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    by Manju Das

    Manual performance optimization in Denodo – Most relevant and most used techniques

    We are going to discuss how to optimize the...

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    by Mohit Mathur

    Not 100% convinced of migrating to AWS Aurora? – READ ME 

    According to latest reports released in February 2019 by leading...

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    by Sristi Raj

    With the advent of cloud data warehouse and analytics tools, concepts like data lake, in-place querying, schema on read and...

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    by Indusree Mavuru

    Most companies today focus on delivering quality and gaining customer satisfaction and in order to accomplish this, the...

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    by Siva Kumar Mopuri

    Security Implementation Benefits

    This solution is beneficial in OLTP applications like Oracle EBS that are integrated...

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    by Chaithanya Kumar Taduvai

    ODI developers usually deal with load plans and mismanaged dependencies between multiple-load plans are...

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    by Dindima Mahesh Jami

    This blog post is intended for those who are familiar with OBIEE or have previously worked on it. It contains step...

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    by Rushendra Prasad

    This blog post offers an insight into the features and functionalities of Google Data Studio and compares it with...

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    by Rushendra Prasad

    To read part 1 of this blog post, please click here.

    This blog post discusses how to integrate Oracle BI server and...

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    by Rushendra Prasad

    This blog post discusses how to integrate Oracle BI server and make use of the existing Subject Areas built on RPD in...

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    by Manju Das

    Manual performance optimization in Denodo – Most relevant and most used techniques

    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.

    by Mohit Mathur

    Not 100% convinced of migrating to AWS Aurora? – READ ME 

    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.

    According to the survey done by Gartner in last quarter of 2018:

    • Organizations of all sizes are moving to cloud solutions, such as core financial applications, for transactional systems of record.
    • Cloud momentum is consistently higher across financial business applications year over year.
    • Business analytics and enterprise business applications continue as top investment initiatives for senior financial executives.

    by Sristi Raj

    With the advent of cloud data warehouse and analytics tools, concepts like data lake, in-place querying, schema on read and data mashup have become a critical and integral part of an organization’s analytics capabilities. Consequently, new tools and features like AWS Redshift spectrum, Athena, Presto, Hive etc. are now playing a game changing role for data analysts to explore and mine data and get value out of existing data assets lying unused within the organization. Although, with so many options to choose from, it becomes utterly necessary to understand the subtle differences between each of them and advantages of each, to select the right tool of choice for a particular use case. With this blog, we will explore some capabilities of Redshift spectrum and advantages of using it in some of the use cases, while keeping the comparison and differences between different tool of choice to a separate blog post.

    by Indusree Mavuru

    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.

    by Siva Kumar Mopuri

    Security Implementation Benefits

    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.

    Note: This blog post considers Oracle EBS as an OLTP source which is integrated with OBIEE.

    by Chaithanya Kumar Taduvai

    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. Here is how we can overcome this issue using the load plan dependency feature of ODI.

    by Dindima Mahesh Jami

    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.

    What is OACS?

    Oracle 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.

    by Rushendra Prasad

    This blog post offers an insight into the features and functionalities of Google Data Studio and compares it with popular data analysis tools like Tableau, QlikView and new entrants like Power BI.

    Disclaimer: This article and all features assessed are as on Sep, 2017 and subject to modifications / enhancements by Google.

    by Rushendra Prasad

    To read part 1 of this blog post, please click here.

    This blog post discusses how to integrate Oracle BI server and make use of the existing Subject Areas built on RPD in Tableau desktop workbook as Data Source.

    This is applicable for 8.2, 8.3, 9.0 and later versions.

    by Rushendra Prasad

    This blog post discusses how to integrate Oracle BI server and make use of the existing Subject Areas built on RPD in Tableau desktop workbook as Data Source.

    This is applicable for 8.2, 8.3, 9.0 and later versions.

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