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Ratings and Reviews 0 Ratings
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What is Leonovus Data Discovery Tool?
The Leonovus Data Discovery Tool conducts a thorough examination of Server Message Block's network-affiliated file storage, effectively categorizing all data present. This versatile tool can be utilized across various environments and is not tied to any specific vendor. By enabling users to visualize their file servers, it aids in identifying the types of files stored within them. The Data Discovery Tool equips you with crucial insights necessary for developing a file storage strategy that can effectively manage the challenges posed by rapid data growth, including the tiering of seldom accessed, or "cold," data. Furthermore, the Leonovus Smart Filer facilitates the seamless transition of this infrequently used data to more economical cloud or secondary storage solutions. In addition, the Data Discovery Tool constructs a data analytics framework for the file-based data service landscape, offering a comprehensive overview of the volume, age, activity level, and makeup of the data being served. Essentially, it provides a detailed profile of all data stored, which can significantly enhance data management practices. Consequently, this tool not only optimizes storage efficiency but also empowers organizations to make informed decisions regarding their data assets.
What is Amazon DataZone?
Amazon DataZone serves as a robust data management solution, enabling users to efficiently catalog, discover, and share data sourced from AWS, on-premises systems, and external third-party platforms. It provides administrators and data stewards with essential tools to implement precise access controls, ensuring users obtain the appropriate permissions and relevant information. By simplifying data access for professionals such as engineers, data scientists, product managers, analysts, and business users, it encourages data-driven decision-making through improved collaboration. Key features include a business data catalog that aids in searching and requesting access to published data, project collaboration tools that help manage data assets effectively, a user-friendly web portal offering customized views for data analysis, and structured workflows for data sharing that uphold necessary access levels. Furthermore, Amazon DataZone utilizes machine learning to streamline the discovery and cataloging processes, greatly improving operational efficiency. This groundbreaking service not only simplifies the management of data but also cultivates a culture of insight-driven decisions throughout organizations, ultimately leading to enhanced productivity and innovation.
Integrations Supported
AWS Glue
AWS Lake Formation
Amazon Athena
Amazon Redshift
Amazon SageMaker Unified Studio
Amazon Web Services (AWS)
Integrations Supported
AWS Glue
AWS Lake Formation
Amazon Athena
Amazon Redshift
Amazon SageMaker Unified Studio
Amazon Web Services (AWS)
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
Leonovus
Date Founded
2008
Company Location
Canada
Company Website
www.leonovus.com/products/data-discovery-tool
Company Facts
Organization Name
Amazon
Date Founded
1998
Company Location
United States
Company Website
aws.amazon.com/datazone/
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
Data Discovery
Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics
Data Governance
Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management