Audience

Companies searching for a solution to enhance their organization's data management capabilities

About Amazon DataZone

Amazon DataZone is a data management service that enables customers to catalog, discover, share, and govern data stored across AWS, on-premises, and third-party sources. It allows administrators and data stewards to manage and control access to data using fine-grained controls, ensuring that users have the appropriate level of privileges and context. The service simplifies data access for engineers, data scientists, product managers, analysts, and business users, facilitating data-driven insights through seamless collaboration. Key features of Amazon DataZone include a business data catalog for searching and requesting access to published data, project collaboration tools for managing and monitoring data assets, a web-based portal providing personalized views for data analytics, and governed data sharing workflows to ensure appropriate data access. Additionally, Amazon DataZone automates data discovery and cataloging using machine learning.

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Company Information

Amazon
Founded: 1998
United States
aws.amazon.com/datazone/

Videos and Screen Captures

Amazon DataZone Screenshot 1
Amazon DataZone Screenshot 1
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Product Details

Platforms Supported
Cloud
On-Premises
Training
Documentation
Live Online
Webinars
In Person
Videos
Support
Phone Support
24/7 Live Support
Online

Amazon DataZone Frequently Asked Questions

Q: What kinds of users and organization types does Amazon DataZone work with?
Q: What languages does Amazon DataZone support in their product?
Q: What kind of support options does Amazon DataZone offer?
Q: What other applications or services does Amazon DataZone integrate with?
Q: What type of training does Amazon DataZone provide?

Amazon DataZone Product Features

Data Discovery

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

Data Governance

Roles Management
Email Management
Deletion Management
Policy Management
Process Management
Access Control
Data Profiling
Data Discovery
Storage Management
Data Mapping