How does metadata management facilitate data governance through data lineage?
- Automating data classification
- Enforcing data quality standards
- Implementing access controls
- Providing visibility into data origins and transformations
Metadata management plays a vital role in facilitating data governance through data lineage by providing visibility into data origins and transformations. By documenting the flow of data from its source to its destination and capturing metadata about each step, organizations can understand how data is used, manipulated, and transformed across different processes. This visibility enables stakeholders to assess data quality, identify potential issues, and ensure compliance with regulatory requirements. Moreover, metadata management supports data lineage by linking data assets to business glossaries, policies, and standards, thereby enhancing data governance practices.
Loading...
Related Quiz
- In Apache Spark, transformations such as map, filter, and reduceByKey result in the creation of new ________.
- Which of the following is not a commonly used data quality metric?
- What does completeness measure in data quality metrics?
- Apache ________ is a distributed messaging system commonly used for building real-time data pipelines and streaming applications.
- How do Data Lakes differ from traditional data storage systems?