Tuesday Nov 12, 2013

Oracle Big Data Learning Library

Click on LEARN BY PRODUCT to view all learning resources.

Oracle Big Data Essentials

Attend this Oracle University Course!

Using Oracle NoSQL Database

Attend this Oracle University class!

Oracle and Big Data on OTN

See the latest resource on OTN.

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Friday Jun 08, 2012

New Oracle Advanced Analytics presentation

I recently updated my presentation on Oracle's new Advanced Analytics Option which bundles Oracle Data Mining with Oracle R Enterprise for maximum depth and breadth of data mining, statistics and advanced analytic functions from Oracle.  See New Oracle Advanced Analytics presentation.  

Tuesday May 29, 2012

Fraud and Anomaly Detection using Oracle Data Mining YouTube-like Video

I've created and recorded another YouTube-like presentation and "live" demos of Oracle Advanced Analytics Option, this time focusing on Fraud and Anomaly Detection using Oracle Data Mining.  [Note:  It is a large MP4 file that will open and play in place.  The sound quality is weak so you may need to turn up the volume.]

Data is your most valuable asset. It represents the entire history of your organization and its interactions with your customers.  Predictive analytics leverages data to discover patterns, relationships and to help you even make informed predictions.   Oracle Data Mining (ODM) automatically discovers relationships hidden in data.  Predictive models and insights discovered with ODM address business problems such as:  predicting customer behavior, detecting fraud, analyzing market baskets, profiling and loyalty.  Oracle Data Mining, part of the Oracle Advanced Analytics (OAA) Option to the Oracle Database EE, embeds 12 high performance data mining algorithms in the SQL kernel of the Oracle Database. This eliminates data movement, delivers scalability and maintains security. 

But, how do you find these very important needles or possibly fraudulent transactions and huge haystacks of data? Oracle Data Mining’s 1 Class Support Vector Machine algorithm is specifically designed to identify rare or anomalous records.  Oracle Data Mining's 1-Class SVM anomaly detection algorithm trains on what it believes to be considered “normal” records, build a descriptive and predictive model which can then be used to flags records that, on a multi-dimensional basis, appear to not fit in--or be different.  Combined with clustering techniques to sort transactions into more homogeneous sub-populations for more focused anomaly detection analysis and Oracle Business Intelligence, Enterprise Applications and/or real-time environments to "deploy" fraud detection, Oracle Data Mining delivers a powerful advanced analytical platform for solving important problems.  With OAA/ODM you can find suspicious expense report submissions, flag non-compliant tax submissions, fight fraud in healthcare claims and save huge amounts of money in fraudulent claims  and abuse.  

This presentation and several brief demos will show Oracle Data Mining's fraud and anomaly detection capabilities.  


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Thursday May 10, 2012

Oracle Data Mining Virtual Classes Scheduled

Two Oracle Data Mining Virtual Classes are now scheduled.  Register for a course in 2 easy steps.

Step 1: Select your Live Virtual Class options

Select


Live Virtual Class
Course ID: D76362GC10
Course Title: Oracle Database 11g: Data Mining Techniques
NEW
Duration: 2 Days
Price: US$ 1,300 Dollars

Step 2: Select the date and location of your Live Virtual Class

Please select a location below then click on the Add to Cart button

i

Location  Duration Class Date Class Start Time Class End Time Course Materials Instruction Language Seats Audience Employees
Online 2 Days 09-Aug-2012 04:00 AM EDT 12:00 PM EDT English English Available Public Employees
Online 2 Days 18-Oct-2012 04:00 AM EDT 12:00 PM EDT English English Available Public Employees

100% Student Satisfaction: Oracle's 100% Student Satisfaction program applies to those publicly scheduled and publicly available Oracle University Instructor Led Training classes that are identified as part of the 100% Student Satisfaction program on the http://www.oracle.com/education website at the time the class is purchased. Oracle will permit unsatisfied students to retake the class, subject to terms and conditions. Customers are not entitled to a refund. For more information and additional terms, conditions and restrictions that apply, click here

Wednesday Apr 04, 2012

Recorded YouTube-like presentation and "live" demos of Oracle Advanced Analytics/Oracle Data Mining

Ever want to just sit and watch a YouTube-like presentation and "live" demos of Oracle Advanced Analytics/Oracle Data Mining?  Then click here! (plays large MP4 file in a browser)

This 1+ hour long session focuses primarily on the Oracle Data Mining component of the Oracle Advanced Analytics Option and is tied to the Oracle SQL Developer Days virtual and onsite events.   I cover:

  • Big Data + Big Data Analytics
  • Competing on analytics & value proposition
  • What is data mining?
  • Typical use cases
  • Oracle Data Mining high performance in-database SQL based data mining functions
  • Exadata "smart scan" scoring
  • Oracle Data Miner GUI (an Extension that ships with SQL Developer)
  • Oracle Business Intelligence EE + Oracle Data Mining results/predictions in dashboards
  • Applications "powered by Oracle Data Mining for factory installed predictive analytics methodologies
  • Oracle R Enterprise

Please contact charlie.berger@oracle.com should you have any questions.  Hope you enjoy! 

Charlie Berger, Sr. Director of Product Management, Oracle Data Mining & Advanced Analytics, Oracle Corporation

Friday Mar 23, 2012

NEW 2-Day Instructor Led Course on Oracle Data Mining Now Available!

A NEW 2-Day Instructor Led Course on Oracle Data Mining has been developed for customers and anyone wanting to learn more about data mining, predictive analytics and knowledge discovery inside the Oracle Database.  To register interest in attending the class, click here and submit your preferred format.

Course Objectives:

  • Explain basic data mining concepts and describe the benefits of predictive analysis
  • Understand primary data mining tasks, and describe the key steps of a data mining process
  • Use the Oracle Data Miner to build,evaluate, and apply multiple data mining models
  • Use Oracle Data Mining's predictions and insights to address many kinds of business problems, including: Predict individual behavior, Predict values, Find co-occurring events
  • Learn how to deploy data mining results for real-time access by end-users

Five reasons why you should attend this 2 day Oracle Data Mining Oracle University course. With Oracle Data Mining, a component of the Oracle Advanced Analytics Option, you will learn to gain insight and foresight to:

  • Go beyond simple BI and dashboards about the past. This course will teach you about "data mining" and "predictive analytics", analytical techniques that can provide huge competitive advantage
  • Take advantage of your data and investment in Oracle technology
  • Leverage all the data in your data warehouse, customer data, service data, sales data, customer comments and other unstructured data, point of sale (POS) data, to build and deploy predictive models throughout the enterprise.
  • Learn how to explore and understand your data and find patterns and relationships that were previously hidden
  • Focus on solving strategic challenges to the business, for example, targeting "best customers" with the right offer, identifying product bundles, detecting anomalies and potential fraud, finding natural customer segments and gaining customer insight.

UDDATED for Oracle Database 12c & SQLDEV 4.0: Evaluating Oracle Data Mining Has Never Been Easier - Evaluation "Kit" Available

UPDATED (March 2014) for ORACLE DATABASE 12c & SQL DEVELOPER 4.0 (with ORACLE DATA MINER 4.0)  Extension

The Oracle Advanced Analytics Option turns the database into an enterprise-wide analytical platform that can quickly deliver enterprise-wide predictive analytics and actionable insights. Oracle Advanced Analytics empowers data and business analysts to extract knowledge, discover new insights and make predictions—working directly with large data volumes in the Oracle Database. Oracle Advanced Analytics, an Option of Oracle Database Enterprise Edition, offers a combination of powerful in-database algorithms and integration with open source R algorithms accessible via SQL and R languages and provides a range of GUI (Oracle Data Miner) and IDE (R client, RStudio, etc.) options targeting business users, data analysts, application developers and data scientists.

Now you can quickly and easily get set up to starting using Oracle Data Mining, the SQL API & GUI component of the Oracle Advanced Analytics Database Option for evaluation purposes. Just go to the Oracle Technology Network (OTN) and follow these simple steps.

Oracle Data Mining Evaluation "Kit" Instructions

Step 1: Download and Install the Oracle Database 12c

Step 2: Install SQL Developer 4.0 (the Oracle Data Miner GUI Extension installs automatically but additional post installation Set Up in required.  See Setting Up Oracle Data Miner )

Step 3: Follow the six (6) free step-by-step Oracle-by-Examples Tutorials:

  • Setting Up Oracle Data Miner 4.0   This tutorial covers the process of setting up Oracle Data Miner for use within Oracle SQL Developer 4.0.
  • Using Oracle Data Miner 4.0 This tutorial covers the use of Oracle Data Miner 4.0 to perform data mining against Oracle Database 12c. In this lesson, you examine and solve a data mining business problem by using the Oracle Data Miner graphical user interface (GUI). The Oracle Data Miner GUI is included as an extension of Oracle SQL Developer, version 4.0.
  • Using Feature Selection and Generation with GLM This tutorial covers the use of Oracle Data Miner 4.0 to leverage enhancements to the Oracle implementation of Generalized Liner Models (GLM) for Oracle Database 12c. These enhancements include support for Feature Selection and Generation.
  • Text Mining with an EM Clustering Model This tutorial covers the use of Oracle Data Miner 4.0 to leverage new text mining enhancements while applying a clustering model. In this lesson, you learn how to use the Expectation Maximization (EM) algorithm in a clustering model.
  • Using Predictive Queries With Oracle Data Miner 4.0 This tutorial covers the use of Predictive Queries against mining data by using Oracle Data Miner 4.0.
  • Using the SQL Query Node in a Data Miner Workflow This tutorial covers the use of the new SQL Query Node in an Oracle Data Miner 4.0 workflow.

That’s it!  Easy, fun and the fastest way to get started evaluating Oracle Advanced Analytics/Oracle Data Mining.  Enjoy!  

Charlie

Note: There are also four (4) additional Oracle Data Miner 3.2 Tutorials that are similar that may be helpful to review.

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Monday Sep 19, 2011

Building Predictive Analytical Applications using Oracle Data Mining recorded webcast

I did a Building Predictive Analytical Applications using Oracle Data Mining recorded webcast for IOUG earlier this week.  If this interests you, you can either watch the streaming presentation and demo hosted by the Independent Oracle User Group at http://www.ioug.org/ in conjunction with the Oracle Business Intelligence, Wartehousing and Analytics Special Interest Group (BIWA SIG at www.oraclebiwa.org) or the download the 84 MB file by clicking on this link to the Building Predictive Analytical Applications using Oracle Data Mining.wmv file.   It included an overview of data mining, Oracle Data Mining, some demo slides, and then several example applications where we've factory-installed ODM predictive analytics methodologies into the Appls for self-learning and real-time deployment of ODM models. 

Example Predictive Analytics Applications (partial list)
  • Oracle Communications  & Retail Industry Models —factory installed data mining for specific industries
  • Oracle Spend Classification
  • Oracle Fusion Human Capital Management (HCM)  Predictive Workforce
  • Oracle Fusion Customer Relationship Management (CRM) Sales Prediction
  • Oracle Adaptive Access Manager real-time Security
  • Oracle Complex Event Processing integrated with ODM models
  • Predictive Incident Monitoring Service for Oracle Database customers

Pretty cool stuff if you or your customers are interested in analytics.  Here's the link to the ppt slides.    

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