{ "type": "Until", "typeProperties": { "expression": { "value": "<expression that evaluates to true or false>", "type": "Expression" }, "timeout": "", "activities": [ { "<Activity 1 definition>" }, { "<Activity 2 definition>" }, { "<Activity N definition>" } ] },...
{"name":"masterPipeline","properties": {"activities": [ {"type":"ExecutePipeline","typeProperties": {"pipeline": {"referenceName":"invokedPipeline","type":"PipelineReference"},"parameters": {"sourceBlobContainer": {"value":"@pipeline().parameters.masterSourceBlobContainer","type":"Expression...
发现Azure 数据工厂,这是一种企业级的最简单、基于云的混合数据集成服务和解决方案。无需编码即可构建数据工厂。
Azure Data Factory 中一些关键组件: 1,pipeline:这里的 pipeline 要和Azure DevOps 中的 pipeline 概念上有些类似,它是指我们的Azure Data Factory 可以包含一个或者多个 pipeline 。pipeline是有多个Activites组成,来执行一项任务的。如下图所示,这里显示多个pipeline。 2,Activities:一个pipeline 可以有多个 Activitie...
The tipBuild Azure Data Factory Pipeline Dependenciesgives another example of how to use dependencies in a pipeline. You can find a good overview of all the activities inthe official documentation.
Data transformation activitiesto transform data using compute services such as Azure HDInsight and Azure Batch. To move data to/from a data store that the service does not support, or to transform/process data in a way that isn't supported by the service, you can create aCustom activitywith...
Azure Data Factory ForEach Activity The ForEach activity defines a repeating control flow in your pipeline. This activity could be used to iterate over a collection of items and execute specified activities in a loop. This functionality is similar to SSIS'sForeach Loop Container. ...
{ Type = ParameterType.String } } }, Activities =newList<Activity> {newCopyActivity { Name = copyBlobActivity, Inputs =newList<DatasetReference> {newDatasetReference { ReferenceName = blobSourceDatasetName } }, Outputs =newList<DatasetReference> {newDatasetReference { ReferenceName = blobSink...
探索Azure Data Factory,這是最容易使用的企業規模雲端混合式資料整合服務與解決方案。無須撰寫程式碼即可建置資料處理站。
1. Azure Data Factory 数据流简介 Azure Data Factory(ADF)的数据流(Data Flow)是一种可视化的数据转换工具,它旨在简化大规模数据处理和分析任务。数据流允许用户以图形化的方式构建复杂的数据转换逻辑,同时避免了编写复杂代码的需求。这使得数据工程师和数据科学家能够更高效地处理数据,并将重点放在分析和解决业务问...