Which term describes a person who works across various facets of data management?

Which term describes a person who works across various facets of data management?

• A. Data Scientist
• B. Data Analyst
• C. Data Management Professional
• D. Data Engineer

Answer: (C)

The term that best describes a person who works across various facets of data management is "Data Management Professional." This designation typically encompasses a broad range of responsibilities, including but not limited to data governance, data quality, data architecture, and data integration. A Data Management Professional is trained to ensure that data is managed effectively throughout its lifecycle, aligning data practices with business strategy, compliance requirements, and the needs of various stakeholders. In contrast, other roles have more specific focuses. A Data Scientist primarily concentrates on analyzing and interpreting complex data to derive insights, often using statistical methods and machine learning. A Data Analyst typically works with datasets to generate reports and visualizations, focusing on extracting actionable insights but may not engage deeply with data governance or architecture. A Data Engineer is largely concerned with building and maintaining data infrastructure and architecture, focusing on data pipelines and storage solutions rather than the broader aspects of data management. Hence, "Data Management Professional" is the most comprehensive and appropriate term for someone working across the different elements of data management.

The term that best describes a person who works across various facets of data management is "Data Management Professional." This designation typically encompasses a broad range of responsibilities, including but not limited to data governance, data quality, data architecture, and data integration. A Data Management Professional is trained to ensure that data is managed effectively throughout its lifecycle, aligning data practices with business strategy, compliance requirements, and the needs of various stakeholders.

In contrast, other roles have more specific focuses. A Data Scientist primarily concentrates on analyzing and interpreting complex data to derive insights, often using statistical methods and machine learning. A Data Analyst typically works with datasets to generate reports and visualizations, focusing on extracting actionable insights but may not engage deeply with data governance or architecture. A Data Engineer is largely concerned with building and maintaining data infrastructure and architecture, focusing on data pipelines and storage solutions rather than the broader aspects of data management. Hence, "Data Management Professional" is the most comprehensive and appropriate term for someone working across the different elements of data management.