Big Data Strategy

February 26th, 2013.

As dust begins to settle, the hype around Big Data is slowly changing into a more realistic thinking on how to actually make it work. At this point, mostly everyone have heard of Big Data and have a clear understanding of what it is and what could be the benefits of putting in place a Big Data strategy in the company. However, one of the main adoption barriers is still the technical complexity when it comes to envision and deploy a Big Data solution.

These kinds of projects are usually driven by IT and the CIO on the early stages. The key at this point is to identify a use case to prove that the investment on a Big Data project is worthy; this use case has to clearly demonstrate that thanks to the new data analysis strategy new unprecedented insights could be unleashed allowing for game changer decisions to the company.

For many companies this is just the easy part, many CIOs were conscious already of the huge value that the data produced had, and yet they were not able to bring that data in their BI systems due to its size, speed, lack of structure, etc… Now, Big Data seems to make that possible, but the question that remains is: How are we going to do it? Continue reading this post >

Posted under Big Data
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Boosting OBIEE project performance with Exalytics

November 29th, 2012.

As part of the Oracle Engineered Systems portfolio, Oracle Exalytics is as of today under the radar of all companies looking for performing, state-of-the-art BI platforms.

In fact, Exalytics blends specifically chosen hardware components with unique versions of Oracle Business Intelligence software to provide best in class performance by leveraging in-memory database techniques. If you want to read more about Exalytics, click here.

We have been recently working with customers to test the appliance capabilities on their actual OBIEE project implementation. The purpose of this blog entry is to share with you the main challenges and achievements coming from a real-life by the name of realistic Exalytics deployment scenario. Continue reading this post >

Posted under Exalytics, Oracle BI EE
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Oracle Open World 2012- The Value of Data

October 9th, 2012.

Last week the annual Oracle Open World convention took place in San Francisco, and as always there were some interesting announcements about the Oracle analytics suite of products.

As we can see from Mark Hurd´s keynote on the 4th of October, one of the main problems that organizations are going to face in the short future is the growth of data. Continue reading this post >

Posted under Events
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Multi user development using SVN in OBIEE 11.1.1.6

September 4th, 2012.

In many of our projects we need to involve several consultants working on the same OBIEE repository. To cover this necessity OBIEE admin tool traditionally offered the Multi User Development option (MUD) that many of us equally hate and love.

However, since the release 11.1.1.6 there is a new option available to achieve similar functionality and allow teams of OBIEE developers to work concurrently on the same repository. It’s based on the use of a source versioning control tool to track the new developments and highlights the conflicts that might arise.

Apart from being able to use this way to manage our OBIEE repository, this is not a replacement of the old MUD option as each one of these approaches has its unique pros and cons.

In this article I explain how you can have your dev team working on the same RPD using subversion instead of the MUD approach and also what features we gain and lose along the way. Continue reading this post >

Posted under Oracle BI EE 11g
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Capture, route, transform and send data with Oracle GoldenGate

November 15th, 2011.

GoldenGate is a tool that Oracle acquired in 2009 that allows us to capture, route, transform and send data between heterogeneous systems in real time with a very low impact on the source systems.

So basically Oracle GoldenGate (OGG from now on) moves data between point A and point B, but it does it in a brilliant way. Let’s take a look in detail to its main features:

Very low impact on data sources – This means that OGG does not disturb the source systems when fetching new data. In order to achieve that it doesn’t really access the database layer but it’s constantly looking for change in the redo files (or equivalent technology) to know when a transaction has been done.

Heterogeneous Systems – Thanks to the ODBC technology and the VAM (Vendor Access Modules) OGG is able to interconnect a nice amount of database vendors between each other, although only the ones that offers referential integrity can be chosen as source systems.

Real time – Maybe you’ve heard that OGG can transfer data with a sub second latency. That is true if your integration scenario meets some conditions and the physical distance between source and destination is not huge. Anyway, in the worst circumstances we are talking about real low latency times.

antonio 1 Continue reading this post >

Posted under ETL
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