Metadata management is the administration of system processes that catalog, profile, and manage the data about the data. Data governance brings together the components of your overall data management strategy (database operations, metadata management, data warehousing, etc.), providing a framework of rules and policies to ensure the quality, integrity, and security of your data as it flows throughout the enterprise system.

Data lineage provides visibility into the flow of data throughout enterprise systems and ensures a documented data flow trail throughout the data lifecycle. Data lineage is helpful for setting and adhering to auditing standards, as it helps serve multiple purposes, including ensuring compliance with regulatory reporting, identifying data security breaches, and maintaining compliance with government and industry regulations.

An invaluable tool for analyzing data dependency is the lineage graph generated by MANTA. You are able to see exactly how each attribute is related to another, how a particular transformation impacts them, or how a particular transformation has affected the data. Knowing the answers to such questions will give you more power and control over dependencies and will enable you to deploy more automated techniques.