Azure Data Factory
Azure Data Factory is a cloud-based data integration service that allows you to create data-driven workflows for orchestrating and automating data movement and transformation.
Facing Challenges in Data Integration?
- Complex and time-consuming data migration processes 
- Difficulty in managing and orchestrating data pipelines 
- Lack of scalability and flexibility in data transformation 
Simplify Data Integration with Azure Data Factory
- Automate data movement and transformation with ease 
- Leverage a wide range of built-in connectors for seamless integration 
- Scale your data workflows effortlessly to meet growing demands 

Key Features
Code-Free Data Transformation
Design and implement data transformations without writing code, using an intuitive visual interface.
Built-In Connectors
Integrate with over 90 built-in connectors to various data sources and destinations.
Scalable Data Pipelines
Create and manage data pipelines that scale according to your business needs.
Monitoring and Management
Monitor your data workflows in real-time and manage them efficiently.
Key Benefits
- Accelerate data integration processes 
- Reduce operational costs with automated workflows 
- Enhance data quality and consistency 
- Improve decision-making with timely data insights 
Industry Use Cases

Healthcare
Integrate patient data from various sources to provide comprehensive healthcare solutions.

Finance
Automate financial data processing for real-time analytics and reporting.

Retail
Consolidate sales and inventory data to optimize supply chain management.
Azure Data Factory vs. Traditional ETL Tools
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Schedule a Free ConsultationFrequently Asked Questions
Azure Data Factory is a cloud-based data integration service that enables the creation of data-driven workflows for orchestrating and automating data movement and transformation.
Yes, Azure Data Factory supports integration with on-premises data sources through the use of self-hosted integration runtimes.
No, Azure Data Factory offers a code-free interface for designing data workflows, though it also supports custom coding for advanced scenarios.