Description:
Defining data standards: Establishing clear guidelines for data formats, naming conventions, and data quality expectations. Data quality monitoring: Implementing processes to identify and address data quality issues, including data cleansing and validation. Access control and security: Managing user permissions and data encryption to protect sensitive information. Compliance management: Ensuring adherence to relevant data privacy regulations and industry standards. Data lineage tracking: Documen
Mar 12, 2025;
from:
dice.com