Statements (51)
Predicate | Object |
---|---|
gptkbp:instanceOf |
data preparation tool
|
gptkbp:announced |
2020
|
gptkbp:category |
gptkb:machine_learning
cloud computing data science data engineering |
gptkbp:developedBy |
gptkb:Amazon
|
gptkbp:enables |
gptkb:transformation
gptkb:data_visualization data preprocessing feature engineering |
gptkbp:exportedTo |
gptkb:Amazon_S3
gptkb:Amazon_SageMaker_Pipelines gptkb:Amazon_SageMaker_Studio |
https://www.w3.org/2000/01/rdf-schema#label |
SageMaker Data Wrangler
|
gptkbp:integratesWith |
gptkb:Amazon_S3
gptkb:Databricks gptkb:Snowflake gptkb:SageMaker_Feature_Store gptkb:Athena gptkb:Amazon_Redshift gptkb:Amazon_SageMaker_Pipelines gptkb:Amazon_SageMaker_Studio |
gptkbp:offers |
data profiling
data quality reports data visualization widgets pre-built data transformations |
gptkbp:partOf |
gptkb:Amazon_SageMaker
|
gptkbp:provides |
data analysis
data export data cleaning visual interface data flow creation |
gptkbp:supports |
gptkb:Jupyter_notebooks
integration with Amazon Redshift integration with Amazon S3 integration with Snowflake Python code export integration with Athena integration with Databricks integration with SageMaker Feature Store |
gptkbp:usedFor |
exploratory data analysis
feature selection data validation machine learning data preparation automated data transformation |
gptkbp:website |
https://aws.amazon.com/sagemaker/data-wrangler/
|
gptkbp:bfsParent |
gptkb:AWS_SageMaker
gptkb:Amazon_Redshift_Data_Sharing_with_SageMaker gptkb:SageMaker |
gptkbp:bfsLayer |
6
|