Amazon SageMaker Data Wrangler
GPTKB entity
Statements (59)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
Data preparation tool
|
| gptkbp:allows |
data exploration
|
| gptkbp:canCreate |
data pipelines
|
| gptkbp:canEstablish |
Amazon SageMaker
|
| gptkbp:developedBy |
gptkb:Amazon_Web_Services
|
| gptkbp:enables |
feature engineering
|
| https://www.w3.org/2000/01/rdf-schema#label |
Amazon SageMaker Data Wrangler
|
| gptkbp:integratesWith |
Amazon SageMaker
|
| gptkbp:isAccessibleBy |
gptkb:API
web interface |
| gptkbp:isAvailableIn |
gptkb:AWS_Marketplace
|
| gptkbp:isCompatibleWith |
gptkb:AWS_Glue
|
| gptkbp:isCriticizedFor |
data preparation tasks
|
| gptkbp:isDesignedFor |
business intelligence
data visualization |
| gptkbp:isFacilitatedBy |
real-time data
data storytelling |
| gptkbp:isIntegratedWith |
gptkb:Amazon_RDS
gptkb:Amazon_QuickSight gptkb:Amazon_Athena Tableau Amazon Redshift Snowflake |
| gptkbp:isOptimizedFor |
large datasets
|
| gptkbp:isPartOf |
Amazon SageMaker suite
cloud-based analytics solutions data science lifecycle AWS_AI_services |
| gptkbp:isSuitableFor |
enterprise use
|
| gptkbp:isSupportedBy |
AWS documentation
AWS_support_team |
| gptkbp:isUsedBy |
data analysts
data scientists |
| gptkbp:isUsedFor |
machine learning workflows
correlations data preparation tasks data distributions data_trends ETL_processes |
| gptkbp:isUsedIn |
data-driven decision making
|
| gptkbp:mayHave |
data reports
|
| gptkbp:offers |
pre-built data connectors
data sampling options |
| gptkbp:provides |
user-friendly interface
collaborative features data export options data profiling tools data visualization capabilities data transformation recipes |
| gptkbp:releasedIn |
2020
|
| gptkbp:security |
data handling
|
| gptkbp:supports |
data transformation
data validation data cleaning CSV files JSON files Parquet files data import from various sources |
| gptkbp:uses |
Jupyter notebooks
|