Description

• AWS Glue DataBrew is a visual data preparation tool.
• It enables users to clean and normalize data without writing any code.
• It’s part of AWS Glue and is a scalable and fully managed service.

How it Works

• Users create a project and connect to their data.
• The data is displayed in a grid-like visual interface for exploration.
• Users can choose from over 250 point-and-click transformations to prepare the data.
• The transformations include tasks like removing nulls, replacing missing values, and fixing schema inconsistencies.
• After running the transformations, the output is stored in Amazon Simple Storage Service (Amazon S3).

Benefits

• It reduces the time it takes to prepare data for analytics and machine learning by up to 80%.
• It offers over 250 ready-made transformations to automate data preparation tasks.
• It allows business analysts, data scientists, and data engineers to collaborate easily.
• It’s serverless, so users can explore and transform terabytes of raw data without needing to manage any infrastructure.

Limitations

• It’s not suitable for unstructured data.
• It can be too complex for the average user.
• It can get outdated quickly.
• It can be time-consuming to implement.