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Microsoft Azure Data Lake Analytics Capacity
Microsoft·MPN: A4D669F0

Microsoft Azure Data Lake Analytics Capacity

Gain access to Microsoft Azure Data Lake Analytics capacity, enabling large-scale data processing and analysis for your business intelligence needs.

  • Capacity Access: Entitlement to process up to 1 million data units for complex analytical queries.
  • Scalable Processing: Coverage for dynamic scaling of computational resources to meet fluctuating analytical demands.
  • Feature Unlock: Protection against limitations by enabling advanced analytics features within Azure.
  • Compliance Support: Entitlement to utilize compliant data processing tools for regulatory requirements.
Publisher Delivered
Subscription Management
Authorized License
In stock
$0.38
Per User/Year
Billed Annually
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Authorized Reseller

Product Overview

This is a platform licensing subscription for Microsoft Azure Data Lake Analytics, providing capacity for data processing and analysis. It unlocks the ability to run large-scale analytical jobs on data stored in Azure Data Lake.

This service is designed for IT professionals and IT managers within SMB and mid-market companies who need to perform complex data analysis. It integrates with existing Azure environments to support business intelligence and data warehousing initiatives.

  • Data Processing Power: Access to computational resources for running complex analytical queries.
  • Scalability: Ability to dynamically adjust processing capacity based on workload demands.
  • Advanced Analytics: Unlocks features for big data analytics, including U-SQL.
  • Cost Management: Subscription-based model provides predictable operational expenses.
  • Azure Integration: Seamlessly works with other Azure services like Azure Data Lake Storage.

Azure Data Lake Analytics capacity is the right choice for SMB and mid-market teams needing powerful, scalable data processing without the overhead of managing physical infrastructure.

What This Enables

Enable large-scale data transformation jobs

Enable teams to process and transform massive datasets stored in Azure Data Lake for reporting and analytics. Streamline complex data pipelines that require significant computational resources.

cloud-native data warehousing, big data analytics platforms, business intelligence reporting environments, data science workloads

Support advanced business intelligence reporting

Streamline the generation of complex reports by providing the necessary analytical compute power. Automate the extraction of insights from diverse data sources to support strategic decision-making.

data-driven decision making, operational analytics dashboards, financial reporting systems, customer behavior analysis

Facilitate data science and machine learning exploration

Enable data scientists to run computationally intensive experiments and model training on large datasets. Automate the exploration of data patterns and the development of predictive models.

predictive analytics environments, machine learning model development, research and development data analysis, statistical modeling

Key Features

1 Million Data Units Capacity

Provides a defined amount of processing power for analytical queries, ensuring predictable costs for data analysis tasks.

Azure Data Lake Integration

Seamlessly connects with Azure Data Lake Storage, allowing for efficient querying of data without complex data movement.

U-SQL Language Support

Enables the use of a powerful, familiar query language that combines SQL and C# for complex data manipulation and analysis.

Scalable Compute

Allows for dynamic adjustment of processing resources to handle varying analytical workloads, ensuring performance when needed.

Subscription Billing

Offers a predictable, operational expense model for accessing advanced analytics capabilities.

Industry Applications

Finance & Insurance

Financial institutions require robust data analytics for risk assessment, fraud detection, and customer behavior analysis, often involving large datasets and complex queries.

Retail & Hospitality

Retailers and hospitality businesses analyze sales data, customer trends, and inventory management to optimize operations and personalize customer experiences.

Manufacturing & Industrial

Manufacturers use data analytics for process optimization, predictive maintenance, and supply chain management, analyzing sensor data and production logs.

Healthcare & Life Sciences

Healthcare organizations analyze patient data for research, operational efficiency, and compliance, requiring secure and scalable data processing capabilities.

Frequently Asked Questions

What is Microsoft Azure Data Lake Analytics capacity?

This is a licensing subscription that grants you a specific amount of processing power, measured in data units, to run analytical queries using Azure Data Lake Analytics. It allows you to process large datasets without managing the underlying infrastructure.

How is the capacity measured?

Capacity is measured in data units. This subscription provides 1 million data units, which corresponds to the computational resources consumed by your analytical jobs.

Who is this service for?

This service is for businesses, particularly SMBs and mid-market companies, that need to perform large-scale data analysis and business intelligence. It is used by IT professionals and data analysts within these organizations.

Deployment & Support

Deployment Complexity

Low — self-service

Fulfillment

Digital Delivery

License keys / portal provisioning

Support Model

Zent Networks Managed

Renewal, add-license, and lifecycle management included

Subscription Terms

Cancellation

Cancel anytime — no charge on next cycle

You may cancel this subscription at any time. Cancellation takes effect at the end of the current billing period. You will not be charged for the following billing cycle. Access remains active through the end of the paid term.

Returns

Subscription licenses are non-refundable

Digital software licenses and SaaS subscriptions cannot be returned once activated or provisioned. Contact a Zent Networks account manager if you have questions before purchasing.

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