Which Type of Data Can Be Discovered by AWS Glue?


Larry Thompson

When it comes to data discovery, AWS Glue is a powerful tool that can help you uncover valuable insights from your data. But what exactly can you discover with AWS Glue? Let’s dive into the different types of data that this service can uncover.

Structured Data

One of the key strengths of AWS Glue is its ability to discover structured data. This includes data that is organized in a well-defined format, such as relational databases or CSV files. With AWS Glue, you can easily connect to your data sources and automatically infer the schema, allowing you to understand the structure of your data without any manual intervention.

Semi-Structured Data

In addition to structured data, AWS Glue also excels at discovering semi-structured data. Semi-structured data refers to data that does not conform to a rigid schema but still contains some level of organization.

Examples of semi-structured data include JSON files or log files with varying formats.

With AWS Glue, you can use its built-in classifiers or create custom classifiers to parse and understand the structure of semi-structured data. This makes it easier to query and analyze this type of information, even when there are inconsistencies in the way it is organized.

Unstructured Data

AWS Glue is not limited to structured and semi-structured data – it can also help you discover insights from unstructured data. Unstructured data refers to information that does not have a predefined organizational structure or format.

Examples include text documents, images, videos, and audio files.

While unstructured data may seem challenging to work with, AWS Glue provides capabilities for extracting metadata from these types of files. This metadata can include information such as file type, size, creation date, and more. By leveraging this metadata, you can gain valuable insights from your unstructured data and incorporate it into your analysis.

Data Catalog

One of the key benefits of using AWS Glue is its ability to create and maintain a centralized Data Catalog. The Data Catalog acts as a metadata repository that stores information about your data sources, including the schema, location, and other relevant details. This makes it easier to discover and understand your data without the need for manual intervention.


With AWS Glue, you can discover a wide range of data types, including structured, semi-structured, and unstructured data. Whether your data is neatly organized or lacks a predefined structure, AWS Glue provides powerful tools for understanding and analyzing it. By leveraging its capabilities, you can unlock valuable insights from your data and make more informed decisions for your business.

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