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Average Ratings 0 Ratings

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ease
features
design
support

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Description

The increasing risks to security and the rise of stringent privacy laws have necessitated a more cautious approach to handling sensitive information. Oracle Data Masking and Subsetting offers database users a solution to enhance security, streamline compliance efforts, and lower IT expenses by sanitizing production data copies for use in testing, development, and various other functions, while also allowing for the removal of superfluous data. This tool allows for the extraction, obfuscation, and sharing of both full copies and subsets of application data with partners, whether they are within or outside the organization. By doing so, it ensures the database's integrity remains intact, thus supporting the ongoing functionality of applications. Additionally, Application Data Modeling automatically identifies columns within Oracle Database tables that contain sensitive data through established discovery patterns, including national IDs, credit card details, and other forms of personally identifiable information. Furthermore, it can recognize and map parent-child relationships that are defined within the database structure, enhancing the overall data management process.

Description

Oracle Data Miner empowers data scientists, "citizen data scientists," along with business and data analysts to interact seamlessly with data within the database through an intuitive graphical interface that utilizes a "drag and drop" workflow editor. As an extension of Oracle SQL Developer, Oracle Data Miner (ODMr) effectively captures and visually documents the analytical processes users follow while delving into data and crafting machine learning techniques. The workflows created with ODMr are instrumental for not only re-executing analytical methods but also for facilitating knowledge sharing among team members. Moreover, ODMr efficiently produces SQL and PL/SQL scripts while providing a workflow API that streamlines the deployment of models across the organization. By minimizing data movement, ensuring scalability for big data, maintaining security, and speeding up the transition from model development to deployment, organizations can effectively harness their data assets. This enhanced approach ultimately leads to more informed decision-making and improved business outcomes.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

IBM Db2 Yes 
IBM Informix Yes 
MySQL Yes 
Oracle Database Yes 
Oracle E-Business Suite Yes 
SQL Server Yes 

Integrations

IBM Db2 No 
IBM Informix No 
MySQL No 
Oracle Database No 
Oracle E-Business Suite No 
SQL Server No 

Pricing Details

$230 one-time payment
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Oracle

Founded

1977

Country

United States

Website

www.oracle.com/database/technologies/security/data-masking-subsetting.html

Vendor Details

Company Name

Oracle

Founded

1977

Country

United States

Website

www.oracle.com/database/technologies/datawarehouse-bigdata/dataminer.html

Product Features

Product Features

Data Mining

Data Extraction No 
Data Visualization No 
Fraud Detection Yes 
Linked Data Management No 
Machine Learning No 
Predictive Modeling Yes 
Semantic Search No 
Statistical Analysis Yes 
Text Mining No 

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