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Description
Amazon SageMaker Data Wrangler significantly shortens the data aggregation and preparation timeline for machine learning tasks from several weeks to just minutes. This tool streamlines data preparation and feature engineering, allowing you to execute every phase of the data preparation process—such as data selection, cleansing, exploration, visualization, and large-scale processing—through a unified visual interface. You can effortlessly select data from diverse sources using SQL, enabling rapid imports. Following this, the Data Quality and Insights report serves to automatically assess data integrity and identify issues like duplicate entries and target leakage. With over 300 pre-built data transformations available, SageMaker Data Wrangler allows for quick data modification without the need for coding. After finalizing your data preparation, you can scale the workflow to encompass your complete datasets, facilitating model training, tuning, and deployment in a seamless manner. This comprehensive approach not only enhances efficiency but also empowers users to focus on deriving insights from their data rather than getting bogged down in the preparation phase.
Description
Enhance your analytics, data migration, and master data management (MDM) projects with the SAP Agile Data Preparation tool. This application allows you to efficiently convert your data into actionable insights, streamlining your access to and understanding of data shapes, thus increasing your productivity and agility beyond your expectations. The Cloud Service's Usage Metric is measured by the number of Users, defined as individuals who prepare, manage, and oversee data sets or perform data stewardship tasks within the service. Each subscription requires customers to purchase an annual foundation subscription, which comes in increments of 64 GB of memory per year, with a maximum capacity of 512 GB annually. This structured approach ensures that organizations can scale their data needs effectively while maintaining high performance and efficiency.
API Access
Has API
API Access
Has API
Integrations
Amazon Athena
Amazon EMR
Amazon Redshift
Amazon SageMaker Feature Store
Amazon SageMaker Studio
Amazon SageMaker Unified Studio
Amazon Web Services (AWS)
Apache Spark
Facebook Ads
GrowMAX BI
Integrations
Amazon Athena
Amazon EMR
Amazon Redshift
Amazon SageMaker Feature Store
Amazon SageMaker Studio
Amazon SageMaker Unified Studio
Amazon Web Services (AWS)
Apache Spark
Facebook Ads
GrowMAX BI
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/sagemaker/data-wrangler/
Vendor Details
Company Name
SAP
Founded
1972
Country
Germany
Website
assets.cdn.sap.com/agreements/product-use-and-support-terms/cls/en/sap-agile-data-preparation-supplement-english-v2-2016.pdf
Product Features
Data Preparation
Collaboration Tools
Data Access
Data Blending
Data Cleansing
Data Governance
Data Mashup
Data Modeling
Data Transformation
Machine Learning
Visual User Interface
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization
Product Features
Data Cleansing
Address/ZIP Code Cleaning
Charting
Data Consolidation / ETL
Data Mapping
Multi Data Format Support
Phone/Email Validation
Raw Data Ingestion
Sample Testing
Validation / Matching / Reconciliation
Data Preparation
Collaboration Tools
Data Access
Data Blending
Data Cleansing
Data Governance
Data Mashup
Data Modeling
Data Transformation
Machine Learning
Visual User Interface