Update a dataset
After importing your initial dataset into Amazon SageMaker Canvas, you might have additional data that you want to add to your dataset. For example, you might get inventory data at the end of every week that you want to add to your dataset. Instead of importing your data multiple times, you can update your existing dataset and add or remove files from it.
Note
You can only update datasets that you have imported through local upload or Amazon S3.
You can update your dataset either manually or automatically. For more information about automatic dataset updates, see Configure automatic updates for a dataset.
Every time you update your dataset, Canvas creates a new version of your dataset. You can only use the latest version of your dataset to build a model or generate predictions. For more information about viewing the version history of your dataset, see View your dataset details.
You can also use dataset updates with automated batch predictions, which starts a batch prediction job whenever you update your dataset. For more information, see Batch predictions in SageMaker Canvas.
The following section describes how to do manual updates to your dataset.
Manually update a dataset
To do a manual update, do the following:
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Open the SageMaker Canvas application.
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In the left navigation pane, choose Datasets.
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From the list of datasets, choose the dataset you want to update.
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Choose the Update dataset dropdown menu and choose Manual update. You are taken to the import data workflow.
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From the Data source dropdown menu, choose either Local upload or Amazon S3.
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The page shows you a preview of your data. From here, you can add or remove files from the dataset. If you’re importing tabular data, the schema of the new files (column names and data types) must match the schema of the existing files. Additionally, your new files must not exceed the maximum dataset size or file size. For more information about these limitations, see Import a dataset.
Note
If you add a file with the same name as an existing file in your dataset, the new file overwrites the old version of the file.
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When you’re ready to save your changes, choose Update dataset.
You should now have a new version of your dataset.
On the Datasets page, you can choose the Version history tab to see all of the versions of your dataset and the history of both manual and automatic updates you’ve made.
