Oracle R Enterprise

Oracle Advanced Analytics Video by Charlie Berger

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Charlie Berger (Sr. Director Product Management, Data Mining & Advanced Analytics) as produced a video based on a recent presentation called ‘Oracle Advanced Analytics: Oracle R Enterprise & Oracle Data Mining’.

This is a 1 hour video, including some demos, of product background, product features, recent developments and new additions, examples of how Oracle is including Oracle Data Mining into their fusion applications, etc.

Oracle has 2 data mining products, with main in-database Oracle Data Mining and the more recent extensions to R to give us Oracle R Enterprise.

Check out the video – Click here.

Check out Charlie’s blog at https://blogs.oracle.com/datamining/

Oracle University : 2 Day Oracle Data Mining training course

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What has Oracle done to R to give us ORE

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Oracle R Enterprise (ORE) was officially launched over the past couple of days and it has been receiving a lot of interest in the press.

We now have the Oracle Advanced Analytics (OAA) option which comprises, the already existing, Oracle Data Mining and now Oracle R Enterprise. In addition to the Oracle Advanced Analytics option we also 2 free set of tools available to use to use. The first of these free tools are the statistical functions which are available in all versions of the Oracle Database and the second free tool is the Oracle Data Miner tool that is part of the newly released SQL Developer 3.1 (7th Feb).

What has Oracle done to Oracle to make Oracle R Enterprise ?

The one of the main challenges with using R is that it is memory constrained, resulting in the amount of data that it can process. So the ORE development team have worked ensuring R can work transparently with data within the database. This removes the need extract the data from the database before it can be used by R. We still get all the advanced on in-Database Data Mining.

They have also embedded R functions within the database, so we an run R code on data within the database. By having these functions with the database, this allows R to use the database parallelism and so we get quicker execution of our code. Most R implementation are constrained to being able to process dataset containing 100Ks of records. With ORE we can now process 10M+ records

In addition to the ORE functions and algorithms that are embedded in the database we can also use the R code to call the suite of data mining algorithms that already exist as part of Oracle Data Miner.

For more details of what Oracle R Enterprise is all about check out the following links.

Oracle Advanced Analytics Options website

ORE Webpage

ORE Blog

ORE Download

ORE Forum