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What is XStream Labs?
The creation of IT Governance platforms tailored for the management of Large Computing Systems, especially those that implement Mainframe technology, seeks to revamp organizational methodologies and reduce financial burdens.
The Challenge:
The high ownership costs linked to Large Computing Systems pose a significant issue for many organizations.
Effective management of the diverse array of customers' Large Computing Systems necessitates a wide range of specialized products and numerous reports.
Crafting and monitoring the principles of effective IT Governance presents a considerable challenge, particularly as the principles struggle to keep pace with the swiftly evolving technological environment.
Moreover, there exists a notable skills gap in the realm of Large Computing Systems, which leads to an increased dependence on system integrators and outsourcing solutions.
The Proposed Solution:
To address these issues, the implementation of real-time tracking of hardware assets combined with the gathering of service delivery metrics will enhance management processes.
A comprehensive platform will be developed to manage both Large Computing Systems and the provision of business services effectively.
The application of Machine Learning technologies will facilitate the automatic categorization of metrics, allowing for their correlation with business service delivery and the related Key Performance Indicators.
This cohesive approach not only boosts operational efficiency but also equips organizations with the necessary agility to adjust to future technological shifts, fostering an environment of continuous improvement and innovation.
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
XStream Labs
Company Location
Italy
Company Website
www.xstream-labs.com
Company Facts
Organization Name
Amazon
Date Founded
1998
Company Location
United States
Company Website
aws.amazon.com/datazone/
Categories and Features
Data Governance
Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management
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
