If you are not satisfied with the choice of column mapping provided by Copy Data tool, you can ignore it and continue with manually mapping the columns. Therefore, you see all the columns have been mapped to the destination in a way you want just after several clicks. Then, it applies the same pattern to the rest of the columns. After you pick one or a few columns from source data store, and map them to the destination schema, the Copy Data tool starts to analyze the pattern for column pairs you picked from both sides. The Copy Data tool monitors and learns your behavior when you are mapping columns between source and destination stores. In this scenario, you need to map columns from the source schema to columns from the destination schema. The schema of data source may not be same as the schema of data destination in many cases. In addition, if the source data is in a text file, the Copy Data tool parses the text file to automatically detect the row and column delimiters, and schema.Īfter the detection, select Preview data: You can preview part of the data from the selected source data store, which allows you to validate the data that is being copied. The tool supports automatic data preview, schema capture and automatic mapping, and data filtering as well. You can use it to move hundreds of folders, files, or tables. The tool is designed with big data in mind from the start, with support for diverse data and object types. Review summary of entities to be created.Įdit the pipeline to update settings for the copy activity as needed. Specify a schedule for the data loading task. This tool allows you to easily move data from a wide variety of sources to destinations in minutes with an intuitive flow:Ĭonfigure advanced settings for the copy operation such as column mapping, performance settings, and fault tolerance settings. Intuitive flow for loading data into a data lake You can see more details in metadata driven copy data. The metadata driven copy task to ease your journey of creating parameterized pipelines and external control table in order to manage to copy large amounts of objects (for example, thousands of tables) at scale. The built-in copy task leads you to create a pipeline within five minutes to replicate data without learning about entities. To start the Copy Data tool, click the Ingest tile on the home page of the Data Factory or Synapse Studio UI.Īfter you launch copy data tool, you will see two types of the tasks: one is built-in copy task and another is metadata driven copy task. You want to chain Copy activity with subsequent activities for cleansing or processing data. You want to quickly load a large number of data artifacts into a data lake. You want to implement complex and flexible logic for loading data into lake. You want to easily build a data loading task without learning about entities (linked services, datasets, pipelines, etc.) per-activity authoring in the UI: Copy Data tool The following table provides guidance on when to use the Copy Data tool vs.
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