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	<title><![CDATA[0xbt: Learn how to Take on Cloud Analytical Migrations with MS-Azure and Informatica Training]]></title>
	<link>https://0xbt.net/blog/view/76826/learn-how-to-take-on-cloud-analytical-migrations-with-ms-azure-and-informatica-training</link>
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	<guid isPermaLink="true">https://0xbt.net/blog/view/76826/learn-how-to-take-on-cloud-analytical-migrations-with-ms-azure-and-informatica-training</guid>
	<pubDate>Tue, 03 Sep 2019 09:16:45 +0000</pubDate>
	<link>https://0xbt.net/blog/view/76826/learn-how-to-take-on-cloud-analytical-migrations-with-ms-azure-and-informatica-training</link>
	<title><![CDATA[Learn how to Take on Cloud Analytical Migrations with MS-Azure and Informatica Training]]></title>
	<description><![CDATA[<p>Your <a href="https://www.existbi.com/informatica-training/"><strong>Informatica training</strong></a> can enlighten you to numerous topics, such as how Microsoft Azure and Informatica can be used to take on cloud analytical migration.&nbsp;</p><p><strong>Dive Deep</strong></p><p>As one of the top cloud provider, Microsoft is making migration and modernization as seamless as possible.</p><p><em>Feasible Technology: </em></p><p>From analytics to infrastructure, creating on-premises conversations to the cloud across the technology portfolio builds feasible technology for enterprises in modern strategy. It also serves to a large existing customer base for Microsoft, some of which ensued the cloud era.</p><p><em>Growing Partnership: </em></p><p>Microsoft has partnered with some of the leading retailers in other specialist technology areas to deliver leading solutions for their customers. According to some sources, the company has recently connected its cloud services with Oracle.</p><p>Now Microsoft is partnering with Informatica &ndash; industry leaders in data integration tools of Gartner.</p><p>&nbsp;</p><p><img 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alt="" width="500" height="250"><img src="https://susidy.com/public/album_photo/3e/48/01/145f7_0390.jpg?c=6809" alt="" width="494" height="247"></p><p>&nbsp;</p><p>The aim is all about joining customers and putting the load of facets like converting code on the vendors. The partnership is predicted to be growing the role of data played in the enterprise. Organizations are collecting as much information as they can but the truth is the data yields little insight until analytics are applied.</p><p><em>High-Volume Enterprise Data:</em></p><p>Enterprise analytics is going through &lsquo;Renaissance&rsquo; because more organizations work to analyze and manage gathered data to figure out the pattern. On-premise systems are not able to keep up with the data volume as companies add data on daily-basis. Therefore, most of the companies are migrating to cloud to create scalable analytics systems to visualize and analyze data.</p><p><strong>Dive Brief: </strong>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;</p><p>Both Informatica and Microsoft Azure are working together to provide smooth and quick migration analytics portfolios to the cloud.</p><p>Companies that have completed infrastructure migration to the cloud or are still undergoing it, are turning their attention to other assets available in the market. Gone were the days when companies used to focus on data only. Now there are many other technologies such as Machine learning, AI, IoT, etc.</p><p>Data migrations have covered the way for businesses to gain insight into their data estate. Under the partnership, Informatica and Azure will help companies to understand what data is available or stored in their warehouse and cater a better code conversion for on-premise appliance directly to the cloud.</p><p><strong>Their Offer</strong></p><p>The partnership of Microsoft Azure and Informatica offers all the enterprises a compelling migration, which provides a smooth analytics workload migration to the cloud.</p><p>The announcement includes two things &ndash; Free code conversion and free evaluation.</p><p>Free code conversion means enterprises don&rsquo;t have to pay for it for both the proof of value phase and after completely migrating to the cloud. &nbsp;It also offers SQL Data Warehouse subscription for 30 days.</p><p>Free evaluation means companies can work with Azure &amp; Informatica to determine what data is connected to their current data warehouse, to understand their current data estate, and duplicate tables without moving any data for the sake of conducting a proof of value.</p><p>Having a sound knowledge of both will help you to make yourself useful for organizations. So learn how Informatica and Azure work together in your <strong>Informatica training</strong> and broaden your skill-set.</p>]]></description>
	<dc:creator>Eva Braun</dc:creator>
</item>

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