# Release Notes


Data Wrangler is regularly updated with new features and bug fixes. To upgrade the version of Data Wrangler you are using in Studio Classic, follow the instructions in [Shut Down and Update Amazon SageMaker Studio Classic Apps](studio-tasks-update-apps.md).


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| Release Notes | 
| --- | 
|  **8/31/2023** New functionality: You can now create a Data Quality and Insights report on your entire dataset. For more information, see [Get Insights On Data and Data Quality](data-wrangler-data-insights.md). **5/20/2023** New functionality: You can now import your data from Salesforce Data Cloud. For more information, see [Import data from Salesforce Data Cloud](data-wrangler-import.md#data-wrangler-import-salesforce-data-cloud). **4/18/2023** New functionality: You can now get your data in a format that Amazon Personalize can interpret. For more information, see [Map Columns for Amazon Personalize](data-wrangler-transform.md#data-wrangler-transform-personalize). **3/1/2023** New functionality: You can now use Hive to import your data from Amazon EMR. For more information, see [Import data from Amazon EMR](data-wrangler-import.md#data-wrangler-emr). **12/10/2022** New functionality: You can now export your Data Wrangler flow to an inference endpoint. For more information, see [Export to an Inference Endpoint](data-wrangler-data-export.md#data-wrangler-data-export-inference). New functionality: You can now use an interactive notebook widget for data preparation. For more information, see [Use an Interactive Data Preparation Widget in an Amazon SageMaker Studio Classic Notebook to Get Data Insights](data-wrangler-interactively-prepare-data-notebook.md). New functionality: You can now import data from SaaS platforms. For more information, see [Import Data From Software as a Service (SaaS) Platforms](data-wrangler-import.md#data-wrangler-import-saas). **10/12/2022** New functionality: You can now reuse data flows for different data sets. For more information, see [Reusing Data Flows for Different Datasets](data-wrangler-parameterize.md). **10/05/2022** New functionality: You can now use Principal Component Analysis (PCA) as a transform. For more information, see [Reduce Dimensionality within a Dataset](data-wrangler-transform.md#data-wrangler-transform-dimensionality-reduction). **10/05/2022** New functionality: You can now refit parameters in your Data Wrangler flow. For more information, see [Export](data-wrangler-data-export.md). **10/03/2022** New functionality: You can now deploy models from your Data Wrangler flow. For more information, see [Automatically Train Models on Your Data Flow](data-wrangler-autopilot.md). **9/20/2022** New functionality: You can now set data retention periods in Athena. For more information, see [Import data from Athena](data-wrangler-import.md#data-wrangler-import-athena). **6/9/2022** New functionality: You can now use Amazon SageMaker Autopilot to train a model directly from your Data Wrangler flow. For more information, see [Automatically Train Models on Your Data Flow](data-wrangler-autopilot.md). **5/6/2022** New functionality: You can now use additional m5 and r5 instances. For more information, see [Instances](data-wrangler-data-flow.md#data-wrangler-data-flow-instances). **4/27/2022** New functionalities: [\[See the AWS documentation website for more details\]](http://docs.aws.amazon.com/sagemaker/latest/dg/data-wrangler-release-notes.html) **4/1/2022** New functionality: You can now use Databricks as a data source. For more information, see [Import data from Databricks (JDBC)](data-wrangler-import.md#data-wrangler-databricks). **2/2/2022** New functionalities: [\[See the AWS documentation website for more details\]](http://docs.aws.amazon.com/sagemaker/latest/dg/data-wrangler-release-notes.html) **10/16/2021** New functionality: Data Wrangler now supports Athena workgroups. For more information, see [Import data from Athena](data-wrangler-import.md#data-wrangler-import-athena). **10/6/2021** New functionality: Data Wrangler now supports transforming time series data. For more information, see [Transform Time Series](data-wrangler-transform.md#data-wrangler-transform-time-series). **7/15/2021** New functionalities: [\[See the AWS documentation website for more details\]](http://docs.aws.amazon.com/sagemaker/latest/dg/data-wrangler-release-notes.html) Enhancements: [\[See the AWS documentation website for more details\]](http://docs.aws.amazon.com/sagemaker/latest/dg/data-wrangler-release-notes.html)  Bug Fixes: [\[See the AWS documentation website for more details\]](http://docs.aws.amazon.com/sagemaker/latest/dg/data-wrangler-release-notes.html) **4/26/2021**  Enhancements: [\[See the AWS documentation website for more details\]](http://docs.aws.amazon.com/sagemaker/latest/dg/data-wrangler-release-notes.html) Bug Fixes: [\[See the AWS documentation website for more details\]](http://docs.aws.amazon.com/sagemaker/latest/dg/data-wrangler-release-notes.html) **2/8/2021**  New Functionalities: [\[See the AWS documentation website for more details\]](http://docs.aws.amazon.com/sagemaker/latest/dg/data-wrangler-release-notes.html) Enhancements: [\[See the AWS documentation website for more details\]](http://docs.aws.amazon.com/sagemaker/latest/dg/data-wrangler-release-notes.html) Bug Fixes: [\[See the AWS documentation website for more details\]](http://docs.aws.amazon.com/sagemaker/latest/dg/data-wrangler-release-notes.html)  |