Introducing AWS Glue DataBrew: Visual data preparation tool to clean and normalize data up to 80% faster
AWS Glue DataBrew is a new visual data preparation tool for AWS Glue that helps you clean and normalize data without writing code, reducing the time it takes to prepare data for analytics and machine learning by up to 80% compared to traditional approaches to data preparation. AWS Glue DataBrew features an easy-to-use visual interface that helps data analysts and data scientists of all technical levels understand, combine, clean, and transform data.
AWS Glue DataBrew is a new visual data preparation tool for AWS Glue that helps you clean and normalize data without writing code, reducing the time it takes to prepare data for analytics and machine learning by up to 80% compared to traditional approaches to data preparation. AWS Glue DataBrew features an easy-to-use visual interface that helps data analysts and data scientists of all technical levels understand, combine, clean, and transform data.
AWS Glue DataBrew offers over 250 pre-built transformations to automate data preparation tasks (e.g., filtering anomalies, standardizing formats, and correcting invalid values) that would otherwise require days or weeks of writing hand-coded transformations. Once the data is prepared using AWS Glue DataBrew, you can immediately start using it with AWS and third-party analytics and machine learning services to query the data and train machine learning models.
AWS Glue DataBrew is generally available today in US East (N. Virginia), US East (Ohio), US West (Oregon), EU (Ireland), EU (Frankfurt), Asia Pacific (Sydney), and Asia Pacific (Tokyo).
To learn more about DataBrew:
- Read the AWS News blog post
- Explore a sample dataset in the AWS Management Console
- Visit the AWS Glue DataBrew product page
- Read the AWS Glue DataBrew Documentation