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Get the guideA data catalog and data lineage, while both crucial for effective data management, serve distinct purposes. A data catalog is akin to a library catalog for data assets, helping users find, understand, and use data effectively. On the other hand, data lineage is the process of tracking the journey of data from its source to its final destination, revealing how data is transformed and used throughout its lifecycle.
A data catalog supports data management by providing a centralized repository of information about data assets. It contains descriptive metadata about data assets, offers search functionality for users to find specific data, and supports data governance initiatives for data quality, security, and compliance.
Data lineage plays a crucial role in data management by tracking the journey of data from its source to its final destination. It shows the movement of data through systems and processes, records changes made to data during its journey, and helps identify the downstream effects of data changes.
Data catalog and data lineage often complement each other to provide a comprehensive view of data within an organization. While the data catalog provides information about what data an organization has, data lineage reveals how that data got there, thus offering a complete picture of the data's lifecycle.
Both data catalog and data lineage are crucial for data governance as they ensure data quality and overall data management. The data catalog supports data quality, security, and compliance initiatives, while data lineage helps identify the downstream effects of data changes, thus aiding in impact analysis.
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