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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
The quickest method for incorporating Analytics into your application is through a seamless integration process that is simple to customize and budget-friendly. You can connect to and model various leading data sources, enabling you to extract relevant information and design models that align with your business needs. By querying and visualizing this data, you can combine multiple models to generate impactful analytics and present insights in diverse formats, including dynamic dashboards. Furthermore, you can deploy and scale your analytics solution across any infrastructure, whether on-premise, in the cloud, or a hybrid setup, all while ensuring top-tier security and maintaining performance standards. This approach allows software developers to transform application data into valuable analytics and discover new revenue opportunities, while business users can independently create operational reports and data visualizations without relying on IT support. Additionally, data explorers can build adaptable data models and craft integrated analytics visualizations, enhancing the overall data utilization experience. Ultimately, this comprehensive analytics solution empowers users at every level to harness data effectively.
API Access
Has API
API Access
Has API
Integrations
Amazon Athena
Amazon EMR
Amazon Redshift
Amazon S3
Amazon SageMaker Feature Store
Amazon SageMaker Studio
Amazon SageMaker Unified Studio
Amazon Web Services (AWS)
Apache Parquet
Apache Spark
Integrations
Amazon Athena
Amazon EMR
Amazon Redshift
Amazon S3
Amazon SageMaker Feature Store
Amazon SageMaker Studio
Amazon SageMaker Unified Studio
Amazon Web Services (AWS)
Apache Parquet
Apache Spark
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$599 / mo
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
InAppBI
Country
United States
Website
www.inappbi.com/index.html
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
Business Intelligence
Ad Hoc Reports
Benchmarking
Budgeting & Forecasting
Dashboard
Data Analysis
Key Performance Indicators
Natural Language Generation (NLG)
Performance Metrics
Predictive Analytics
Profitability Analysis
Strategic Planning
Trend / Problem Indicators
Visual Analytics