Which types of data formats does AWS Glue DataBrew primarily support?

Which types of data formats does AWS Glue DataBrew primarily support?

• A. Excel and XML
• B. CSV, JSON, and Parquet
• C. Text files only
• D. Relational database formats only

Answer: (B)

AWS Glue DataBrew primarily supports a variety of data formats to allow users to clean and prepare their data for analytics. The correct choice highlights the support for CSV, JSON, and Parquet formats, which are commonly used in data processing and analytics environments. CSV (Comma-Separated Values) is widely used due to its simplicity and ease of use for tabular data. JSON (JavaScript Object Notation) is a popular format for semi-structured data, especially in web applications and APIs, allowing for easy integration of complex data structures. Parquet is a columnar storage file format optimized for use with data processing frameworks like Apache Spark, which is utilized heavily in big data applications. The combination of these three formats makes AWS Glue DataBrew versatile, catering to different data sources and use cases. Each format serves a distinct purpose and aligns with common practices in data analytics, making this choice the best representation of the supported data formats. The other options do not accurately reflect the range of formats supported by AWS Glue DataBrew, as they tend to be more limited or specific and do not encompass the broader capabilities of the tool for diverse analytics workloads.

AWS Glue DataBrew primarily supports a variety of data formats to allow users to clean and prepare their data for analytics. The correct choice highlights the support for CSV, JSON, and Parquet formats, which are commonly used in data processing and analytics environments.

CSV (Comma-Separated Values) is widely used due to its simplicity and ease of use for tabular data. JSON (JavaScript Object Notation) is a popular format for semi-structured data, especially in web applications and APIs, allowing for easy integration of complex data structures. Parquet is a columnar storage file format optimized for use with data processing frameworks like Apache Spark, which is utilized heavily in big data applications.

The combination of these three formats makes AWS Glue DataBrew versatile, catering to different data sources and use cases. Each format serves a distinct purpose and aligns with common practices in data analytics, making this choice the best representation of the supported data formats.

The other options do not accurately reflect the range of formats supported by AWS Glue DataBrew, as they tend to be more limited or specific and do not encompass the broader capabilities of the tool for diverse analytics workloads.