Back at the end of January Oracle finally go round to releasing the updated version of the Oracle BigDataLite virtual machine. Check out my previous blog post of this.
Yesterday (27th March) I say on Facebook that a new updated versions of the BigDataLite VM was released. I must have missed the tweet and other publicity on this somewhere :-(
This is a great VM that allows you to play with the various Big Data (more...)
In a previous post I gave a an overview of the various in-database data mining algorithms that you can use in your Oracle R Enterprise scripts.
To create data mining models based on those algorithms you need to use the ore.odm functions.
After you have developed and tested your models you will select one of these to score your new data.
How can you do this using ORE? There is a suite of ORE (more...)
Oracle R Enterprise is the version of R that Oracle has that runs in the database instead of on your laptop or desktop.
Oracle already has a significant number of data mining algorithms in the database. With ORE they have exposed these so that they can be easily called from your R (ORE) scripts.
To access these in-database data mining algorithms you will need to use the ore.odm package.
ORE is continually being developed (more...)
The title of this blog post makes it sound more dramatic than it actually is.
The reason for this blog post is down to me receiving a recent comment on the blog, plus having received numerous emails and a recent OTN Discussion Forum topic for Oracle Data Mining.
The main thing that they have in common is that if I use the latest version of Oracle Data Mining (ODM) it tells me that I need (more...)
Oracle R Enterprise (ORE) 1.4 has just been released and can downloaded from here. Remember there is a client and server side install required and ORE 1.4 is certified against R 3.0.1 and the Oracle R Distribution
One of the interesting new features is the PARALLEL option. You can set this to significantly improve the performance of your R server side code by using the PARALLEL database option. You can set (more...)
In Oracle Data Miner you can use the Explore Node to gather an initial set of statistics for your dataset. As part of this you will also get a bar chart that shows the distributions of the values contained within each attribute. The following example shows the default layout of the bar charts.
These graphs a very useful for presenting the initial data exploration results from to your business users. In addition to these graphs (more...)
With the recent release of SQL Developer 4.0.1 there has been some very minor bug fixes for Oracle Data Miner. But there has been one particular enhancement that I wanted to have a look at. This blog post will look at this new feature and how you can use it too. In the previously released version of the Oracle Data Miner tool we had a Graph Node. This is really a new feature (more...)