Azure Data Factory (ADF) is a managed cloud service designed for hybrid data integration, enabling the creation of ETL (Extract, Transform, Load) pipelines via a visual, code-free interface. It orchestrates data movement and transformation across varied sources using key components like pipelines, linked services, and Integration Runtimes. For more details, visit Microsoft Learn. Azure Data Factory - Data Integration Service
// Get pipeline runs List<PipelineRun> pipelineRuns = dataFactory.pipelineRuns().list("myPipeline");Step 2: Create a Pipeline
Git Integration:
Following the Javatpoint lessons, Ravi built his first pipeline. He watched in awe as data flowed seamlessly from an old SQL Server into a modern Azure Data Lake. He set up "Triggers" to ensure the data moved automatically every night while he slept. By the time he finished the Javatpoint guide, the once-chaotic flood was a perfectly organized river of insights. Ravi was no longer just a student; he had become a Data Engineer, all thanks to the simple, clear path laid out by his favorite learning companion. Master ADF with These Javatpoint Concepts javatpoint azure data factory