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What is Mage Sensitive Data Discovery?

The Mage Sensitive Data Discovery module is designed to reveal concealed data locations within your organization. It enables the detection of hidden information across various data stores, including structured, unstructured, and Big Data environments. Utilizing Natural Language Processing and Artificial Intelligence, this tool is capable of locating data in even the most challenging scenarios. Its patented discovery method guarantees effective identification of sensitive data while keeping false positives to a minimum. You can enhance your data classifications with over 70 existing categories that encompass all widely recognized PII and PHI data types. Furthermore, the module streamlines the discovery process, allowing you to schedule sample scans, complete scans, and incremental scans at your convenience. This versatility ensures that your organization can maintain robust data security measures while efficiently managing data discovery tasks.

What is Endeca Information Discovery?

Oracle Endeca Information Discovery delivers a versatile solution for agile data exploration across organizations, effectively balancing user autonomy with IT oversight. This cutting-edge platform allows for swift and intuitive access to traditional analytics, leveraging existing enterprise resources, alongside unconventional data sources, which empowers businesses to uncover unique insights that drive growth while saving time and reducing expenses. Only Oracle provides a comprehensive enterprise platform that incorporates strong self-service discovery capabilities, expediting decision-making and relieving IT workloads while fostering innovation. Users can easily upload their data into Oracle Endeca Information Discovery to create tailored discovery applications that support in-depth exploration and analysis. Moreover, they can personalize these applications by simply dragging and dropping ready-made components like charts, tables, tag clouds, and maps, greatly improving their ability to visualize and understand data. This not only enables business users to take ownership of their data but also equips them to make well-informed decisions independently, thus enhancing overall organizational efficiency. As a result, this powerful tool encourages a culture of data-driven decision-making throughout the enterprise.

Media

Media

Integrations Supported

Amazon DynamoDB
Apache Parquet
Apache Spark
Azure Databricks
Cloudera
Google Cloud Build
Google Drive
Hadoop
Hemi HL7
Hive
Microsoft Dynamics 365
MongoDB
Oracle Cloud Infrastructure
PostgreSQL
Salesforce
ServiceNow
Snowflake
Teradata QueryGrid
Workday Extend
Zoho CRM

Integrations Supported

Amazon DynamoDB
Apache Parquet
Apache Spark
Azure Databricks
Cloudera
Google Cloud Build
Google Drive
Hadoop
Hemi HL7
Hive
Microsoft Dynamics 365
MongoDB
Oracle Cloud Infrastructure
PostgreSQL
Salesforce
ServiceNow
Snowflake
Teradata QueryGrid
Workday Extend
Zoho CRM

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Mage Data

Date Founded

2014

Company Location

United States

Company Website

magedata.ai/sensitive-data-discovery-catalog/

Company Facts

Organization Name

Oracle

Date Founded

1977

Company Location

United States

Company Website

www.oracle.com/middleware/technologies/endeca.html

Categories and Features

Data Discovery

Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics

Categories and Features

Insight Engines

AI / Machine Learning
Augmented Analytics
Data Aggregation
Data Classification
Data Extraction
Data Source Connectors
Full Text Search
Intent Recognition
Multiple Data Sources
Search / Filter
Sentiment Analysis

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