What is dataset in Azure Data Factory?
Datasets identify data within the linked data stores, such as SQL tables, files, folders, and documents. For example, an Azure Storage linked service links a storage account to the data factory. An Azure Blob dataset represents the blob container and the folder that contains the input blobs to be processed.Click to see full answer. Consequently,…
Datasets identify data within the linked data stores, such as SQL tables, files, folders, and documents. For example, an Azure Storage linked service links a storage account to the data factory. An Azure Blob dataset represents the blob container and the folder that contains the input blobs to be processed.Click to see full answer. Consequently, what is data factory in Azure?The Azure Data Factory (ADF) is a service designed to allow developers to integrate disparate data sources. Instead, data processing is enabled initially through Hive, Pig and custom C# activities. Such activities can be used to clean data, mask data fields, and transform data in a wide variety of complex ways.Also Know, what is dataset in ADF? According to the ADF documentation: A dataset is a named view of data that simply points or references the data you want to use in your activities as inputs and outputs. These datasets are visible within my data factory. Furthermore, how do I setup my Azure data factory? Create a data factory Launch Microsoft Edge or Google Chrome web browser. Go to the Azure portal. From the Azure portal menu, select Create a resource. Select Analytics, and then select Data Factory. On the New data factory page, enter ADFTutorialDataFactory for Name. How does Azure data/factory work?Azure 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. Azure Data Factory does not store any data itself.
