&#8217;s OracleDB JDBC Driver Speed Test</title>
		<link>http://blog.cloveretl.com/data-direct-oracle-driver-speed-test?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=data-direct-oracle-driver-speed-test</link>
		<comments>http://blog.cloveretl.com/data-direct-oracle-driver-speed-test#comments</comments>
		<pubDate>Tue, 12 Jan 2010 12:39:36 +0000</pubDate>
		<dc:creator>Agata Vackova</dc:creator>
				<category><![CDATA[Using CloverETL]]></category>
		<category><![CDATA[bulkloader]]></category>
		<category><![CDATA[CloverETL]]></category>
		<category><![CDATA[connectivity]]></category>
		<category><![CDATA[DataDirect]]></category>
		<category><![CDATA[jdbc]]></category>
		<category><![CDATA[oracle]]></category>
		<category><![CDATA[performance]]></category>
		<category><![CDATA[sqlldr]]></category>

		<guid isPermaLink="false">http://blog.cloveretl.com/?p=345</guid>
		<description><![CDATA[Purpose Compare the speed of data loading into Oracle database (Oracle Database 11g Release 11.1.0.6.0 – Enterprise Edition) with Oracle corp. JDBC driver, DataDirect JDBC Oracle driver and direct data loading (OracleDataWriter component – sqlldr utility) in CloverETL. &#160; Test &#8230; <a href="http://blog.cloveretl.com/data-direct-oracle-driver-speed-test">Continue reading <span class="meta-nav">&#8594;</span></a>]]></description>
		<wfw:commentRss>http://blog.cloveretl.com/data-direct-oracle-driver-speed-test/feed</wfw:commentRss>
		<slash:comments>1</slash:comments>
		</item>
		<item>
		<title>Cloud Data Integration with CloverETL Cluster</title>
		<link>http://blog.cloveretl.com/cloud-data-integration-with-cloveretl-cluster?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=cloud-data-integration-with-cloveretl-cluster</link>
		<comments>http://blog.cloveretl.com/cloud-data-integration-with-cloveretl-cluster#comments</comments>
		<pubDate>Fri, 18 Dec 2009 15:54:59 +0000</pubDate>
		<dc:creator>Lucie Felixova</dc:creator>
				<category><![CDATA[Using CloverETL]]></category>
		<category><![CDATA[Amazon EC2]]></category>
		<category><![CDATA[cloud data integration]]></category>
		<category><![CDATA[CloverETL]]></category>
		<category><![CDATA[cluster]]></category>
		<category><![CDATA[data transformation]]></category>
		<category><![CDATA[parallel processing]]></category>

		<guid isPermaLink="false">http://blog.cloveretl.com/?p=338</guid>
		<description><![CDATA[On December 9, 2009 CloverETL Cluster Edition was launched at PriceWaterhouseCoopers premises. CloverETL Cluster intelligently partitions data and distributes them evenly across multiple nodes in a cluster for execution in parallel. CloverETL Cluster’s ability to load balance large data transformations &#8230; <a href="http://blog.cloveretl.com/cloud-data-integration-with-cloveretl-cluster">Continue reading <span class="meta-nav">&#8594;</span></a>]]></description>
		<wfw:commentRss>http://blog.cloveretl.com/cloud-data-integration-with-cloveretl-cluster/feed</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Parallel Data Processing Comparison – CloverETL vs. Talend vs. Pentaho (Part 3)</title>
		<link>http://blog.cloveretl.com/parallel-data-processing-comparison-cloveretl-talend-pentaho-3?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=parallel-data-processing-comparison-cloveretl-talend-pentaho-3</link>
		<comments>http://blog.cloveretl.com/parallel-data-processing-comparison-cloveretl-talend-pentaho-3#comments</comments>
		<pubDate>Wed, 09 Dec 2009 15:09:09 +0000</pubDate>
		<dc:creator>Petr Uher</dc:creator>
				<category><![CDATA[Using CloverETL]]></category>
		<category><![CDATA[CloverETL]]></category>
		<category><![CDATA[CSV]]></category>
		<category><![CDATA[delimited data]]></category>
		<category><![CDATA[ETL]]></category>
		<category><![CDATA[ETL comparison]]></category>
		<category><![CDATA[ETL tool]]></category>
		<category><![CDATA[parallel processing]]></category>
		<category><![CDATA[pentaho]]></category>
		<category><![CDATA[performance]]></category>
		<category><![CDATA[talend]]></category>

		<guid isPermaLink="false">http://blog.cloveretl.com/?p=319</guid>
		<description><![CDATA[Performance comparison of reading/parsing CSV data and performing transformation operations like joining, filtering, aggregating. Compared are CloverETL, Pentaho, Talend. <a href="http://blog.cloveretl.com/parallel-data-processing-comparison-cloveretl-talend-pentaho-3">Continue reading <span class="meta-nav">&#8594;</span></a>]]></description>
		<wfw:commentRss>http://blog.cloveretl.com/parallel-data-processing-comparison-cloveretl-talend-pentaho-3/feed</wfw:commentRss>
		<slash:comments>2</slash:comments>
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