Data Factory

Hybrid data integration at scale, made easy

Customers using Azure Data Factory

Overview

Azure Data Factory is a hybrid data integration service that allows you to create, schedule and orchestrate your ETL/ELT workflows at scale wherever your data lives, in cloud or self-hosted network. Meet your security and compliance needs while taking advantage of ADF’s extensive capabilities.

Ingest and prepare

Use Azure Data Factory, a globally-deployed data movement service in the cloud, to ingest data from multiple on-premises and cloud sources. Orchestrate your data integration workflows wherever your data lives, accelerate your data integration with multiple data connectors and prepare and partition your data as you ingest it or apply pre-processing steps.

Transform and analyse

Schedule and manage your data transformation and analysis process. Choose from a wide range of processing services and put them into managed data pipelines to use the best tool for the job. For example, add a Hadoop processing step for big or semi-structured data, a stored procedure invocation step for structured data, a machine-learning step for analytics or insert your own custom code as a processing step in any pipeline.

Publish and consume

Use data pipelines to transform raw data into finished or shaped data that is ready for consumption by BI tools or applications. Get your valuable data where it needs to go for consumption by your on-premises or cloud applications and services.

Monitor and manage

Monitor and manage your network of data pipelines at a glance to identify issues and take action. Easily understand when data arrives, where it comes from and how and when it is ready for processing. Set up alerts to monitor your overall Data Factory service health. Save time and money by automating your data pipelines with on-demand cloud resource management.

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Get started with Data Factory today