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	<title>Informatica Perspectives » Telecommunications</title>
	
	<link>http://blogs.informatica.com/perspectives</link>
	<description>The Data Integration Blog</description>
	<lastBuildDate>Mon, 21 May 2012 07:33:03 +0000</lastBuildDate>
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		<title>Remote Data Collection and Transformation – with Ultra Messaging Cache Option and B2B Data Transformation</title>
		<link>http://blogs.informatica.com/perspectives/2012/03/01/remote-data-collection-and-transformation-with-ultra-messaging-cache-option-and-b2b-data-transformation/?utm_source=rss&amp;utm_medium=rss&amp;utm_campaign=remote-data-collection-and-transformation-with-ultra-messaging-cache-option-and-b2b-data-transformation</link>
		<comments>http://blogs.informatica.com/perspectives/2012/03/01/remote-data-collection-and-transformation-with-ultra-messaging-cache-option-and-b2b-data-transformation/#comments</comments>
		<pubDate>Thu, 01 Mar 2012 16:19:10 +0000</pubDate>
		<dc:creator>Jeff Brokaw</dc:creator>
				<category><![CDATA[B2B]]></category>
		<category><![CDATA[Big Data]]></category>
		<category><![CDATA[Data Aggregation]]></category>
		<category><![CDATA[Data Transformation]]></category>
		<category><![CDATA[Financial Services]]></category>
		<category><![CDATA[Healthcare]]></category>
		<category><![CDATA[Public Sector]]></category>
		<category><![CDATA[Telecommunications]]></category>
		<category><![CDATA[Ultra Messaging]]></category>
		<category><![CDATA[high performance]]></category>
		<category><![CDATA[high throughput messaging]]></category>
		<category><![CDATA[JMS API]]></category>
		<category><![CDATA[low latency messaging]]></category>
		<category><![CDATA[remote data collection]]></category>
		<category><![CDATA[scalability]]></category>
		<category><![CDATA[throughput]]></category>
		<category><![CDATA[Ultra Messaging Cache Option]]></category>

		<guid isPermaLink="false">http://blogs.informatica.com/perspectives/?p=9006</guid>
		<description><![CDATA[We are using very old technology to tackle a very new problem. There <em>must</em> be a better way.<br /> <a href="http://blogs.informatica.com/perspectives/2012/03/01/remote-data-collection-and-transformation-with-ultra-messaging-cache-option-and-b2b-data-transformation/">Continue reading <span class="meta-nav">&#187;</span></a>]]></description>
		<wfw:commentRss>http://blogs.informatica.com/perspectives/2012/03/01/remote-data-collection-and-transformation-with-ultra-messaging-cache-option-and-b2b-data-transformation/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
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		<item>
		<title>How Do You Handle the Recent Storage Shortage?</title>
		<link>http://blogs.informatica.com/perspectives/2012/01/24/how-do-you-handle-the-recent-storage-shortage/?utm_source=rss&amp;utm_medium=rss&amp;utm_campaign=how-do-you-handle-the-recent-storage-shortage</link>
		<comments>http://blogs.informatica.com/perspectives/2012/01/24/how-do-you-handle-the-recent-storage-shortage/#comments</comments>
		<pubDate>Tue, 24 Jan 2012 08:10:31 +0000</pubDate>
		<dc:creator>Informatica</dc:creator>
				<category><![CDATA[Application ILM]]></category>
		<category><![CDATA[Application Retirement]]></category>
		<category><![CDATA[Big Data]]></category>
		<category><![CDATA[Data Governance]]></category>
		<category><![CDATA[Data Warehousing]]></category>
		<category><![CDATA[Database Archiving]]></category>
		<category><![CDATA[Financial Services]]></category>
		<category><![CDATA[Healthcare]]></category>
		<category><![CDATA[Mainframe]]></category>
		<category><![CDATA[Operational Efficiency]]></category>
		<category><![CDATA[Public Sector]]></category>
		<category><![CDATA[Telecommunications]]></category>
		<category><![CDATA[Vertical]]></category>
		<category><![CDATA[data center consolidation]]></category>
		<category><![CDATA[modernization]]></category>
		<category><![CDATA[storage]]></category>
		<category><![CDATA[Storage shortage]]></category>

		<guid isPermaLink="false">http://blogs.informatica.com/perspectives/?p=8710</guid>
		<description><![CDATA[Gartner hosted a webinar on January 10, 2012: Gartner Worldwide IT Spending Forecast. One of the topics covered was industry IT spend for 2012. In covering that topic they made a point of saying that due to severe flooding in &#8230;<br /> <a href="http://blogs.informatica.com/perspectives/2012/01/24/how-do-you-handle-the-recent-storage-shortage/">Continue reading <span class="meta-nav">&#187;</span></a>]]></description>
		<wfw:commentRss>http://blogs.informatica.com/perspectives/2012/01/24/how-do-you-handle-the-recent-storage-shortage/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
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		<item>
		<title>What it Takes to Be a Leader in Data Virtualization!</title>
		<link>http://blogs.informatica.com/perspectives/2012/01/23/what-it-takes-to-be-a-leader-in-data-virtualization/?utm_source=rss&amp;utm_medium=rss&amp;utm_campaign=what-it-takes-to-be-a-leader-in-data-virtualization</link>
		<comments>http://blogs.informatica.com/perspectives/2012/01/23/what-it-takes-to-be-a-leader-in-data-virtualization/#comments</comments>
		<pubDate>Mon, 23 Jan 2012 18:18:14 +0000</pubDate>
		<dc:creator>Ash Parikh</dc:creator>
				<category><![CDATA[Data Integration Platform]]></category>
		<category><![CDATA[Data masking]]></category>
		<category><![CDATA[Data Quality]]></category>
		<category><![CDATA[Data Services]]></category>
		<category><![CDATA[Data Transformation]]></category>
		<category><![CDATA[Data Warehousing]]></category>
		<category><![CDATA[Enterprise Data Management]]></category>
		<category><![CDATA[Financial Services]]></category>
		<category><![CDATA[Governance, Risk and Compliance]]></category>
		<category><![CDATA[Healthcare]]></category>
		<category><![CDATA[Informatica 9.1]]></category>
		<category><![CDATA[Integration Competency Centers]]></category>
		<category><![CDATA[Mainframe]]></category>
		<category><![CDATA[Master Data Management]]></category>
		<category><![CDATA[Mergers and Acquisitions]]></category>
		<category><![CDATA[News & Announcements]]></category>
		<category><![CDATA[Operational Efficiency]]></category>
		<category><![CDATA[Pervasive Data Quality]]></category>
		<category><![CDATA[Profiling]]></category>
		<category><![CDATA[Public Sector]]></category>
		<category><![CDATA[Real-Time]]></category>
		<category><![CDATA[SOA]]></category>
		<category><![CDATA[Telecommunications]]></category>
		<category><![CDATA[Vertical]]></category>
		<category><![CDATA[" "SOA]]></category>
		<category><![CDATA[Agile BI]]></category>
		<category><![CDATA[Business Agility]]></category>
		<category><![CDATA[Data Federation]]></category>
		<category><![CDATA[Data Virtualization]]></category>
		<category><![CDATA[Data Warehouse Prototyping]]></category>
		<category><![CDATA[Faster Reports]]></category>
		<category><![CDATA[Forrester Wave Data Virtualization]]></category>
		<category><![CDATA[MDM]]></category>
		<category><![CDATA[single view]]></category>

		<guid isPermaLink="false">http://blogs.informatica.com/perspectives/?p=8761</guid>
		<description><![CDATA[If you haven’t already, I think you should read The Forrester Wave™: Data Virtualization, Q1 2012. For several reasons – one, to truly understand the space, and two, to understand the critical capabilities required to be a solution that solves &#8230;<br /> <a href="http://blogs.informatica.com/perspectives/2012/01/23/what-it-takes-to-be-a-leader-in-data-virtualization/">Continue reading <span class="meta-nav">&#187;</span></a>]]></description>
		<wfw:commentRss>http://blogs.informatica.com/perspectives/2012/01/23/what-it-takes-to-be-a-leader-in-data-virtualization/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
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		<item>
		<title>Remove the Restrictor Plate with High Performance Load Balancing</title>
		<link>http://blogs.informatica.com/perspectives/2011/12/16/remove-the-restrictor-plate-with-high-performance-load-balancing/?utm_source=rss&amp;utm_medium=rss&amp;utm_campaign=remove-the-restrictor-plate-with-high-performance-load-balancing</link>
		<comments>http://blogs.informatica.com/perspectives/2011/12/16/remove-the-restrictor-plate-with-high-performance-load-balancing/#comments</comments>
		<pubDate>Fri, 16 Dec 2011 20:31:02 +0000</pubDate>
		<dc:creator>Jeff Brokaw</dc:creator>
				<category><![CDATA[Big Data]]></category>
		<category><![CDATA[Business Impact / Benefits]]></category>
		<category><![CDATA[Financial Services]]></category>
		<category><![CDATA[Governance, Risk and Compliance]]></category>
		<category><![CDATA[Operational Efficiency]]></category>
		<category><![CDATA[Telecommunications]]></category>
		<category><![CDATA[Ultra Messaging]]></category>
		<category><![CDATA[Compliance]]></category>
		<category><![CDATA[Enterprise Architecture]]></category>
		<category><![CDATA[Enterprise Messaging]]></category>
		<category><![CDATA[high throughput messaging]]></category>
		<category><![CDATA[low latency messaging]]></category>
		<category><![CDATA[Lower TCO]]></category>
		<category><![CDATA[messaging middleware]]></category>
		<category><![CDATA[scalability]]></category>
		<category><![CDATA[throughput]]></category>
		<category><![CDATA[ultra low latency messaging]]></category>

		<guid isPermaLink="false">http://blogs.informatica.com/perspectives/?p=8480</guid>
		<description><![CDATA[Similar to the way that a carburetor restrictor plate prevents NASCAR race cars from going as fast as possible by restricting maximum airflow, inefficient messaging middleware prevents IT organizations from processing vital business data as fast as possible. Back in &#8230;<br /> <a href="http://blogs.informatica.com/perspectives/2011/12/16/remove-the-restrictor-plate-with-high-performance-load-balancing/">Continue reading <span class="meta-nav">&#187;</span></a>]]></description>
		<wfw:commentRss>http://blogs.informatica.com/perspectives/2011/12/16/remove-the-restrictor-plate-with-high-performance-load-balancing/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
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		<item>
		<title>The Rise of the Machine – The Next Golden Data Source?</title>
		<link>http://blogs.informatica.com/perspectives/2011/12/05/the-rise-of-the-machine-the-next-golden-data-source/?utm_source=rss&amp;utm_medium=rss&amp;utm_campaign=the-rise-of-the-machine-the-next-golden-data-source</link>
		<comments>http://blogs.informatica.com/perspectives/2011/12/05/the-rise-of-the-machine-the-next-golden-data-source/#comments</comments>
		<pubDate>Mon, 05 Dec 2011 21:30:27 +0000</pubDate>
		<dc:creator>Chris Parsons</dc:creator>
				<category><![CDATA[Complex Event Processing]]></category>
		<category><![CDATA[Telecommunications]]></category>
		<category><![CDATA[logistics]]></category>
		<category><![CDATA[RFID]]></category>

		<guid isPermaLink="false">http://blogs.informatica.com/perspectives/?p=8288</guid>
		<description><![CDATA[Most Industry analysts agree that there will be a dramatic increase in the number and nature of ‘connected devices’ over the next 3-5 years. These are predicted to run into tens of billions and include communication-enabled consumer devices, machines that &#8230;<br /> <a href="http://blogs.informatica.com/perspectives/2011/12/05/the-rise-of-the-machine-the-next-golden-data-source/">Continue reading <span class="meta-nav">&#187;</span></a>]]></description>
		<wfw:commentRss>http://blogs.informatica.com/perspectives/2011/12/05/the-rise-of-the-machine-the-next-golden-data-source/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
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		<item>
		<title>Addressing the Big Data Backup Challenge with Database Archiving</title>
		<link>http://blogs.informatica.com/perspectives/2011/10/26/addressing-the-big-data-backup-challenge-with-database-archiving/?utm_source=rss&amp;utm_medium=rss&amp;utm_campaign=addressing-the-big-data-backup-challenge-with-database-archiving</link>
		<comments>http://blogs.informatica.com/perspectives/2011/10/26/addressing-the-big-data-backup-challenge-with-database-archiving/#comments</comments>
		<pubDate>Wed, 26 Oct 2011 15:00:43 +0000</pubDate>
		<dc:creator>Claudia Chandra</dc:creator>
				<category><![CDATA[Application Retirement]]></category>
		<category><![CDATA[Database Archiving]]></category>
		<category><![CDATA[Financial Services]]></category>
		<category><![CDATA[Governance, Risk and Compliance]]></category>
		<category><![CDATA[Healthcare]]></category>
		<category><![CDATA[Operational Efficiency]]></category>
		<category><![CDATA[Public Sector]]></category>
		<category><![CDATA[Telecommunications]]></category>
		<category><![CDATA[archive]]></category>
		<category><![CDATA[audit]]></category>
		<category><![CDATA[backup]]></category>
		<category><![CDATA[eDiscovery]]></category>
		<category><![CDATA[risk]]></category>

		<guid isPermaLink="false">http://blogs.informatica.com/perspectives/?p=7990</guid>
		<description><![CDATA[In a recent InformationWeek blog, “Big Data A Big Backup Challenge”, George Crump aptly pointed out the problems of backing up big data and outlined some best practices that should be applied to address them, including: Identifying which data can &#8230;<br /> <a href="http://blogs.informatica.com/perspectives/2011/10/26/addressing-the-big-data-backup-challenge-with-database-archiving/">Continue reading <span class="meta-nav">&#187;</span></a>]]></description>
		<wfw:commentRss>http://blogs.informatica.com/perspectives/2011/10/26/addressing-the-big-data-backup-challenge-with-database-archiving/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
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		<title>Latency Matters, Even For Websites And Rich Internet Applications</title>
		<link>http://blogs.informatica.com/perspectives/2011/10/19/latency-matters-even-for-websites-and-rich-internet-applications/?utm_source=rss&amp;utm_medium=rss&amp;utm_campaign=latency-matters-even-for-websites-and-rich-internet-applications</link>
		<comments>http://blogs.informatica.com/perspectives/2011/10/19/latency-matters-even-for-websites-and-rich-internet-applications/#comments</comments>
		<pubDate>Wed, 19 Oct 2011 16:06:28 +0000</pubDate>
		<dc:creator>Jeff Brokaw</dc:creator>
				<category><![CDATA[Customer Acquisition & Retention]]></category>
		<category><![CDATA[Financial Services]]></category>
		<category><![CDATA[Operational Efficiency]]></category>
		<category><![CDATA[Public Sector]]></category>
		<category><![CDATA[Telecommunications]]></category>
		<category><![CDATA[Ultra Messaging]]></category>
		<category><![CDATA[capital markets]]></category>
		<category><![CDATA[high availability]]></category>
		<category><![CDATA[high performance market data feeds]]></category>
		<category><![CDATA[high performance messaging]]></category>
		<category><![CDATA[high throughput messaging]]></category>
		<category><![CDATA[low latency messaging]]></category>
		<category><![CDATA[reliability]]></category>
		<category><![CDATA[scalability]]></category>
		<category><![CDATA[throughput]]></category>
		<category><![CDATA[ultra low latency messaging]]></category>

		<guid isPermaLink="false">http://blogs.informatica.com/perspectives/?p=7855</guid>
		<description><![CDATA[In the past, the term latency has been largely ignored in the IT world, with the exception of network engineers and algorithmic trading experts. But today, there is compelling evidence that latency is an important metric for every business that &#8230;<br /> <a href="http://blogs.informatica.com/perspectives/2011/10/19/latency-matters-even-for-websites-and-rich-internet-applications/">Continue reading <span class="meta-nav">&#187;</span></a>]]></description>
		<wfw:commentRss>http://blogs.informatica.com/perspectives/2011/10/19/latency-matters-even-for-websites-and-rich-internet-applications/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
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		<item>
		<title>Start Running Because The Data Tsunami Is Approaching</title>
		<link>http://blogs.informatica.com/perspectives/2011/10/10/start-running-because-the-data-tsunami-is-approaching/?utm_source=rss&amp;utm_medium=rss&amp;utm_campaign=start-running-because-the-data-tsunami-is-approaching</link>
		<comments>http://blogs.informatica.com/perspectives/2011/10/10/start-running-because-the-data-tsunami-is-approaching/#comments</comments>
		<pubDate>Mon, 10 Oct 2011 09:53:26 +0000</pubDate>
		<dc:creator>Chris Parsons</dc:creator>
				<category><![CDATA[B2B]]></category>
		<category><![CDATA[B2B Data Exchange]]></category>
		<category><![CDATA[Big Data]]></category>
		<category><![CDATA[Data Transformation]]></category>
		<category><![CDATA[Telecommunications]]></category>
		<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[customer data integration]]></category>
		<category><![CDATA[data growth]]></category>

		<guid isPermaLink="false">http://blogs.informatica.com/perspectives/?p=7857</guid>
		<description><![CDATA[The phrase ‘Data Tsunami’ has been used by numerous authors in the last few months and it’s difficult to find another suitable analogy because what’s approaching is of such an increased order of magnitude that the IT industries continued expectations &#8230;<br /> <a href="http://blogs.informatica.com/perspectives/2011/10/10/start-running-because-the-data-tsunami-is-approaching/">Continue reading <span class="meta-nav">&#187;</span></a>]]></description>
		<wfw:commentRss>http://blogs.informatica.com/perspectives/2011/10/10/start-running-because-the-data-tsunami-is-approaching/feed/</wfw:commentRss>
		<slash:comments>1</slash:comments>
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		<title>Waterfalls Can Be Dangerous. Try Agile Data Integration For Agile BI.</title>
		<link>http://blogs.informatica.com/perspectives/2011/09/14/waterfalls-can-be-dangerous-try-agile-data-integration-for-agile-bi/?utm_source=rss&amp;utm_medium=rss&amp;utm_campaign=waterfalls-can-be-dangerous-try-agile-data-integration-for-agile-bi</link>
		<comments>http://blogs.informatica.com/perspectives/2011/09/14/waterfalls-can-be-dangerous-try-agile-data-integration-for-agile-bi/#comments</comments>
		<pubDate>Wed, 14 Sep 2011 19:57:09 +0000</pubDate>
		<dc:creator>John Haddad</dc:creator>
				<category><![CDATA[Telecommunications]]></category>
		<category><![CDATA[Agile BI]]></category>
		<category><![CDATA[Data Quality]]></category>
		<category><![CDATA[Standish Group]]></category>
		<category><![CDATA[waterfall]]></category>

		<guid isPermaLink="false">http://blogs.informatica.com/perspectives/?p=7548</guid>
		<description><![CDATA[Most organizations will admit that it takes much too long for the business to get the data they need.  IT projects take too long to deliver &#8212; from the time business requirements are defined until the project go-live.  With traditional &#8230;<br /> <a href="http://blogs.informatica.com/perspectives/2011/09/14/waterfalls-can-be-dangerous-try-agile-data-integration-for-agile-bi/">Continue reading <span class="meta-nav">&#187;</span></a>]]></description>
		<wfw:commentRss>http://blogs.informatica.com/perspectives/2011/09/14/waterfalls-can-be-dangerous-try-agile-data-integration-for-agile-bi/feed/</wfw:commentRss>
		<slash:comments>1</slash:comments>
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		<title>Data Quality Helps Find Missing Revenue</title>
		<link>http://blogs.informatica.com/perspectives/2011/08/12/data-quality-helps-find-missing-revenue/?utm_source=rss&amp;utm_medium=rss&amp;utm_campaign=data-quality-helps-find-missing-revenue</link>
		<comments>http://blogs.informatica.com/perspectives/2011/08/12/data-quality-helps-find-missing-revenue/#comments</comments>
		<pubDate>Sat, 13 Aug 2011 02:11:58 +0000</pubDate>
		<dc:creator>Donal Dunne</dc:creator>
				<category><![CDATA[Customer Acquisition & Retention]]></category>
		<category><![CDATA[Customers]]></category>
		<category><![CDATA[Data Governance]]></category>
		<category><![CDATA[Data Quality]]></category>
		<category><![CDATA[Telecommunications]]></category>
		<category><![CDATA[Avaya]]></category>
		<category><![CDATA[billing]]></category>
		<category><![CDATA[center of excellence]]></category>
		<category><![CDATA[customer data]]></category>
		<category><![CDATA[ROI]]></category>

		<guid isPermaLink="false">http://blogs.informatica.com/perspectives/?p=7110</guid>
		<description><![CDATA[The establishment and maintenance of accurate customer data is the key to all revenue-generating events that a company has. A single key question is at the heart of this: Do you understand your customers? And good quality data is at &#8230;<br /> <a href="http://blogs.informatica.com/perspectives/2011/08/12/data-quality-helps-find-missing-revenue/">Continue reading <span class="meta-nav">&#187;</span></a>]]></description>
		<wfw:commentRss>http://blogs.informatica.com/perspectives/2011/08/12/data-quality-helps-find-missing-revenue/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
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