A project that I've been working on for a while now involves the use of Oracle Text, Oracle R Enterprise and Oracle Data Mining. Oracle Text comes with your Oracle Database licence. Oracle R Enterprise and Oracle Data Mining are part of the Oracle Advanced Analytics (extra cost) option.
What I will be doing over the course of 4 or maybe 5 blog posts is how these products can work together to help you gain (more...)
Did you read the title of this blog post! Read it again.
Yes, Yes, I know what you are saying, "SQL cannot produce graphics or charts and particularly not ggplot2 graphics".
You are correct to a certain extent. SQL is rubbish a creating graphics (and I'm being polite).
But with Oracle R Enterprise you can now produce graphics on your data using the embedded R execution feature of Oracle R Enterprise using SQL. In this (more...)
This is the fourth and last blog post in a series that looks at how you can examine the details of predicted clusters using Oracle Data Mining. In the previous blog posts I looked at how to use CLUSER_ID, CLUSTER_PROBABILITY and CLUSTER_SET.
In this blog post we will look at CLUSTER_DISTANCE. We can use the function to determine how close a record is to the centroid of the cluster. Perhaps we can use this to (more...)
I've recently come across the 'googleVis' R package. This allows you to create a variety of different (typical and standard) charts in R but with the look and feel of the charts we can get from a number of different Google sites.
I won't bore you with some examples in the post but I'll point you to a good tutorial on the various charts.
Here is the link to the mini-tutorial.
Before you can use (more...)
With my recent role as CTO/Advisor with www.analytos.com, during most of my conversation with Analytics leaders within the company, all are concern over security. At a recent conversation with another entrepreneur friend, one of his solution was stalled due to SQL injection issue on the cloud ( a valid concern , but is it valid ?) .
During my recent startup sting, cloud Allergy word was coined, and it did make sense, because allergies do exist and (more...)
This is the third blog post on my series on examining the Clusters that were predicted by an Oracle Data Mining model. Check out the previous blog posts.
In the previous posts we were able to list the predicted cluster for each record in our data set. This is the cluster that the records belonged (more...)
Gartner’s latest version of the Magic Quadrant for Business Intelligence and Analytics Platforms (#BIAMQ) caused a lot of noise in the Analytics Market. Gartner and Oracle have different views of this market. Gartner sees a difference; “…between a modern BI and Analytics Platform and a traditional, IT-centric Reporting and Analysis Platform”. It’s clear that Oracle and Gartner have a…Read more Oracle Business Analytics from a different angle
This is the second blog post of my series on examining the clusters that are predicted for by an Oracle Data Mining model for your data. In my previous blog post I should you how to use CLUSTER_ID and CLUSTER_PROBABILITY functions. These are the core of what you will be used when working with clusters and automating the process.
In this blog post I will look at what details are used by the clustering (more...)
In a previous blog post
I gave some details of how you can examine some of the details behind a prediction made using a classification model. This seemed to spark a lot of interest. But before I come back to looking at classification prediction details and other information, this blog post is the first in a 4 part blog post on examining the details of Clusters, as identified by a cluster model created using Oracle (more...)
After 18 months of hard work, Applied OLAP is proud to announce the general availability of the Dodeca Spreadsheet Management System, version 7, and the all-new Dodeca Excel Add-In for Essbase.
The Dodeca Spreadsheet Management System provides customers the ability to automate spreadsheet functionality, reducing the risk of spreadsheet errors while increasing productivity. It combines unprecedented ease-of-use for business users using spreadsheets for planning, budgeting, forecasting, reporting and analysis tasks. It also provides a robust, (more...)
When building predictive models the data scientist can spend a large amount of time examining the models produced and how they work and perform on their hold out sample data sets. They do this to understand is the model gives a good general representation of the data and can identify/predict many different scenarios. When the "best" model has been selected then this is typically deployed is some sort of reporting environment, where a list is (more...)
Oracle Data Visualisation Desktop has the feature of being able to include some advanced analytics. In a previous blog post I showed you how to go about installing Oracle R Distribution on your desktop/client machine. This will allow you to make use of some of the advanced analytics features of Oracle Data Visualization Desktop.
The best way to get started with using the advanced analytics features of Oracle Data Visualization Desktop, is to ignore that (more...)
Oracle Data Visualization comes with all the typical features you have with Visual Analyzer that is part of BICS, DVCS and OBIEE.
An additional install you may want to do is to install the R language for Oracle Data Visualization Desktop. This is required to enable the Advanced Analytics feature of the tool.
After installing Data Visualisation Desktop when you open the Advanced Analytics section and try to add one of the Advanced Analytics graphing (more...)
Using Oracle Data Visualisation is just the same or very similar as to using the Cloud version of the tool.
In this blog post I will walk you through the steps you need to perform the first time you use the Oracle Data Visualization client tool and to quickly create some visualizations.
Step 1 - Create a Connection to your Oracle DB and Schema
After opening Oracle Data Visualisation client tool client on the Data (more...)
After a bit of a long wait Oracle have finally release Oracle Data Visualization for the desktop. The desktop version of this tool is only available for Windows desktops at the moment. I'm sure Oracle will be bringing out versions of other OS soon (I hope).
To get you hands on the Oracle Data Visualization to to the following OTN webpage (click on this image)
After downloading has finished, you can run the installer.
When you install R you also get a set of pre-compiled datasets. These are great for trying out many of the features that are available with R and all the new packages that are being produced on an almost daily basis.
The exact list of data sets available will depend on the version of R that you are using.
To get the list of available data sets in R you can run the following.
Like me, if you are a big user of Discoverer, you would have been alarmed at the news a few years ago that Oracle was dropping the tool.
Well, once I got over my alarm I started to think about how my clients could maximize their use of the at times millions of dollars of investment.
Oracle Corporation’s statement of direction implies that they will not force you off of Discoverer and (more...)
Are you having trouble starting Weblogic on Windows and thus unable to start the WLS_DISCO service? If so, you can start Wenlogic from the command line.
To start Weblogic from the command line, follow these steps:
- Open a CMD window
- Navigate to the bin folder for Weblogic. Mine is located at C:\oracle\Middleware\user_projects\domains\ClassicDomain\bin
- Run startweblogic.cmd
- Provide a username - in my case weblogic
- Provide the password
- When started, leave the CMD window open
Next, I (more...)
While surfing net stumbled upon Big Data Landscape for 2016 image and it was very impressive to see many more new Animals in Big Data Zoo.
Hope This Helps
Sunil S Ranka