{
"name": "SampleCopyPipeline",
"properties": {
"activities": [
{
"name": "CopyFromSourceToSink",
"type": "Copy",
"typeProperties": {
"source": { "type": "SqlSource" },
"sink": { "type": "BlobSink" }
},
"inputs": [
{ "referenceName": "SourceSqlDataset", "type": "DatasetReference" }
],
"outputs": [
{ "referenceName": "DestinationBlobDataset", "type": "DatasetReference" }
]
}
]
}
}Azure Data Factory is a cloud-native integration service designed to coordinate movement and refinement of information across varied systems in a controlled, observable manner. It provides a structured way to design workflows that extract content from transactional platforms, reshape it through transformation logic, and deliver curated outputs into analytical repositories. Instead of relying on manual scripts or isolated batch jobs, teams can define parameter-driven pipelines that execute on schedules, respond to events, and scale according to workload demands. Built-in monitoring dashboards offer visibility into execution status, performance metrics, and failure diagnostics, which strengthens operational reliability. With support for hybrid connectivity, it bridges on-premises infrastructure and cloud services, enabling gradual modernization without disrupting existing investments. By combining orchestration, governance, and automation within a unified interface, Azure Data Factory empowers enterprises to streamline integration strategies while maintaining security, compliance, and efficiency.
