Cloud Allergy – Clouds Security and Changing Notion

| Jun 29, 2016

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...)

Cluster Sets using SQL with Oracle Data Mining – Part 3

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...)

Rittman Mead at KScope16

June is the perfect month: summer begins, major football (and futbol) tournaments are in full swing, and of course, KScope16 is on! Rittman Mead have participated in many of the past KScope conferences and will continue that tradition this year with a wide range of presentation and training topics across the Business Intelligence, Data Warehousing, Big Data, and Advanced Analytics subject areas. This year the event is held in Chicago at the Sheraton Grand Chicago, a (more...)

Oracle Business Analytics from a different angle

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

Cluster Details with Oracle Data Mining – Part 2

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...)

Using Jupyter Notebooks with Big Data Discovery 1.2

New in Big Data Discovery 1.2 is the addition of BDD Shell, an integration point with Python. This exposes the datasets and BDD functionality in a Python and PySpark environment, opening up huge possibilities for advanced data science work on BDD datasets. With the ability to push back to Hive and thus BDD data modified in this environment, this is important functionality that will make BDD even more useful for navigating and exploring (more...)

Running Big Data Discovery Shell and Jupyter Notebook on Big Data Lite VM 4.5

New in Big Data Discovery 1.2 is the addition of BDD Shell, an integration point with Python. This exposes the datasets and BDD functionality in a Python and PySpark environment, opening up huge possibilities for advanced data science work on BDD datasets, particularly when used in conjunction with Jupyter Notebooks. With the ability to push back to Hive and thus BDD data modified in this environment, this is important functionality that will make BDD (more...)

Examining predicted Clusters and Cluster details using SQL

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...)

OBIEE 12c – Extended Subject Areas (XSA) and the Data Set Service

One of the big changes in OBIEE 12c for end users is the ability to upload their own data sets and start analysing them directly, without needing to go through the traditional data provisioning and modelling process and associated leadtimes. The implementation of this is one of the big architectural changes of OBIEE 12c, introducing the concept of the Extended Subject Areas (XSA), and the Data Set Service (DSS).

In this article we’ll see some (more...)

BIWA SIG Bijeenkomst op donderdag 26 mei 2016

Donderdag 26 mei 2016 was er een BIWA SIG Bijeenkomst van de OGh. De onderstaande onderwerpen zijn behandeld: Metadata Management met Oracle Enterprise Metadata Management (OEMM). Eric van Ettekoven van Oracle gaf ons een introductie van deze tool waarmee zowel Data Lineage als Impact Analyse van Informatie systemen een stuk eenvoudiger wordt. De presentatie van…Read more BIWA SIG Bijeenkomst op donderdag 26 mei 2016

Announcing the Dodeca Spreadsheet Management System, Version 7 and the Dodeca Excel Add-In for Essbase

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...)

Changes in BI Server Cache Behaviour in OBIEE 12c : OBIS_REFRESH_CACHE

The OBIEE BI Server cache can be a great way of providing a performance boost to response times for end users – so long as it’s implemented carefully. Done wrong, and you’re papering over the cracks and heading for doom; done right, and it’s the ‘icing on the cake’. You can read more about how to use it properly here, and watch a video I did about it here. In this article we’ll see (more...)

PREDICTION_DETAILS function in Oracle

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...)

#IHateYourFace, a BizIntel Love story

Sometimes love isn’t fair

A teenager, just emerging from an awkward growing phase drives a tendency to spew non sensical permutations of varying cringe worthy affections toward their love target.  The data points behind the intent are solid.  Let’s go Boolean now:

Intent of good = 1 ;

attracted to target = 1;

ability to provide for target = 1;

time available  = 1;

prior or current committed relationship = 0.

So here (more...)

Under the Covers of OBIEE 12c Configuration with sysdig

OBIEE 12c has changed quite a lot in how it manages configuration. In OBIEE 11g configuration was based around system MBeans and the biee-domain.xml as the master copy of settings – and if you updated a configuration directly that was centrally managed, it would get reverted back. Now in OBIEE 12c configuration can be managed directly in text files again – but also through EM still (not to mention WLST). Confused? Yep, I (more...)

Data Integration Tips: ODI 12c – Who Changed My Table Names?

It’s Sunday night (well, technically Monday morning now), and we have just enough time for another one of my Data Integration Tips. This one, revolving around Oracle Data Integrator 12c, has been on my mind for some time now, so I figured we better just get it out there. Imagine this; you’ve upgraded from Oracle Data Integrator (ODI) 11g to ODI 12c and executed the first test Mapping. But hey…what happened to my C$ table (more...)

Advanced Analytics in Oracle Data Visualization Desktop

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 Visualisation Desktop : Enabling Advanced Analytics (R)

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.

NewImage

After installing Data Visualisation Desktop when you open the Advanced Analytics section and try to add one of the Advanced Analytics graphing (more...)

Oracle’s New Data Visualization Desktop

A recent addition to the Oracle lineup of visualization tools is the Oracle Data Visualization Desktop. Described by Oracle as a “single user desktop application that provides Oracle Data Visualization functionality to business users,” ODVD is an easy-to-install data visualization tool for Windows 7, 8 or 10 that packs some very powerful features.

I recently had a chance to sit down and explore ODVD and wanted to share some of my first impressions.

At its (more...)

Oracle Data Visualisation : Setting up a Connection to your DB

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...)