12/20/2023 0 Comments Learning factory box folder![]() So, what is Azure Data Factory and how does it work? The pipelines (data-driven workflows) in Azure Data Factory typically perform the following three steps: This means the data that is consumed and produced by workflows is time-sliced data, and we can specify the pipeline mode as scheduled (once a day) or one time. The Data Factory service allows you to create data pipelines that move and transform data and then run the pipelines on a specified schedule (hourly, daily, weekly, etc.). It also allows you to monitor and manage workflows using both programmatic and UI mechanisms. It allows you to create data-driven workflows to orchestrate the movement of data between supported data stores and processing of data using compute services in other regions or in an on-premise environment. What is Azure Data Factory?Īzure Data Factory is a cloud-based data integration service that allows you to create data-driven workflows in the cloud for orchestrating and automating data movement and data transformation.Īzure Data Factory does not store any data itself. Then, the results can be published to an on-premise or cloud data store for business intelligence (BI) applications to consume, which is known as Azure Data Factory. ![]() But how does this impact a business when it’s transitioning to the cloud? Will your historic on-premise data be a hindrance if you’re looking to move to the cloud? What is Azure Data Factory? Is it possible to enrich data generated in the cloud by using reference data from on-premise or other disparate data sources?įortunately, Microsoft Azure has answered these questions with a platform that allows users to create a workflow that can ingest data from both on-premise and cloud data stores, and transform or process data by using existing compute services such as Hadoop. The availability of so much data is one of the greatest gifts of our day.
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