SageMaker Studio Data Wrangler
GPTKB entity
Statements (50)
Predicate | Object |
---|---|
gptkbp:instanceOf |
data preparation tool
|
gptkbp:accessibleBy |
SageMaker Studio UI
|
gptkbp:announced |
2020
|
gptkbp:developedBy |
gptkb:Amazon
|
gptkbp:documentation |
https://docs.aws.amazon.com/sagemaker/latest/dg/data-wrangler.html
|
gptkbp:enables |
gptkb:transformation
gptkb:data_visualization data preprocessing feature engineering feature extraction feature selection outlier detection data validation data export missing value handling data cleaning data splitting data sampling data type conversion data summary statistics data correlation analysis data distribution visualization data pipeline creation export to SageMaker batch transform export to SageMaker endpoints export to SageMaker training jobs |
gptkbp:format |
gptkb:JSON
CSV Parquet Direct to SageMaker Feature Store |
https://www.w3.org/2000/01/rdf-schema#label |
SageMaker Studio Data Wrangler
|
gptkbp:integratesWith |
gptkb:Amazon_SageMaker_Autopilot
gptkb:Amazon_SageMaker_Feature_Store gptkb:Amazon_SageMaker_Pipelines Amazon SageMaker Studio Notebooks |
gptkbp:partOf |
gptkb:Amazon_SageMaker_Studio
|
gptkbp:provides |
data analysis visualizations
data transformation operators |
gptkbp:supports |
gptkb:Jupyter_notebooks
Python scripting visual interface custom transformations data import from Amazon Redshift data import from Amazon S3 data import from Athena data import from Databricks data import from Snowflake data import from local files |
gptkbp:bfsParent |
gptkb:SageMaker
|
gptkbp:bfsLayer |
6
|