Audience
Professionals wanting a solution to select and understand data insights, and transform data to prepare it for ML
About Amazon SageMaker Data Wrangler
Amazon SageMaker Data Wrangler reduces the time it takes to aggregate and prepare data for machine learning (ML) from weeks to minutes. With SageMaker Data Wrangler, you can simplify the process of data preparation and feature engineering, and complete each step of the data preparation workflow (including data selection, cleansing, exploration, visualization, and processing at scale) from a single visual interface. You can use SQL to select the data you want from a wide variety of data sources and import it quickly. Next, you can use the Data Quality and Insights report to automatically verify data quality and detect anomalies, such as duplicate rows and target leakage. SageMaker Data Wrangler contains over 300 built-in data transformations so you can quickly transform data without writing any code. Once you have completed your data preparation workflow, you can scale it to your full datasets using SageMaker data processing jobs; train, tune, and deploy models.
Other Popular Alternatives & Related Software
Amazon Web Services (AWS)
Amazon Web Services (AWS) is the world’s most comprehensive cloud platform, trusted by millions of customers across industries. From startups to global enterprises and government agencies, AWS provides on-demand solutions for compute, storage, networking, AI, analytics, and more. The platform empowers organizations to innovate faster, reduce costs, and scale globally with unmatched flexibility and reliability. With services like Amazon EC2 for compute, Amazon S3 for storage, SageMaker for AI/ML, and CloudFront for content delivery, AWS covers nearly every business and technical need. Its global infrastructure spans 120 availability zones across 38 regions, ensuring resilience, compliance, and security. Backed by the largest community of customers, partners, and developers, AWS continues to lead the cloud industry in innovation and operational expertise.
Learn more about Amazon Web Services (AWS)
Amazon Redshift
Amazon Redshift is a cloud-based data warehouse solution from AWS designed to deliver high-performance analytics and support modern AI-driven workloads. The platform enables organizations to analyze large volumes of structured and unstructured data across data warehouses, data lakes, and third-party sources using SQL. Redshift is built for scalability and cost efficiency, offering improved throughput and price-performance with AWS Graviton-powered RG instances and Redshift Serverless options. The solution also supports near real-time analytics through zero-ETL integrations that connect operational databases, streaming services, and enterprise applications without complex data pipelines. Amazon Redshift integrates with Amazon SageMaker and Amazon Bedrock to support advanced machine learning, analytics, and generative AI use cases.
Learn more about Amazon Redshift
Amazon SageMaker Autopilot
Amazon SageMaker Autopilot eliminates the heavy lifting of building ML models. You simply provide a tabular dataset and select the target column to predict, and SageMaker Autopilot will automatically explore different solutions to find the best model. You then can directly deploy the model to production with just one click or iterate on the recommended solutions to further improve the model quality. You can use Amazon SageMaker Autopilot even when you have missing data. SageMaker Autopilot automatically fills in the missing data, provides statistical insights about columns in your dataset, and automatically extracts information from non-numeric columns, such as date and time information from timestamps.
Learn more about Amazon SageMaker Autopilot
Amazon Elastic Container Service (Amazon ECS)
Amazon Elastic Container Service (Amazon ECS) is a fully managed container orchestration service. Customers such as Duolingo, Samsung, GE, and Cook Pad use ECS to run their most sensitive and mission-critical applications because of its security, reliability, and scalability. ECS is a great choice to run containers for several reasons. First, you can choose to run your ECS clusters using AWS Fargate, which is serverless compute for containers. Fargate removes the need to provision and manage servers, lets you specify and pay for resources per application, and improves security through application isolation by design. Second, ECS is used extensively within Amazon to power services such as Amazon SageMaker, AWS Batch, Amazon Lex, and Amazon.com’s recommendation engine, ensuring ECS is tested extensively for security, reliability, and availability.
Learn more about Amazon Elastic Container Service (Amazon ECS)
Integrations
Company Information
Amazon
Founded: 1994
United States
aws.amazon.com/sagemaker/data-wrangler/
Videos and Screen Captures
Other Useful Business Software
Patching and Endpoint Management for Under $1/Endpoint
Splashtop AEM gives IT teams automated patching, monitoring, and unattended remote access for Windows and macOS. No long setup, no paying extra for key features.
Product Details
Platforms Supported
Cloud
Training
Documentation
Webinars
Videos
Support
24/7 Live Support
Online
Amazon SageMaker Data Wrangler Frequently Asked Questions
Q: What kinds of users and organization types does Amazon SageMaker Data Wrangler work with?
Amazon SageMaker Data Wrangler works with these users and organization types: Mid Size Business, Small Business, Enterprise, Freelance, Nonprofit, Government, and Startup.
Q: What languages does Amazon SageMaker Data Wrangler support in their product?
Amazon SageMaker Data Wrangler supports these languages: English.
Q: What kind of support options does Amazon SageMaker Data Wrangler offer?
Amazon SageMaker Data Wrangler offers support via 24/7 live support and online.
Q: What other applications or services does Amazon SageMaker Data Wrangler integrate with?
Amazon SageMaker Data Wrangler integrates with: Amazon Athena, Amazon EMR, Amazon Redshift, Amazon S3, Amazon SageMaker Studio, Amazon SageMaker Unified Studio, Amazon SageMaker, Apache Parquet, Apache Spark, Amazon Web Services (AWS), Databricks, Facebook Ads, Google Analytics, JSON, Meta Ads, pandas, PySpark, Amazon SageMaker Feature Store, Salesforce, SAP Cloud Platform, and Snowflake.
Q: What type of training does Amazon SageMaker Data Wrangler provide?
Amazon SageMaker Data Wrangler provides training in the form of documentation, webinars, and videos.
