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Microsoft Azure Data Factory V2 Data Flow Memory Optimized vCore
Microsoft·MPN: DZH318Z0C12B-002T

Microsoft Azure Data Factory V2 Data Flow Memory Optimized vCore

Unlock powerful data processing capabilities with Microsoft Azure Data Factory V2 Data Flow Memory Optimized vCore, enabling faster and more efficient data transformations for your business.

  • Memory Optimized Performance: Accelerate data flow execution with dedicated memory resources for demanding workloads.
  • Scalable vCore Allocation: Dynamically adjust compute power to match your data processing needs, ensuring optimal performance and cost efficiency.
  • Enhanced Data Transformation: Build and manage complex data pipelines with a visual interface, reducing manual coding and development time.
  • Global Azure Infrastructure: Deploy and manage your data flows within the secure and reliable US West Central Azure region.
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$195.97
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Product Overview

Microsoft Azure Data Factory V2 Data Flow Memory Optimized vCore provides a cloud-based data integration service that allows you to create visual data-driven workflows for orchestrating data movement and transforming data at scale. This offering specifically targets memory-intensive data processing tasks, ensuring high performance for complex transformations.

This service is designed for IT professionals, data engineers, and business analysts within SMB and mid-market organizations who need to build sophisticated data pipelines. It integrates with various data sources and destinations, fitting into environments that require efficient data preparation for analytics, reporting, or operational use cases.

  • Visual Data Transformation: Design complex ETL and ELT processes using a drag-and-drop interface, eliminating the need for extensive coding.
  • Memory Optimized Compute: Leverage dedicated memory resources for data flows that require significant RAM, speeding up execution for large datasets and complex logic.
  • Scalable vCore Provisioning: Adjust the number of virtual cores allocated to your data flows to match processing demands, ensuring performance and cost control.
  • Data Integration Hub: Connect to a wide array of data sources and sinks, facilitating seamless data movement across your hybrid and multi-cloud environments.
  • Managed Cloud Service: Benefit from a fully managed platform that handles infrastructure, patching, and scaling, allowing your team to focus on data logic.

Empower your business with efficient, scalable data transformation capabilities without the overhead of managing on-premises infrastructure.

What This Enables

Accelerate Complex Data Transformations

Enable teams to build and execute intricate data transformation logic visually, significantly reducing development time and manual coding efforts. This allows for faster preparation of data for analytics, reporting, and machine learning models.

cloud-native applications, data warehousing initiatives, business intelligence platforms, hybrid cloud environments

Optimize Memory-Intensive Workloads

Streamline data processing for large datasets or computationally heavy transformations by leveraging dedicated memory-optimized compute resources. This ensures high performance and prevents bottlenecks in your data pipelines.

big data analytics, large-scale ETL processes, real-time data processing, advanced data modeling

Automate Data Integration Pipelines

Automate the orchestration of data movement and transformation across various sources and destinations, ensuring data consistency and availability. This reduces manual intervention and operational overhead for data teams.

data migration projects, recurring data synchronization, data quality management, operational data stores

Key Features

Visual Data Flow Design

Build complex ETL/ELT processes using a drag-and-drop interface, reducing development time and the need for specialized coding skills.

Memory Optimized Compute

Execute memory-intensive data transformations faster and more efficiently, preventing performance bottlenecks for large datasets.

Scalable vCore Allocation

Adjust compute power dynamically to meet processing needs, ensuring optimal performance and cost control for your data workloads.

Broad Data Connectivity

Connect to a wide range of data sources and destinations, facilitating seamless data integration across your entire data landscape.

Managed Cloud Platform

Focus on data logic and business outcomes by offloading infrastructure management, patching, and scaling to Azure.

Industry Applications

Finance & Insurance

Financial institutions require robust data processing for risk analysis, fraud detection, and regulatory compliance, making memory-optimized data flows essential for handling large transaction volumes and complex calculations.

Healthcare & Life Sciences

Healthcare organizations process vast amounts of sensitive patient data for research, diagnostics, and operational efficiency, necessitating secure and high-performance data integration solutions that can handle complex datasets.

Manufacturing & Industrial

Manufacturers leverage data from IoT devices, production lines, and supply chains for optimization and predictive maintenance, requiring efficient data transformation to analyze large volumes of operational data.

Retail & Hospitality

Retailers and hospitality businesses analyze customer behavior, sales data, and inventory levels to optimize operations and personalize experiences, benefiting from accelerated data processing for timely insights.

Frequently Asked Questions

What is a vCore in Azure Data Factory?

A vCore represents a unit of virtualized processing power that Azure Data Factory uses to execute your data flows. The number of vCores you allocate determines the compute capacity available for your data transformations.

How does memory optimization benefit my data flows?

Memory optimization ensures that your data flows have sufficient RAM available to process large datasets or complex transformations without performance degradation. This is crucial for memory-intensive operations.

Can I adjust the vCore allocation after deployment?

Yes, Azure Data Factory allows you to dynamically adjust the number of vCores allocated to your data flows. This enables you to scale compute resources up or down based on your current processing needs and budget.

Deployment & Support

Deployment Complexity

Medium — IT-assisted

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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