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    <title>KPI Partners Blog</title>
    <link>https://www.kpipartners.com/blog</link>
    <description>Articles about the world of Analytics, BI, Data Integration, Cloud Services, ERP, and big data</description>
    <language>en-us</language>
    <pubDate>Wed, 11 Sep 2024 10:36:50 GMT</pubDate>
    <dc:date>2024-09-11T10:36:50Z</dc:date>
    <dc:language>en-us</dc:language>
    <item>
      <title>Manual performance optimization in Denodo – Most relevant and most used techniques</title>
      <link>https://www.kpipartners.com/blog/manual-performance-optimization-in-denodo</link>
      <description>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://www.kpipartners.com/blog/manual-performance-optimization-in-denodo" title="" class="hs-featured-image-link"&gt; &lt;img src="https://www.kpipartners.com/hubfs/Manual%20performance%20optimization%20in%20Denodo%20%E2%80%93%20Most%20relevant%20and%20most%20used%20techniques.png" alt="Manual performance optimization in Denodo – Most relevant and most used techniques" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt; 
&lt;h3&gt;&lt;strong&gt;&lt;em&gt;by Manju Das&lt;/em&gt;&lt;/strong&gt;&lt;/h3&gt; 
&lt;h2 style="line-height: 26.45px;"&gt;&lt;strong&gt;Manual &lt;/strong&gt;&lt;strong style="font-size: 23px; background-color: transparent;"&gt;performance optimization in Denodo – Most relevant and most used techniques&lt;/strong&gt;&lt;/h2&gt; 
&lt;p style="text-align: justify;"&gt;&lt;span style="font-size: 14px;"&gt;We are going to discuss how to optimize the Denodo query to make the most of the optimization in the Denodo platform. Below are the most powerful query optimization techniques that we can apply in Denodo platform manually which will increase the performance significantly.&lt;/span&gt;&lt;/p&gt; 
&lt;h2 style="line-height: 26.45px;"&gt;&lt;/h2&gt;</description>
      <content:encoded>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://www.kpipartners.com/blog/manual-performance-optimization-in-denodo" title="" class="hs-featured-image-link"&gt; &lt;img src="https://www.kpipartners.com/hubfs/Manual%20performance%20optimization%20in%20Denodo%20%E2%80%93%20Most%20relevant%20and%20most%20used%20techniques.png" alt="Manual performance optimization in Denodo – Most relevant and most used techniques" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt; 
&lt;h3&gt;&lt;strong&gt;&lt;em&gt;by Manju Das&lt;/em&gt;&lt;/strong&gt;&lt;/h3&gt; 
&lt;h2 style="line-height: 26.45px;"&gt;&lt;strong&gt;Manual &lt;/strong&gt;&lt;strong style="font-size: 23px; background-color: transparent;"&gt;performance optimization in Denodo – Most relevant and most used techniques&lt;/strong&gt;&lt;/h2&gt; 
&lt;p style="text-align: justify;"&gt;&lt;span style="font-size: 14px;"&gt;We are going to discuss how to optimize the Denodo query to make the most of the optimization in the Denodo platform. Below are the most powerful query optimization techniques that we can apply in Denodo platform manually which will increase the performance significantly.&lt;/span&gt;&lt;/p&gt; 
&lt;h2 style="line-height: 26.45px;"&gt;&lt;/h2&gt;  
&lt;img src="https://track-na2.hubspot.com/__ptq.gif?a=104260&amp;amp;k=14&amp;amp;r=https%3A%2F%2Fwww.kpipartners.com%2Fblog%2Fmanual-performance-optimization-in-denodo&amp;amp;bu=https%253A%252F%252Fwww.kpipartners.com%252Fblog&amp;amp;bvt=rss" alt="" width="1" height="1" style="min-height:1px!important;width:1px!important;border-width:0!important;margin-top:0!important;margin-bottom:0!important;margin-right:0!important;margin-left:0!important;padding-top:0!important;padding-bottom:0!important;padding-right:0!important;padding-left:0!important; "&gt;</content:encoded>
      <category>Blog</category>
      <category>Manju Das</category>
      <category>Denodo</category>
      <category>Most relevant and most used techniques</category>
      <category>Manual performance optimization in Denodo</category>
      <category>Denodo platform</category>
      <category>query optimizer</category>
      <category>data virtualization tools</category>
      <category>performance tuning in sql</category>
      <category>denodo data virtualization</category>
      <pubDate>Mon, 24 Aug 2020 12:46:15 GMT</pubDate>
      <guid>https://www.kpipartners.com/blog/manual-performance-optimization-in-denodo</guid>
      <dc:date>2020-08-24T12:46:15Z</dc:date>
      <dc:creator>KPI Partners News Team</dc:creator>
    </item>
    <item>
      <title>Migrating To AWS Aurora? Things to Consider!</title>
      <link>https://www.kpipartners.com/blog/migrating-to-aws-aurora-things-to-consider</link>
      <description>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://www.kpipartners.com/blog/migrating-to-aws-aurora-things-to-consider" title="" class="hs-featured-image-link"&gt; &lt;img src="https://www.kpipartners.com/hubfs/Migrating%20To%20AWS%20Aurora%20Things%20to%20Consider.png" alt="Migrating To AWS Aurora? Things to Consider!" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt; 
&lt;p class="hs-migrated-cms-post" style="line-height: 1.25;"&gt;&lt;strong style="color: #b40d1d; font-family: 'Helvetica Neue', Helvetica; font-size: 13.99px; background-color: transparent;"&gt;&lt;em&gt;by Mohit Mathur&lt;/em&gt;&lt;/strong&gt;&lt;/p&gt; 
&lt;h2&gt;&lt;span style="color: #990100;"&gt;Not 100% convinced of migrating to AWS Aurora? – READ ME&lt;/span&gt;&amp;nbsp;&lt;/h2&gt; 
&lt;p&gt;According to latest reports released in February 2019 by leading market research companies, 94% of respondents now leverage cloud technologies. Public cloud adoption is at 91 percent and private cloud adoption is at 72 percent, according to Right scale – A Cloud Management Company.&lt;/p&gt; 
&lt;h3&gt;According to the survey done by Gartner in last quarter of 2018:&lt;/h3&gt; 
&lt;ul&gt; 
 &lt;li&gt;Organizations of all sizes are moving to cloud solutions, such as core financial applications, for transactional systems of record.&lt;/li&gt; 
 &lt;li&gt;Cloud momentum is consistently higher across financial business applications year over year.&lt;/li&gt; 
 &lt;li&gt;Business analytics and enterprise business applications continue as top investment initiatives for senior financial executives.&lt;/li&gt; 
&lt;/ul&gt;</description>
      <content:encoded>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://www.kpipartners.com/blog/migrating-to-aws-aurora-things-to-consider" title="" class="hs-featured-image-link"&gt; &lt;img src="https://www.kpipartners.com/hubfs/Migrating%20To%20AWS%20Aurora%20Things%20to%20Consider.png" alt="Migrating To AWS Aurora? Things to Consider!" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt; 
&lt;p class="hs-migrated-cms-post" style="line-height: 1.25;"&gt;&lt;strong style="color: #b40d1d; font-family: 'Helvetica Neue', Helvetica; font-size: 13.99px; background-color: transparent;"&gt;&lt;em&gt;by Mohit Mathur&lt;/em&gt;&lt;/strong&gt;&lt;/p&gt; 
&lt;h2&gt;&lt;span style="color: #990100;"&gt;Not 100% convinced of migrating to AWS Aurora? – READ ME&lt;/span&gt;&amp;nbsp;&lt;/h2&gt; 
&lt;p&gt;According to latest reports released in February 2019 by leading market research companies, 94% of respondents now leverage cloud technologies. Public cloud adoption is at 91 percent and private cloud adoption is at 72 percent, according to Right scale – A Cloud Management Company.&lt;/p&gt; 
&lt;h3&gt;According to the survey done by Gartner in last quarter of 2018:&lt;/h3&gt; 
&lt;ul&gt; 
 &lt;li&gt;Organizations of all sizes are moving to cloud solutions, such as core financial applications, for transactional systems of record.&lt;/li&gt; 
 &lt;li&gt;Cloud momentum is consistently higher across financial business applications year over year.&lt;/li&gt; 
 &lt;li&gt;Business analytics and enterprise business applications continue as top investment initiatives for senior financial executives.&lt;/li&gt; 
&lt;/ul&gt;  
&lt;img src="https://track-na2.hubspot.com/__ptq.gif?a=104260&amp;amp;k=14&amp;amp;r=https%3A%2F%2Fwww.kpipartners.com%2Fblog%2Fmigrating-to-aws-aurora-things-to-consider&amp;amp;bu=https%253A%252F%252Fwww.kpipartners.com%252Fblog&amp;amp;bvt=rss" alt="" width="1" height="1" style="min-height:1px!important;width:1px!important;border-width:0!important;margin-top:0!important;margin-bottom:0!important;margin-right:0!important;margin-left:0!important;padding-top:0!important;padding-bottom:0!important;padding-right:0!important;padding-left:0!important; "&gt;</content:encoded>
      <category>Migrations</category>
      <category>Blog</category>
      <category>AWS</category>
      <category>Amazon Aurora</category>
      <category>Mohit Mathur</category>
      <category>Migrating To AWS Aurora</category>
      <pubDate>Wed, 17 Apr 2019 17:45:40 GMT</pubDate>
      <guid>https://www.kpipartners.com/blog/migrating-to-aws-aurora-things-to-consider</guid>
      <dc:date>2019-04-17T17:45:40Z</dc:date>
      <dc:creator>KPI Partners News Team</dc:creator>
    </item>
    <item>
      <title>Traditional vs. Agile Software Development Methodologies</title>
      <link>https://www.kpipartners.com/blog/traditional-vs-agile-software-development-methodologies</link>
      <description>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://www.kpipartners.com/blog/traditional-vs-agile-software-development-methodologies" title="" class="hs-featured-image-link"&gt; &lt;img src="https://www.kpipartners.com/hubfs/blogs/traditional-vs-agile/traditional-vs-agile-approach.png" alt="traditional-vs-agile-approach" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt; 
&lt;p class="hs-migrated-cms-post" style="line-height: 1.25;"&gt;&lt;strong style="color: #b40d1d; font-family: 'Helvetica Neue', Helvetica; font-size: 13.99px; background-color: transparent;"&gt;&lt;em&gt;by&amp;nbsp;Indusree Mavuru&lt;/em&gt;&lt;/strong&gt;&lt;/p&gt; 
&lt;p&gt;Most companies today focus on delivering quality and gaining customer satisfaction and in order to accomplish this, the challenge lies in choosing between traditional development methodologies and agile development methodologies.&lt;/p&gt; 
&lt;h2&gt;&lt;/h2&gt;</description>
      <content:encoded>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://www.kpipartners.com/blog/traditional-vs-agile-software-development-methodologies" title="" class="hs-featured-image-link"&gt; &lt;img src="https://www.kpipartners.com/hubfs/blogs/traditional-vs-agile/traditional-vs-agile-approach.png" alt="traditional-vs-agile-approach" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt; 
&lt;p class="hs-migrated-cms-post" style="line-height: 1.25;"&gt;&lt;strong style="color: #b40d1d; font-family: 'Helvetica Neue', Helvetica; font-size: 13.99px; background-color: transparent;"&gt;&lt;em&gt;by&amp;nbsp;Indusree Mavuru&lt;/em&gt;&lt;/strong&gt;&lt;/p&gt; 
&lt;p&gt;Most companies today focus on delivering quality and gaining customer satisfaction and in order to accomplish this, the challenge lies in choosing between traditional development methodologies and agile development methodologies.&lt;/p&gt; 
&lt;h2&gt;&lt;/h2&gt;  
&lt;img src="https://track-na2.hubspot.com/__ptq.gif?a=104260&amp;amp;k=14&amp;amp;r=https%3A%2F%2Fwww.kpipartners.com%2Fblog%2Ftraditional-vs-agile-software-development-methodologies&amp;amp;bu=https%253A%252F%252Fwww.kpipartners.com%252Fblog&amp;amp;bvt=rss" alt="" width="1" height="1" style="min-height:1px!important;width:1px!important;border-width:0!important;margin-top:0!important;margin-bottom:0!important;margin-right:0!important;margin-left:0!important;padding-top:0!important;padding-bottom:0!important;padding-right:0!important;padding-left:0!important; "&gt;</content:encoded>
      <category>Blog</category>
      <category>agile software development methodology</category>
      <category>traditional vs agile</category>
      <category>traditional software development methodology</category>
      <pubDate>Fri, 22 Jun 2018 23:13:31 GMT</pubDate>
      <guid>https://www.kpipartners.com/blog/traditional-vs-agile-software-development-methodologies</guid>
      <dc:date>2018-06-22T23:13:31Z</dc:date>
      <dc:creator>KPI Partners News Team</dc:creator>
    </item>
    <item>
      <title>Integration of OBIEE with an External Web Application - SAML SSO</title>
      <link>https://www.kpipartners.com/blog/integration-of-obiee-with-an-external-web-application-saml-sso</link>
      <description>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://www.kpipartners.com/blog/integration-of-obiee-with-an-external-web-application-saml-sso" title="" class="hs-featured-image-link"&gt; &lt;img src="https://www.kpipartners.com/hubfs/blogs/integration-obiee-external-web-application/1.png" alt="1" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt; 
&lt;p class="hs-migrated-cms-post" style="line-height: 1.25;"&gt;&lt;strong style="color: #b40d1d; font-family: 'Helvetica Neue', Helvetica; font-size: 13.99px; background-color: transparent;"&gt;&lt;em&gt;by&amp;nbsp;Siva Kumar Mopuri&lt;/em&gt;&lt;/strong&gt;&lt;/p&gt; 
&lt;h2&gt;&lt;span style="color: #b40d1d;"&gt;Security Implementation Benefits&lt;/span&gt;&lt;/h2&gt; 
&lt;p&gt;This solution is beneficial in OLTP applications like Oracle EBS that are integrated with OBIEE. In such scenarios, all the responsibilities/groups from OLTP source would be forwarded to OBIEE. Instead of having all the responsibilities in OBIEE, the user has the privilege to select the required responsibilities at runtime and those would be passed to OBIEE.&lt;/p&gt; 
&lt;p&gt;&lt;strong&gt;Note:&lt;/strong&gt; This blog post considers Oracle EBS as an OLTP source which is integrated with OBIEE.&lt;/p&gt; 
&lt;h2&gt;&lt;/h2&gt;</description>
      <content:encoded>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://www.kpipartners.com/blog/integration-of-obiee-with-an-external-web-application-saml-sso" title="" class="hs-featured-image-link"&gt; &lt;img src="https://www.kpipartners.com/hubfs/blogs/integration-obiee-external-web-application/1.png" alt="1" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt; 
&lt;p class="hs-migrated-cms-post" style="line-height: 1.25;"&gt;&lt;strong style="color: #b40d1d; font-family: 'Helvetica Neue', Helvetica; font-size: 13.99px; background-color: transparent;"&gt;&lt;em&gt;by&amp;nbsp;Siva Kumar Mopuri&lt;/em&gt;&lt;/strong&gt;&lt;/p&gt; 
&lt;h2&gt;&lt;span style="color: #b40d1d;"&gt;Security Implementation Benefits&lt;/span&gt;&lt;/h2&gt; 
&lt;p&gt;This solution is beneficial in OLTP applications like Oracle EBS that are integrated with OBIEE. In such scenarios, all the responsibilities/groups from OLTP source would be forwarded to OBIEE. Instead of having all the responsibilities in OBIEE, the user has the privilege to select the required responsibilities at runtime and those would be passed to OBIEE.&lt;/p&gt; 
&lt;p&gt;&lt;strong&gt;Note:&lt;/strong&gt; This blog post considers Oracle EBS as an OLTP source which is integrated with OBIEE.&lt;/p&gt; 
&lt;h2&gt;&lt;/h2&gt;  
&lt;img src="https://track-na2.hubspot.com/__ptq.gif?a=104260&amp;amp;k=14&amp;amp;r=https%3A%2F%2Fwww.kpipartners.com%2Fblog%2Fintegration-of-obiee-with-an-external-web-application-saml-sso&amp;amp;bu=https%253A%252F%252Fwww.kpipartners.com%252Fblog&amp;amp;bvt=rss" alt="" width="1" height="1" style="min-height:1px!important;width:1px!important;border-width:0!important;margin-top:0!important;margin-bottom:0!important;margin-right:0!important;margin-left:0!important;padding-top:0!important;padding-bottom:0!important;padding-right:0!important;padding-left:0!important; "&gt;</content:encoded>
      <category>OBIEE</category>
      <category>Blog</category>
      <category>SSO</category>
      <pubDate>Wed, 13 Jun 2018 16:25:34 GMT</pubDate>
      <guid>https://www.kpipartners.com/blog/integration-of-obiee-with-an-external-web-application-saml-sso</guid>
      <dc:date>2018-06-13T16:25:34Z</dc:date>
      <dc:creator>KPI Partners News Team</dc:creator>
    </item>
    <item>
      <title>How to Setup Dependencies between Load Plans in Oracle Data Integrator</title>
      <link>https://www.kpipartners.com/blog/setup-dependencies-load-plans-odi</link>
      <description>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://www.kpipartners.com/blog/setup-dependencies-load-plans-odi" title="" class="hs-featured-image-link"&gt; &lt;img src="https://www.kpipartners.com/hubfs/blogs/load-plan-dependencies-odi/1.png" alt="1" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt; 
&lt;p class="hs-migrated-cms-post" style="line-height: 1.25;"&gt;&lt;strong style="color: #b40d1d; font-family: 'Helvetica Neue', Helvetica; font-size: 13.99px; background-color: transparent;"&gt;&lt;em&gt;by&amp;nbsp;Chaithanya Kumar Taduvai&lt;/em&gt;&lt;/strong&gt;&lt;/p&gt; 
&lt;p&gt;&lt;span style="background-color: transparent;"&gt;ODI developers usually deal with load plans and mismanaged dependencies between multiple-load plans are typically a cause of data corruption in the system. An ideal Informatica warehouse implementation has multiple execution processes dependent on other execution processes which run automatically without any manual intervention. &lt;span&gt;Here is how we can overcome this issue using the load plan dependency feature of ODI.&lt;/span&gt;&lt;/span&gt;&lt;/p&gt; 
&lt;h2&gt;&lt;/h2&gt;</description>
      <content:encoded>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://www.kpipartners.com/blog/setup-dependencies-load-plans-odi" title="" class="hs-featured-image-link"&gt; &lt;img src="https://www.kpipartners.com/hubfs/blogs/load-plan-dependencies-odi/1.png" alt="1" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt; 
&lt;p class="hs-migrated-cms-post" style="line-height: 1.25;"&gt;&lt;strong style="color: #b40d1d; font-family: 'Helvetica Neue', Helvetica; font-size: 13.99px; background-color: transparent;"&gt;&lt;em&gt;by&amp;nbsp;Chaithanya Kumar Taduvai&lt;/em&gt;&lt;/strong&gt;&lt;/p&gt; 
&lt;p&gt;&lt;span style="background-color: transparent;"&gt;ODI developers usually deal with load plans and mismanaged dependencies between multiple-load plans are typically a cause of data corruption in the system. An ideal Informatica warehouse implementation has multiple execution processes dependent on other execution processes which run automatically without any manual intervention. &lt;span&gt;Here is how we can overcome this issue using the load plan dependency feature of ODI.&lt;/span&gt;&lt;/span&gt;&lt;/p&gt; 
&lt;h2&gt;&lt;/h2&gt;  
&lt;img src="https://track-na2.hubspot.com/__ptq.gif?a=104260&amp;amp;k=14&amp;amp;r=https%3A%2F%2Fwww.kpipartners.com%2Fblog%2Fsetup-dependencies-load-plans-odi&amp;amp;bu=https%253A%252F%252Fwww.kpipartners.com%252Fblog&amp;amp;bvt=rss" alt="" width="1" height="1" style="min-height:1px!important;width:1px!important;border-width:0!important;margin-top:0!important;margin-bottom:0!important;margin-right:0!important;margin-left:0!important;padding-top:0!important;padding-bottom:0!important;padding-right:0!important;padding-left:0!important; "&gt;</content:encoded>
      <category>ODI</category>
      <category>Oracle Data Integrator (ODI)</category>
      <category>Blog</category>
      <category>ODI Load Plans</category>
      <pubDate>Mon, 11 Jun 2018 16:53:52 GMT</pubDate>
      <guid>https://www.kpipartners.com/blog/setup-dependencies-load-plans-odi</guid>
      <dc:date>2018-06-11T16:53:52Z</dc:date>
      <dc:creator>KPI Partners News Team</dc:creator>
    </item>
    <item>
      <title>How to Setup Oracle Analytics Cloud Service</title>
      <link>https://www.kpipartners.com/blog/how-to-setup-oracle-analytics-cloud-service</link>
      <description>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://www.kpipartners.com/blog/how-to-setup-oracle-analytics-cloud-service" title="" class="hs-featured-image-link"&gt; &lt;img src="https://www.kpipartners.com/hubfs/blogs/oacs-setup/7.png" alt="How to Setup Oracle Analytics Cloud Service" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt; 
&lt;p&gt;&lt;span style="font-size: 13px;"&gt;&lt;em&gt;&lt;a href="https://www.kpipartners.com/blog/?Tag=Dindima+Mahesh+Jami" title="by Rushendra Prasad"&gt;by Dindima Mahesh Jami&lt;/a&gt;&lt;/em&gt;&lt;/span&gt;&lt;/p&gt; 
&lt;p&gt;This blog post is intended for those who are familiar with OBIEE or have previously worked on it. It contains step by step instructions on how to setup OACS using a trial account.&lt;/p&gt; 
&lt;h2&gt;&lt;span style="color: #b40d1d;"&gt;&lt;strong&gt;What is OACS?&lt;/strong&gt;&lt;/span&gt;&lt;/h2&gt; 
&lt;p&gt;&lt;a href="https://www.kpipartners.com/tech/oracle"&gt;Oracle &lt;/a&gt;Analytics Cloud Service (OACS) is a new Platform as a Service (PaaS) offering comprehensive analytics capabilities at any scale, in any environment, and on any device. This was first announced on Sep 30, 2014 at Oracle OpenWorld and was officially launched on Apr 4, 2017.&lt;/p&gt;</description>
      <content:encoded>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://www.kpipartners.com/blog/how-to-setup-oracle-analytics-cloud-service" title="" class="hs-featured-image-link"&gt; &lt;img src="https://www.kpipartners.com/hubfs/blogs/oacs-setup/7.png" alt="How to Setup Oracle Analytics Cloud Service" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt; 
&lt;p&gt;&lt;span style="font-size: 13px;"&gt;&lt;em&gt;&lt;a href="https://www.kpipartners.com/blog/?Tag=Dindima+Mahesh+Jami" title="by Rushendra Prasad"&gt;by Dindima Mahesh Jami&lt;/a&gt;&lt;/em&gt;&lt;/span&gt;&lt;/p&gt; 
&lt;p&gt;This blog post is intended for those who are familiar with OBIEE or have previously worked on it. It contains step by step instructions on how to setup OACS using a trial account.&lt;/p&gt; 
&lt;h2&gt;&lt;span style="color: #b40d1d;"&gt;&lt;strong&gt;What is OACS?&lt;/strong&gt;&lt;/span&gt;&lt;/h2&gt; 
&lt;p&gt;&lt;a href="https://www.kpipartners.com/tech/oracle"&gt;Oracle &lt;/a&gt;Analytics Cloud Service (OACS) is a new Platform as a Service (PaaS) offering comprehensive analytics capabilities at any scale, in any environment, and on any device. This was first announced on Sep 30, 2014 at Oracle OpenWorld and was officially launched on Apr 4, 2017.&lt;/p&gt;  
&lt;img src="https://track-na2.hubspot.com/__ptq.gif?a=104260&amp;amp;k=14&amp;amp;r=https%3A%2F%2Fwww.kpipartners.com%2Fblog%2Fhow-to-setup-oracle-analytics-cloud-service&amp;amp;bu=https%253A%252F%252Fwww.kpipartners.com%252Fblog&amp;amp;bvt=rss" alt="" width="1" height="1" style="min-height:1px!important;width:1px!important;border-width:0!important;margin-top:0!important;margin-bottom:0!important;margin-right:0!important;margin-left:0!important;padding-top:0!important;padding-bottom:0!important;padding-right:0!important;padding-left:0!important; "&gt;</content:encoded>
      <category>Blog</category>
      <category>oacs</category>
      <category>Oracle Analytics Cloud Service</category>
      <category>Dindima Mahesh Jami</category>
      <pubDate>Thu, 15 Feb 2018 19:39:03 GMT</pubDate>
      <guid>https://www.kpipartners.com/blog/how-to-setup-oracle-analytics-cloud-service</guid>
      <dc:date>2018-02-15T19:39:03Z</dc:date>
      <dc:creator>KPI Partners News Team</dc:creator>
    </item>
    <item>
      <title>Google Data Studio - Initial Impressions</title>
      <link>https://www.kpipartners.com/blog/google-data-studio-initial-impressions</link>
      <description>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://www.kpipartners.com/blog/google-data-studio-initial-impressions" title="" class="hs-featured-image-link"&gt; &lt;img src="https://www.kpipartners.com/hubfs/blogs/google-data-studio/sample-template-1.png" alt="Google Data Studio - Initial Impressions" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt; 
&lt;div class="hs-migrated-cms-post"&gt; 
 &lt;p&gt;&lt;span style="font-size: 13px;"&gt;&lt;em&gt;&lt;a href="https://www.kpipartners.com/blog/?Tag=Rushendra+Prasad" title="by Rushendra Prasad"&gt;by Rushendra Prasad&lt;/a&gt;&lt;/em&gt;&lt;/span&gt;&lt;/p&gt; 
 &lt;p&gt;&lt;span style="font-size: 13px;"&gt;This blog post offers an insight into the features and functionalities of &lt;a href="https://www.kpipartners.com/tech/google"&gt;Google Data Studio&lt;/a&gt; and compares it with popular data analysis tools like Tableau, QlikView and new entrants like Power BI.&lt;/span&gt;&lt;/p&gt; 
 &lt;p&gt;&lt;span style="font-size: 13px;"&gt;&lt;em&gt;&lt;strong&gt;Disclaimer:&lt;/strong&gt; This article and all features assessed are as on Sep, 2017&amp;nbsp;and subject to modifications / enhancements by Google.&lt;/em&gt;&lt;/span&gt;&lt;/p&gt; 
&lt;/div&gt;</description>
      <content:encoded>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://www.kpipartners.com/blog/google-data-studio-initial-impressions" title="" class="hs-featured-image-link"&gt; &lt;img src="https://www.kpipartners.com/hubfs/blogs/google-data-studio/sample-template-1.png" alt="Google Data Studio - Initial Impressions" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt; 
&lt;div class="hs-migrated-cms-post"&gt; 
 &lt;p&gt;&lt;span style="font-size: 13px;"&gt;&lt;em&gt;&lt;a href="https://www.kpipartners.com/blog/?Tag=Rushendra+Prasad" title="by Rushendra Prasad"&gt;by Rushendra Prasad&lt;/a&gt;&lt;/em&gt;&lt;/span&gt;&lt;/p&gt; 
 &lt;p&gt;&lt;span style="font-size: 13px;"&gt;This blog post offers an insight into the features and functionalities of &lt;a href="https://www.kpipartners.com/tech/google"&gt;Google Data Studio&lt;/a&gt; and compares it with popular data analysis tools like Tableau, QlikView and new entrants like Power BI.&lt;/span&gt;&lt;/p&gt; 
 &lt;p&gt;&lt;span style="font-size: 13px;"&gt;&lt;em&gt;&lt;strong&gt;Disclaimer:&lt;/strong&gt; This article and all features assessed are as on Sep, 2017&amp;nbsp;and subject to modifications / enhancements by Google.&lt;/em&gt;&lt;/span&gt;&lt;/p&gt; 
&lt;/div&gt;  
&lt;img src="https://track-na2.hubspot.com/__ptq.gif?a=104260&amp;amp;k=14&amp;amp;r=https%3A%2F%2Fwww.kpipartners.com%2Fblog%2Fgoogle-data-studio-initial-impressions&amp;amp;bu=https%253A%252F%252Fwww.kpipartners.com%252Fblog&amp;amp;bvt=rss" alt="" width="1" height="1" style="min-height:1px!important;width:1px!important;border-width:0!important;margin-top:0!important;margin-bottom:0!important;margin-right:0!important;margin-left:0!important;padding-top:0!important;padding-bottom:0!important;padding-right:0!important;padding-left:0!important; "&gt;</content:encoded>
      <category>OBIEE</category>
      <category>Rushendra Prasad</category>
      <category>Tableau</category>
      <category>Blog</category>
      <category>Power BI</category>
      <category>Google Data Studio</category>
      <pubDate>Fri, 06 Oct 2017 16:54:06 GMT</pubDate>
      <guid>https://www.kpipartners.com/blog/google-data-studio-initial-impressions</guid>
      <dc:date>2017-10-06T16:54:06Z</dc:date>
      <dc:creator>KPI Partners News Team</dc:creator>
    </item>
    <item>
      <title>Informatica SAP Connector Explained</title>
      <link>https://www.kpipartners.com/blog/informatica-sap-connector-explained</link>
      <description>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://www.kpipartners.com/blog/informatica-sap-connector-explained" title="" class="hs-featured-image-link"&gt; &lt;img src="https://www.kpipartners.com/hubfs/blogs/balaswamy-kaladi.jpg" alt="Balaswamy Kaladi" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt; 
&lt;h3&gt;&lt;strong&gt;&lt;em&gt;by&amp;nbsp;Balaswamy Kaladi&lt;/em&gt;&lt;/strong&gt;&lt;/h3&gt; 
&lt;p&gt;This blog describes how to configure Informatica’s SAP NetWeaver R/3 to connect with&amp;nbsp;SAP BW, extracting data directly from SAP transparent tables. It details setup steps on Informatica and BW servers, as well as what’s required from a developer’s perspective.&lt;/p&gt; 
&lt;p&gt;It’s also important to note that there are two ways to connect SAP BW from Informatica, i.e.&lt;/p&gt; 
&lt;ol style="list-style-type: lower-alpha;"&gt; 
 &lt;li&gt;&lt;span style="font-size: 13px;"&gt;Using Informatica’s SAP BW Connector – this extraction is driven by an Infospoke and extracts data via the Open Hub Services (OHS)&lt;/span&gt;&lt;/li&gt; 
 &lt;li&gt;&lt;span style="font-size: 13px;"&gt;Using Informatica’s SAP NetWeaver R/3 Connector – this allows data extraction directly from a SAP transparent table&lt;/span&gt;&lt;/li&gt; 
&lt;/ol&gt; 
&lt;p&gt;&lt;strong&gt;This blog details the second method i.e. using Informatica's SAP NetWeaver R/3 Connector.&lt;/strong&gt;&lt;/p&gt;</description>
      <content:encoded>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://www.kpipartners.com/blog/informatica-sap-connector-explained" title="" class="hs-featured-image-link"&gt; &lt;img src="https://www.kpipartners.com/hubfs/blogs/balaswamy-kaladi.jpg" alt="Balaswamy Kaladi" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt; 
&lt;h3&gt;&lt;strong&gt;&lt;em&gt;by&amp;nbsp;Balaswamy Kaladi&lt;/em&gt;&lt;/strong&gt;&lt;/h3&gt; 
&lt;p&gt;This blog describes how to configure Informatica’s SAP NetWeaver R/3 to connect with&amp;nbsp;SAP BW, extracting data directly from SAP transparent tables. It details setup steps on Informatica and BW servers, as well as what’s required from a developer’s perspective.&lt;/p&gt; 
&lt;p&gt;It’s also important to note that there are two ways to connect SAP BW from Informatica, i.e.&lt;/p&gt; 
&lt;ol style="list-style-type: lower-alpha;"&gt; 
 &lt;li&gt;&lt;span style="font-size: 13px;"&gt;Using Informatica’s SAP BW Connector – this extraction is driven by an Infospoke and extracts data via the Open Hub Services (OHS)&lt;/span&gt;&lt;/li&gt; 
 &lt;li&gt;&lt;span style="font-size: 13px;"&gt;Using Informatica’s SAP NetWeaver R/3 Connector – this allows data extraction directly from a SAP transparent table&lt;/span&gt;&lt;/li&gt; 
&lt;/ol&gt; 
&lt;p&gt;&lt;strong&gt;This blog details the second method i.e. using Informatica's SAP NetWeaver R/3 Connector.&lt;/strong&gt;&lt;/p&gt;  
&lt;img src="https://track-na2.hubspot.com/__ptq.gif?a=104260&amp;amp;k=14&amp;amp;r=https%3A%2F%2Fwww.kpipartners.com%2Fblog%2Finformatica-sap-connector-explained&amp;amp;bu=https%253A%252F%252Fwww.kpipartners.com%252Fblog&amp;amp;bvt=rss" alt="" width="1" height="1" style="min-height:1px!important;width:1px!important;border-width:0!important;margin-top:0!important;margin-bottom:0!important;margin-right:0!important;margin-left:0!important;padding-top:0!important;padding-bottom:0!important;padding-right:0!important;padding-left:0!important; "&gt;</content:encoded>
      <category>Informatica SAP Connector</category>
      <pubDate>Thu, 20 Oct 2016 17:10:46 GMT</pubDate>
      <guid>https://www.kpipartners.com/blog/informatica-sap-connector-explained</guid>
      <dc:date>2016-10-20T17:10:46Z</dc:date>
      <dc:creator>KPI Partners News Team</dc:creator>
    </item>
    <item>
      <title>Data Warehousing and Analytics Using Amazon Redshift</title>
      <link>https://www.kpipartners.com/blog/data-warehousing-and-analytics-using-amazon-redshift</link>
      <description>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://www.kpipartners.com/blog/data-warehousing-and-analytics-using-amazon-redshift" title="" class="hs-featured-image-link"&gt; &lt;img src="https://www.kpipartners.com/hubfs/blogs/data-warehouse-cluster.png" alt="Data warehouse cluster" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt; 
&lt;div class="hs-migrated-cms-post"&gt; 
 &lt;h3&gt;&lt;strong&gt;&lt;em&gt;by&amp;nbsp;Balaswamy Kaladi&lt;/em&gt;&lt;/strong&gt;&lt;/h3&gt; 
 &lt;p&gt;In today’s world of big data, analytics, and &lt;a href="https://www.kpipartners.com/services/business-intelligence-data-warehousing"&gt;data warehousing&lt;/a&gt;, data volumes continue to grow, seemingly only matched by businesses’ appetite to exploit data for commercial advantage, and do so ever more quickly.&lt;/p&gt; 
 &lt;p&gt;Historically, to deal with the kind of large data volumes that are now becoming commonplace, expensive and heavyweight technologies from vendors such as Teradata, Netezza and Vertica were needed. These typically cost millions of dollars, and required hardware, software, and consulting.&lt;/p&gt; 
&lt;/div&gt;</description>
      <content:encoded>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://www.kpipartners.com/blog/data-warehousing-and-analytics-using-amazon-redshift" title="" class="hs-featured-image-link"&gt; &lt;img src="https://www.kpipartners.com/hubfs/blogs/data-warehouse-cluster.png" alt="Data warehouse cluster" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt; 
&lt;div class="hs-migrated-cms-post"&gt; 
 &lt;h3&gt;&lt;strong&gt;&lt;em&gt;by&amp;nbsp;Balaswamy Kaladi&lt;/em&gt;&lt;/strong&gt;&lt;/h3&gt; 
 &lt;p&gt;In today’s world of big data, analytics, and &lt;a href="https://www.kpipartners.com/services/business-intelligence-data-warehousing"&gt;data warehousing&lt;/a&gt;, data volumes continue to grow, seemingly only matched by businesses’ appetite to exploit data for commercial advantage, and do so ever more quickly.&lt;/p&gt; 
 &lt;p&gt;Historically, to deal with the kind of large data volumes that are now becoming commonplace, expensive and heavyweight technologies from vendors such as Teradata, Netezza and Vertica were needed. These typically cost millions of dollars, and required hardware, software, and consulting.&lt;/p&gt; 
&lt;/div&gt;  
&lt;img src="https://track-na2.hubspot.com/__ptq.gif?a=104260&amp;amp;k=14&amp;amp;r=https%3A%2F%2Fwww.kpipartners.com%2Fblog%2Fdata-warehousing-and-analytics-using-amazon-redshift&amp;amp;bu=https%253A%252F%252Fwww.kpipartners.com%252Fblog&amp;amp;bvt=rss" alt="" width="1" height="1" style="min-height:1px!important;width:1px!important;border-width:0!important;margin-top:0!important;margin-bottom:0!important;margin-right:0!important;margin-left:0!important;padding-top:0!important;padding-bottom:0!important;padding-right:0!important;padding-left:0!important; "&gt;</content:encoded>
      <category>Data Warehousing</category>
      <category>Blog</category>
      <category>AWS</category>
      <category>Amazon Redshift</category>
      <pubDate>Fri, 14 Oct 2016 18:33:35 GMT</pubDate>
      <guid>https://www.kpipartners.com/blog/data-warehousing-and-analytics-using-amazon-redshift</guid>
      <dc:date>2016-10-14T18:33:35Z</dc:date>
      <dc:creator>KPI Partners News Team</dc:creator>
    </item>
    <item>
      <title>Cassandra Installation, Configuration and Multi-Data Center Clustering</title>
      <link>https://www.kpipartners.com/blog/cassandra-installation-configuration-multi-data-center-clustering</link>
      <description>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://www.kpipartners.com/blog/cassandra-installation-configuration-multi-data-center-clustering" title="" class="hs-featured-image-link"&gt; &lt;img src="https://www.kpipartners.com/hubfs/blogs/Cassandra-vs-DataStax.png" alt="Cassandra vs. DataStax" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt; 
&lt;div class="hs-migrated-cms-post"&gt; 
 &lt;h3&gt;&lt;strong&gt;&lt;em&gt;by Santoshkumar Lakkanagaon&lt;/em&gt;&lt;/strong&gt;&lt;/h3&gt; 
 &lt;p&gt;&lt;strong&gt;&lt;span&gt;What are the different types of Cassandra distributions available?&lt;/span&gt;&lt;/strong&gt;&lt;/p&gt; 
 &lt;ul&gt; 
  &lt;li&gt;&lt;span&gt;Open Source Apache Cassandra (&lt;a href="http://www.github.com/apache/cassandra"&gt;GitHub&lt;/a&gt;)&lt;/span&gt;&lt;/li&gt; 
  &lt;li&gt;&lt;span&gt;&lt;a href="http://www.planetcassandra.org/download/datastaxcommunityedition"&gt;DataStax Community Edition&lt;/a&gt; (free for development and production)&lt;/span&gt;&lt;/li&gt; 
  &lt;li&gt;&lt;span&gt;&lt;a href="http://www.datastax.com/download"&gt;DataStax Enterprise with OpsCenter, DevCenter and Drivers&lt;/a&gt; (free for development and license required for production)&lt;br&gt;&lt;/span&gt;&lt;/li&gt; 
 &lt;/ul&gt; 
&lt;/div&gt;</description>
      <content:encoded>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://www.kpipartners.com/blog/cassandra-installation-configuration-multi-data-center-clustering" title="" class="hs-featured-image-link"&gt; &lt;img src="https://www.kpipartners.com/hubfs/blogs/Cassandra-vs-DataStax.png" alt="Cassandra vs. DataStax" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt; 
&lt;div class="hs-migrated-cms-post"&gt; 
 &lt;h3&gt;&lt;strong&gt;&lt;em&gt;by Santoshkumar Lakkanagaon&lt;/em&gt;&lt;/strong&gt;&lt;/h3&gt; 
 &lt;p&gt;&lt;strong&gt;&lt;span&gt;What are the different types of Cassandra distributions available?&lt;/span&gt;&lt;/strong&gt;&lt;/p&gt; 
 &lt;ul&gt; 
  &lt;li&gt;&lt;span&gt;Open Source Apache Cassandra (&lt;a href="http://www.github.com/apache/cassandra"&gt;GitHub&lt;/a&gt;)&lt;/span&gt;&lt;/li&gt; 
  &lt;li&gt;&lt;span&gt;&lt;a href="http://www.planetcassandra.org/download/datastaxcommunityedition"&gt;DataStax Community Edition&lt;/a&gt; (free for development and production)&lt;/span&gt;&lt;/li&gt; 
  &lt;li&gt;&lt;span&gt;&lt;a href="http://www.datastax.com/download"&gt;DataStax Enterprise with OpsCenter, DevCenter and Drivers&lt;/a&gt; (free for development and license required for production)&lt;br&gt;&lt;/span&gt;&lt;/li&gt; 
 &lt;/ul&gt; 
&lt;/div&gt;  
&lt;img src="https://track-na2.hubspot.com/__ptq.gif?a=104260&amp;amp;k=14&amp;amp;r=https%3A%2F%2Fwww.kpipartners.com%2Fblog%2Fcassandra-installation-configuration-multi-data-center-clustering&amp;amp;bu=https%253A%252F%252Fwww.kpipartners.com%252Fblog&amp;amp;bvt=rss" alt="" width="1" height="1" style="min-height:1px!important;width:1px!important;border-width:0!important;margin-top:0!important;margin-bottom:0!important;margin-right:0!important;margin-left:0!important;padding-top:0!important;padding-bottom:0!important;padding-right:0!important;padding-left:0!important; "&gt;</content:encoded>
      <category>Blog</category>
      <category>Cassandra</category>
      <category>Cassandra Installation</category>
      <category>Multi-Data Center</category>
      <category>Cassandra Configuration</category>
      <pubDate>Wed, 14 Sep 2016 16:39:43 GMT</pubDate>
      <guid>https://www.kpipartners.com/blog/cassandra-installation-configuration-multi-data-center-clustering</guid>
      <dc:date>2016-09-14T16:39:43Z</dc:date>
      <dc:creator>KPI Partners News Team</dc:creator>
    </item>
  </channel>
</rss>
