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What is Microsoft Azure?

Microsoft Azure is a dynamic cloud computing platform designed to streamline the development, testing, and management of applications with speed and security. By leveraging Azure, you can creatively turn your ideas into effective solutions, taking advantage of more than 100 services that support building, deploying, and managing applications across various environments such as the cloud, on-premises, or at the edge, all while using your preferred tools and frameworks. The ongoing innovations from Microsoft ensure that your current development requirements are met while also setting the stage for your future product goals. With a strong commitment to open-source values and support for all programming languages and frameworks, Azure grants you the flexibility to create and deploy in a manner that best fits your needs. Whether your infrastructure is on-premises, cloud-based, or edge-focused, Azure is equipped to evolve alongside your existing setup. It also provides specialized services for hybrid cloud frameworks, allowing for smooth integration and effective management. Security is a key pillar of Azure, underpinned by a skilled team and proactive compliance strategies that are trusted by a wide range of organizations, including enterprises, governments, and startups. With Azure, you gain a dependable cloud solution, supported by outstanding performance metrics that confirm its reliability. Furthermore, this platform not only addresses your immediate requirements but also prepares you for the future's dynamic challenges while fostering a culture of innovation and growth.

What is Azure Analysis Services?

Leverage Azure Resource Manager to quickly create and deploy an Azure Analysis Services instance, which allows for the efficient backup and restoration of your existing models to the cloud platform, thus taking advantage of its scalability, flexibility, and management features. This service can be easily adjusted in terms of scale—whether you need to increase, decrease, or temporarily halt operations—ensuring that you only pay for the resources you actually use. By integrating data from various sources into a unified and user-friendly BI semantic model, you can promote clarity and ease of access. This method enhances self-service capabilities and encourages data exploration among business users by simplifying both the presentation of data and its underlying structure. As a result, the time needed to generate insights from large and complex datasets is significantly reduced, while quick response capabilities ensure that your BI solutions meet the needs of business users and adapt to changing requirements. Additionally, you can connect to real-time operational data through DirectQuery, keeping you informed about the dynamics within your organization, and utilize your preferred data visualization tools to bring these insights to life, fostering a deeper understanding of your data landscape. This comprehensive approach not only supports better decision-making but also encourages a culture of data-driven insights throughout the organization.

Media

Media

Integrations Supported

AnalyticsCreator
Azure Marketplace
Appen
Bauwise
Crosser
Datametica
Davisware Vision
EY Global Tax Platform
Genymotion
Guardiso
Hardis Group
IT-Conductor
Itron Enterprise Meter Data Management
Lamini
ManageEngine M365 Manager Plus
Necto
Red Hat Advanced Cluster Management
SafeStor
Soracom
VNS3

Integrations Supported

AnalyticsCreator
Azure Marketplace

API Availability

API Availability

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Pricing Information

$0.81 per hour
Free Trial Offered?

Supported Platforms

SaaS
Windows
On-Prem

Supported Platforms

SaaS

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
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

azure.microsoft.com/en-us/

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

azure.microsoft.com/en-us/services/analysis-services/

Categories and Features

AI Cloud Providers

Not specified

Big Data

Not specified

Block Storage

Not specified

Cloud Hosting

Not specified

Cloud Management

Not specified

Cloud Storage

Access Control
Archiving & Retention
Backup
Version Control

Hybrid Cloud

Not specified

Hybrid Cloud Storage

Not specified

Infrastructure-as-a-Service (IaaS)

Analytics / Reporting
Configuration Management
Data Migration
Data Security
Load Balancing
Log Access
Network Monitoring
Performance Monitoring
SLA Monitoring

Object Storage

Not specified

Web Hosting

Not specified

Categories and Features

Big Data

Not specified

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