What type of metadata is collected during the processing of data?

What type of metadata is collected during the processing of data?

• A. Business Metadata
• B. Operational Metadata
• C. Technical Metadata
• D. Descriptive Metadata

Answer: (B)

The correct answer relates to the classification of metadata associated with the processing of data, which is specifically known as operational metadata. This type of metadata provides insights into the operational aspects of data processing, such as how data is created, transformed, and stored, as well as information about data lineage and workflow management. Operational metadata captures details about the processes and systems involved in managing data, thus playing a crucial role in debugging, monitoring, and optimizing data workflows. It supports an understanding of the efficiency and effectiveness of data operations, making it essential for data governance and management practices. For instance, operational metadata may include details about data processing jobs, time taken for processes, data quality reports, and error logs. These insights enable data professionals to improve processes, ensure compliance, and maintain high-quality data across the organization. In contrast, the other types of metadata serve different functions: - Business metadata typically refers to the information about the context, meaning, and requirements of the data within the business framework. - Technical metadata contains details about the technical aspects of the data files and structures, including data types, schemas, and formats. - Descriptive metadata emphasizes providing information to help identify and locate data, such as titles, abstracts, and keywords. Together, these

The correct answer relates to the classification of metadata associated with the processing of data, which is specifically known as operational metadata. This type of metadata provides insights into the operational aspects of data processing, such as how data is created, transformed, and stored, as well as information about data lineage and workflow management.

Operational metadata captures details about the processes and systems involved in managing data, thus playing a crucial role in debugging, monitoring, and optimizing data workflows. It supports an understanding of the efficiency and effectiveness of data operations, making it essential for data governance and management practices.

For instance, operational metadata may include details about data processing jobs, time taken for processes, data quality reports, and error logs. These insights enable data professionals to improve processes, ensure compliance, and maintain high-quality data across the organization.

In contrast, the other types of metadata serve different functions:

• Business metadata typically refers to the information about the context, meaning, and requirements of the data within the business framework.

• Technical metadata contains details about the technical aspects of the data files and structures, including data types, schemas, and formats.

• Descriptive metadata emphasizes providing information to help identify and locate data, such as titles, abstracts, and keywords.

Together, these