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What is PowerLine?

Accelerate the development, design, and delivery of applications across a range of services such as databases, storage, computing, security, and networking by automating their configuration and use. The end of support for Windows 7 in January 2020 has made numerous legacy applications outdated, insecure, non-compliant, and more prone to instability. By utilizing PowerLineâ„¢, an Azure SQL database is set up automatically, which guarantees effective management of Azure cloud services tailored for each ReAccess application. It is crucial to act swiftly to maintain your team's productivity; consider reconstructing your app using ReAccess today. With PowerLineâ„¢, ReAccess integrates an advanced Document DB that offers rich contextual information for every data object, enabling better understanding and usage of data. Furthermore, Microsoft's AI and ML services are well-equipped to uncover insights from this data, often leading to process enhancements. In addition, PowerLineâ„¢ provides Azure Active Directory security services for all ReAccess applications, fostering a cohesive application security framework and centralized management. This synergy not only optimizes operations but also significantly boosts compliance and security within your digital infrastructure while also preparing your organization for future challenges.

What is Azure Open Datasets?

Improve the accuracy of your machine learning models by taking advantage of publicly available datasets. Simplify the data discovery and preparation process by accessing curated datasets that are specifically designed for machine learning tasks and can be easily retrieved via Azure services. Consider the various real-world factors that can impact business outcomes. By incorporating features from these curated datasets into your machine learning models, you can enhance the precision of your predictions while reducing the time required for data preparation. Engage with a growing community of data scientists and developers to share and collaborate on datasets. Access extensive insights at scale by utilizing Azure Open Datasets in conjunction with Azure’s tools for machine learning and data analysis. Most Open Datasets are free to use, which means you only pay for the Azure services consumed, such as virtual machines, storage, networking, and machine learning capabilities. The availability of curated open data on Azure not only fosters innovation and collaboration but also creates a supportive ecosystem for data-driven endeavors. This collaborative environment not only boosts model efficiency but also encourages a culture of shared knowledge and resource utilization among users.

Media

Media

Integrations Supported

Microsoft Azure

Integrations Supported

Microsoft Azure

API Availability

Has API

API Availability

Has API

Pricing Information

$99.00/month
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

Intact Partners

Company Location

United States

Company Website

www.itintact.com

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

azure.microsoft.com/en-us/products/open-datasets/

Categories and Features

Application Development

Access Controls/Permissions
Code Assistance
Code Refactoring
Collaboration Tools
Compatibility Testing
Data Modeling
Debugging
Deployment Management
Graphical User Interface
Mobile Development
No-Code
Reporting/Analytics
Software Development
Source Control
Testing Management
Version Control
Web App Development

Categories and Features

Data Management

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

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