Azure Data Factory 是一個雲端式擷取、轉換、載入 (ETL) 與資料整合服務,可協助您建立以資料驅動的工作流程並藉此:協調資料移動。 大規模轉換資料。注意 「資料驅動的工作流程」也被稱為管線。藉由使用 Azure Data Factory,您可以將未經處理資料重新組織成有意義的資料存放區和資料湖,讓您能夠做出更好的商務決策。
A: Azure Data Factory is a cloud-based data integration service provided by Microsoft. It allows you to create, schedule, and manage data pipelines that can move and transform data from various sources to different destinations. Q: What are the key features of Azure Data Factory? A: Azure D...
This page highlights new features and recent improvements for Azure Data Factory. Data Factory is a managed cloud service that's built for complex hybrid extract-transform-and-load (ETL), extract-load-and-transform (ELT), and data integration projects.
Azure Data Factory(ADF)is a cloud-based data integration service provided by Microsoft as part of itsAzurecloud platform. It allows you to create, schedule, and manage data driven workflows fororchestratingand automating data movement and transformation. Azure 数据工厂 (ADF) 是 Microsoft 提供的基于...
Azure Data Factory (ADF) is a fully managed, serverless data integration solution for ingesting, preparing, and transforming all your data at scale. It enables every organization in every industry to use it for a rich variety of use cases: data Engineering, migrating their on-premises SSIS pack...
You can find an example of a Power Query mash-up in the tipWhat are Data Flows in Azure Data Factory?as well. The disadvantage of Power Query is that not all functionality of the regular Power Query (as you would have in Power BI Desktop for example) is available in ADF. You can fi...
Azure Data Factory is improved on an ongoing basis. To stay up to date with the most recent developments, refer to the currentWhat's Newpage, which provides you with information about: The latest releases. Known issues. Bug fixes.
Here are some Azure Data Factory best practices that can help you to orchestrate, process, manage and automate the movement of big data. 1. Set up a code repository for the data To get an end-to-end development and release experience, you must set up a code repository for your big data...
Azure Data Factory is improved on an ongoing basis. To stay up to date with the most recent developments, refer to the currentWhat's Newpage, which provides you with information about: The latest releases. Known issues. Bug fixes.
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