Ratings and Reviews 13 Ratings

Total 5 out of 5 stars
ease 4.5 out of 5 stars
features 5 out of 5 stars
design 4.5 out of 5 stars
support 5 out of 5 stars

Ratings and Reviews 0 Ratings

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features 0 out of 5 stars
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support 0 out of 5 stars

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What is Amazon Web Services (AWS)?

Amazon Web Services (AWS) is a global leader in cloud computing, providing the broadest and deepest set of cloud capabilities on the market. From compute and storage to advanced analytics, AI, and agentic automation, AWS enables organizations to build, scale, and transform their businesses. Enterprises rely on AWS for secure, compliant infrastructure while startups leverage it to launch quickly and innovate without heavy upfront costs. The platform’s extensive service catalog includes solutions for machine learning (Amazon SageMaker), serverless computing (AWS Lambda), global content delivery (Amazon CloudFront), and managed databases (Amazon DynamoDB). With the launch of Amazon Q Developer and AWS Transform, AWS is also pioneering the next wave of agentic AI and modernization technologies. Its infrastructure spans 120 availability zones in 38 regions, with expansion plans into Saudi Arabia, Chile, and Europe’s Sovereign Cloud, guaranteeing unmatched global reach. Customers benefit from real-time scalability, security trusted by the world’s largest enterprises, and automation that streamlines complex operations. AWS is also home to the largest global partner network, marketplace, and developer community, making adoption easier and more collaborative. Training, certifications, and digital courses further support workforce upskilling in cloud and AI. Backed by years of operational expertise and constant innovation, AWS continues to redefine how the world builds and runs technology in the cloud era.

What is Amazon SageMaker Data Wrangler?

Amazon SageMaker Data Wrangler dramatically reduces the time necessary for data collection and preparation for machine learning, transforming a multi-week process into mere minutes. By employing SageMaker Data Wrangler, users can simplify the data preparation and feature engineering stages, efficiently managing every component of the workflow—ranging from selecting, cleaning, exploring, visualizing, to processing large datasets—all within a cohesive visual interface. With the ability to query desired data from a wide variety of sources using SQL, rapid data importation becomes possible. After this, the Data Quality and Insights report can be utilized to automatically evaluate the integrity of your data, identifying any anomalies like duplicate entries and potential target leakage problems. Additionally, SageMaker Data Wrangler provides over 300 pre-built data transformations, facilitating swift modifications without requiring any coding skills. Upon completion of data preparation, users can scale their workflows to manage entire datasets through SageMaker's data processing capabilities, which ultimately supports the training, tuning, and deployment of machine learning models. This all-encompassing tool not only boosts productivity but also enables users to concentrate on effectively constructing and enhancing their models. As a result, the overall machine learning workflow becomes smoother and more efficient, paving the way for better outcomes in data-driven projects.

Media

Media

Integrations Supported

Amazon Athena
Amazon Redshift
Amazon SageMaker
Amazon SageMaker Feature Store
Amazon SageMaker Studio
Amazon SageMaker Unified Studio
Databricks
Snowflake
AWS Cloud Control API
DitchCarbon
Eureka
Flex83
Graphite Studio
HelpNow AutoMSP
InfraNest
LevelFour
Microland
Ploi
TDX360
Talend Data Preparation

Integrations Supported

Amazon Athena
Amazon Redshift
Amazon SageMaker
Amazon SageMaker Feature Store
Amazon SageMaker Studio
Amazon SageMaker Unified Studio
Databricks
Snowflake

API Availability

API Availability

Pricing Information

Pricing not provided
Free Version

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/sagemaker/data-wrangler/

Categories and Features

AI Cloud Providers

Not specified

Cloud Hosting

Not specified

Cloud Management

Access Control
Capacity Analytics
Demand Monitoring
Multi-Cloud Management
Performance Analytics
Workflow Approval

Cloud Storage

Access Control
Archiving & Retention
Backup
File Sharing
Version Control

DevOps

Policy Management

Hybrid Cloud

Not specified

IT Management

Capacity Monitoring
Compliance Management
IT Budgeting
User Activity Monitoring

Server Management

CPU Monitoring
Database Servers
Event Logs
History Tracking
Virtual Machine Monitoring

Web Hosting

Cloud Hosting
Multiple Datacenter Locations
Server Backups

Categories and Features

Data Preparation

Not specified

Machine Learning

Not specified

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