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	<title><![CDATA[0xbt: September 2019]]></title>
	<link>https://0xbt.net/blog/archive/evabraun/1567296000/1569888000</link>
	<atom:link href="https://0xbt.net/blog/archive/evabraun/1567296000/1569888000" rel="self" type="application/rss+xml" />
	<description><![CDATA[]]></description>
	
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	<guid isPermaLink="true">https://0xbt.net/blog/view/77746/future-predictions-%E2%80%93-should-you-go-for-sap-business-objects-training</guid>
	<pubDate>Wed, 18 Sep 2019 04:04:46 +0000</pubDate>
	<link>https://0xbt.net/blog/view/77746/future-predictions-%E2%80%93-should-you-go-for-sap-business-objects-training</link>
	<title><![CDATA[Future Predictions – should you go for SAP Business Objects training?]]></title>
	<description><![CDATA[<p>SAP have announced the biggest change to their SAP Lumira and Analytics strategies. The change stimulated a variety of reactions like customer&rsquo;s feedback and partner&rsquo;s pleas. This post will give you an in-depth detail of the impact that these changes have had on the on-premise SAP BusinessObject customers. The impact will clearly show you whether or not <strong>SAP business object training</strong> is the one you should go for.</p><p>&nbsp;</p><p style="text-align: center;"><img src="http://ssf-net.com/portal/ow_userfiles/plugins/base/630-SAP%20BUSINESS%20OBJECTS%20TRAINING.jpg" alt="" width="500" height="348"></p><p>&nbsp;</p><p>So let&rsquo;s take a closer look!</p><p>&nbsp;</p><p><strong>Longevity</strong></p><p>By announcing the official release of SAP BusinessObject updates, the company has ensured that this platform will be supported for the next 10 years minimum. This is good news for many business owners and partners. This indicates that all the underlying products such as Crystal report (CR), Analysis for office, SAP Lumira Designer and Web Intelligence (WEBI) that run on the SAP BusinessObject platform, will derive this support till 2028.</p><p>&nbsp;</p><p><strong>Life Support </strong></p><p>Unfortunately, this is SAP Lumira discovery last innovation development, the current Lumira roadmap is the perfect example of that. It will, however, be maintained and supported by SAP till 2028, as long as you transfer to a supported SAP BusinessObjects release.</p><p>Generally, SAP Lumira Discovery can be used with the existing feature set and functionalities with an assurance that it will be supported for another decade.</p><p>&nbsp;</p><p><strong>Lumira Designer Roadmap </strong></p><p>The roadmap includes:</p><p><em>Application Design </em></p><p>Some people still call storyboards a dashboard or a report. Even most complex and advanced IT-developed applications are called as the dashboard, more often than not. Basically, SAP customers never said goodbye to the complex applications with dashboard use cases (especially the ones that came from Web Application Design).</p><p>&nbsp;</p><p><em>Legacy Tools Migration </em></p><p>SAP has proved to be the best server of application use case without a real competitor in the market. SAP is also recommending that the heritage BI products such as Web Application Designer (WAD), Xcelsius or SAP Dashboard and Analysis for OLAP be migrated to SAP Lumira Designer. &nbsp;&nbsp;</p><p>&nbsp;</p><p><em>App Design </em></p><p>The introduction of Application Design use case to SAP analytic cloud doesn&rsquo;t simply mean that Lumira will not witness innovations such as Discovery or it will face similar problems as Discovery. There will always be customers who would stick to their existing on-premise system without moving to the cloud or those who would move to the cloud for better management.</p><p>It&rsquo;s beneficial to bring successful application design onto the cloud in the long run for Lumira Design as it may require interoperability. &nbsp;&nbsp;&nbsp;</p><p>With regards to <strong><a href="https://www.existbi.com/sap-business-objects-training/">SAP business object training</a></strong> however, things change quickly and people all over the world are turning back to SAP for long distance stability in the market. &nbsp;Contact our expert team today, our services cover the United States, United Kingdom and Europe.</p>]]></description>
	<dc:creator>Eva Braun</dc:creator>
</item>
<item>
	<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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