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What is Azure Storage?

Microsoft's Azure Storage platform stands out as a sophisticated cloud storage solution specifically designed to meet modern data storage demands. It offers a highly scalable, secure, and efficient environment to handle a wide variety of data formats in the cloud. Users can conveniently access their Azure Storage data from any location around the world via HTTP or HTTPS through a REST API. Furthermore, Azure Storage is compatible with multiple programming languages, supplying client libraries for developers engaged in building applications and services with .NET, Java, Python, JavaScript, C++, and Go. To streamline data management and configuration tasks, both developers and IT professionals can utilize Azure PowerShell and Azure CLI for their scripting needs. For those who favor a more visual approach, the Azure portal and Azure Storage Explorer provide intuitive tools for easy management of Azure Storage. In addition to its user-friendly interfaces, Azure Storage includes essential redundancy features that safeguard your data from temporary hardware failures. There are also options for data replication across multiple data centers or geographical locations, which add an extra layer of protection against local disasters. This comprehensive approach makes Azure Storage a reliable and adaptable option for organizations looking to strengthen their data management practices while ensuring data integrity and availability. The platform's combination of accessibility, security, and flexibility positions it as a leading choice in the cloud storage landscape.

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

Alegion
Azure Database for MariaDB
Azure Service Bus
Azure SignalR Service
Bigtincan
ContraForce
Diplomat Managed File Transfer
Igloo
ImageKit.io
LionO360
NetDrive
Reekoh
Sprinkle
Strongspace
TakeShape
Titan CMS
TruffleHog
Truto
Varada
Zmanda

Integrations Supported

Alegion
Azure Database for MariaDB
Azure Service Bus
Azure SignalR Service
Bigtincan
ContraForce
Diplomat Managed File Transfer
Igloo
ImageKit.io
LionO360
NetDrive
Reekoh
Sprinkle
Strongspace
TakeShape
Titan CMS
TruffleHog
Truto
Varada
Zmanda

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

Microsoft

Date Founded

1975

Company Location

United States

Company Website

docs.microsoft.com/en-us/azure/storage/common/storage-introduction

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

Cloud Storage

Access Control
Archiving & Retention
Backup
Data Migration
Data Synchronization
Encryption
File Sharing
Version Control

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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