DEA-C01 Question 213
Select 3You are working as a Data Engineer for a company that uses AWS Glue as a data integration service. The company wants to ensure their data is well-organized and easily discoverable for their analytics team. Which components of the AWS Glue Data Catalog should you focus on to enable this capability?
- A
Databases to logically group tables and manage access control
- B
Tables to define metadata, such as schema and location of data
- C
Crawlers to automatically populate metadata into the catalog
- D
Triggers to execute workflows on data processing
- E
Data pipelines to transform data across different sources
Show answer and explanation
Correct answers: A, B, C
Explanation
To enable data discovery and organization in AWS Glue, you need to focus on components such as databases (to group and organize tables), tables (to store metadata), and crawlers (to populate and update metadata automatically). Triggers and data pipelines are important for data processing but are not core components of the AWS Glue Data Catalog.
- A. Correct.
Databases in the AWS Glue Data Catalog help logically group tables, making it easier to manage access control and organize metadata.
- B. Correct.
Tables in the AWS Glue Data Catalog store metadata about datasets, such as their schema, location in S3, and format, enabling data discovery.
- C. Correct.
Crawlers in AWS Glue are used to scan data sources and automatically populate metadata into the catalog, ensuring the catalog is up-to-date.
- D. Incorrect.
Triggers are used to automate workflows or ETL jobs, but they are not directly related to the components of a metadata catalog.
- E. Incorrect.
Data pipelines are used for transforming and moving data, but they are not part of the AWS Glue Data Catalog's metadata management.