Azure Data Lake Storage Gen1 (JSON、Avro、Text、Parquet) Azure Data Lake Storage Gen2 (JSON、Avro、Text、Parquet) Azure Synapse Analytics Azure SQL Database Azure Cosmos DB Azure Data Factory 可以存取超過 80 種原生連接器。 若要納入資料流程中其他來源的資料,請使用 [複製活動] ...
In some cases, the code-free transformation at scale may not meet your requirements. You can use Azure Data Factory to ingest raw data collected from different sources and work with a range of compute resources such as Azure Databricks, Azure HDInsight, or other compute resources to restructure...
The integration runtime also supports dispatching and monitoring transformation activities running on a variety of compute services, such as Azure HDInsight, Azure Machine Learning, SQL Database, and SQL Server. You can deploy one or many instances of the integration runtime as required to move ...
Q: What are the key features of Azure Data Factory? A: Azure Data Factory offers several key features, including data movement and transformation activities, data flow transformations, integration with other Azure services, data monitoring and management, and support for hybrid data integration. Q...
描述Azure Data Factory 轉換類型已完成 100 點經驗值 6 分鐘 對應資料流提供許多不同的轉換類型,可讓您修改資料。 它們分成下列類別:展開表格 類別名稱說明 結構描述修飾元轉換 這些類型的轉換會根據轉換動作來建立新的資料行,以修改接收目的地。 其中一個範例是「衍生的資料行」轉換,它會根據在現有資料...
Data Factory provides a data integration and transformation layer that works across your digital transformation initiatives. Enable citizen integrators and data engineers to drive business and IT-led Analytics/BI. Prepare data, construct ETL and ELT processes, and orchestrate and monitor pipelines code-...
graphical data transformation logic without writing code. The resulting data flows are executed as activities within Azure Data Factory pipelines that use scaled-out Apache Spark clusters. Data flow activities can be engaged via existing Data Factory scheduling, control, flow, and monitoring ca...
Discover Azure Data Factory, the easiest cloud-based hybrid data integration service and solution at an enterprise scale. Build data factories without the need to code.
Azure Data Factory is a low code, no code platform, which is helpful. It provides many prebuilt functionalities that assist in building data pipelines. Also, it facilitates easy transformation with all required functionalities for analytics. Furthermore, it connects to different sources out-of-the...
Activities: Data transfer, transformations, and control flow operations are all examples of activities in azure data factory. Database query, saved procedure name, arguments, script location, and other options can be found in activity configurations. An activity can take one or more input datasets ...