Azure Data Factory是一個雲端式資料整合服務,可協助您建立及排程以資料驅動的工作流程。 您可以使用 Azure Data Factory,大規模協調資料移動及轉換資料。 資料驅動工作流程 (或「管線」) 會從不同的資料存放區擷取資料。 Azure Data Factory 是 ETL 資料整合程序,代表擷取、轉換和載入。 此整合程序會將多個資料來...
Azure 数据工厂是一项基于云的数据集成服务,可以帮助你创建和调度数据驱动的工作流。 可以使用 Azure 数据工厂来安排数据移动和大规模转换数据。 数据驱动的工作流或管道从不同的数据存储中引入数据。 Azure 数据工厂是一个 ETL 数据集成过程,代表提取、转换和加载。 此集成过程将多个数据源中的数据合并到单个数据存储...
Learn how to design an enterprise-hardened workload for Azure Data Factory on Azure landing zones to build robust and efficient data pipelines.
Learn how to design a mission-critical workload for Azure Data Factory on Azure landing zones to build robust and efficient data pipelines.
it is not wise to split your ETL processes into multiple small processes. Running multiple modular processes one after another might be a good design for on-premises platforms with no latency. However the same design ported to Azure data factory as is can give unexpected results. So it ...
How can we limit the amount if IP Addresses we come from when using "Data Flows" in Azure Data Factory? When just using scripts in a pipeline we can for example use the "small" amount of public IP's we have in Azure Data Factory West Europe segment BUT! when using Data Flow this ...
Validate your data prep logic in real timeas you design your wrangling data flows. Operationalizeyour wrangling data flows as a step in your ETL process end to end, using a visual, drag-and-drop environment. Get started Learn more Azure Data Factory ...
Validate your data prep logic in real timeas you design your wrangling data flows. Operationalizeyour wrangling data flows as a step in your ETL process end to end, using a visual, drag-and-drop environment. Get started Learn more Azure Data Factory ...
Visual representation of any database is more sensitive and easier to understand as compared to written documents. We all know cloud platforms usually have complex designs that are hard to understand. The best solution is to use an Azure architecture diagram to design it in an attractive, clear...
建議:INT96 是 Azure Data Factory 資料流程不支援的舊版時間戳記類型。 請考慮將資料行類型升級為最新類型。 錯誤碼:DF-Executor-FieldNotExist 訊息:結構中的欄位不存在。 原因:運算式中使用的欄位名稱無效或無法使用。 建議:檢查運算式中使用的欄位名稱。