Azure Data Factory - Data Flows is a cloud-based data integration service that enables you to create, schedule, and manage data pipelines. Data Flows represent a visual interface that provides a rich, drag-and-drop experience for building data transformation logic. It can p...
Azure Data Factory functions Azure Data Factory consists of several functions that combine to provide your data engineers with a complete data-analytics platform. Connect and collect The first part of the process is to collect the required data from the appropriate data sources. These can be loc...
本文介绍如何通过使用 Azure 数据工厂和 Synapse Pipelines 门户中的“执行 SSIS 包”活动在 Azure 数据工厂管道中运行 SQL Server Integration Services (SSIS) 包。 先决条件 如果还没有 Azure-SSIS Integration Runtime (IR),请按照以下文章中的分步说明创建 IR:教程:预配 Azure-SSIS IR。 使用“执行 SSIS 包”...
The new SnowflakeV2 connector in Azure Data Factory has several key differences compared to the legacy Snowflake connector. One of the most significant differences is that the new connector supports autoscaling, which allows it to automatically adjust its resources based on changes in tr...
這個 Azure Data Factory 管線可用來擷取資料以便與 Azure Machine Learning 搭配使用。 Data Factory 可讓您輕鬆地擷取、轉換和載入 (ETL) 資料。 資料經過轉換並載入到儲存體後,就可以在 Azure Machine Learning 中用來定型機器學習模型。您可以使用原生的 Data Factory 活動和檢測 (例如資料流程) 來處理簡單的資料...
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Based on the selected metric, which is the Failed Activity Runs in the selected Azure Data Factory, you have the option to choose the aggregation method that will be used to display the selected metric, such as Count, Max, Min, Avg or Sum, where the aggregated metric will be drawn direct...
Monitor tab of the Azure Data factory designer portal is the place where you need to go to monitor theAzure Data Factory.Once you get inside the monitor tab you will be greeted with the below screen. Figure 1: Azure Data Factory Monitor Tab ...
Since Power BI is a Microsoft product, integration with other Microsoft products such as Excel, SharePoint, and Azure is easy. This can be an important benefit as many businesses work with Microsoft products. Other advantages include the fact that it’s easy to use, offers real-time data pro...
When developing complex and multi-stage Azure Data Factory pipelines, it becomes harder to test the functionality and the performance of the pipeline as one block. Instead, it is highly recommended to test such pipelines when you develop each stage, so that you can make sure that this stage ...