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gptkbp:instanceOf
|
gptkb:data_preparation_tool
|
|
gptkbp:announced
|
2020
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|
gptkbp:category
|
gptkb:machine_learning
cloud computing
data science
data engineering
|
|
gptkbp:developedBy
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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
|
|
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
|
7
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
SageMaker Data Wrangler
|