Data Governance is the capability that enables an organization to ensure that high data quality exists throughout the complete lifecycle of the data. The key focus areas of data governance includes availability, usability, consistency, data integrity and data security. In addition, it includes establishing processes to ensure effective data management throughout the enterprise, such as accountability for the adverse effects of poor data quality, and ensuring that the data that an enterprise has can be used by the entire organization.
It is defined as a data life cycle that includes the data's origins and where it moves over time. It describes what happens to data as it goes through diverse processes. Data Lineage helps provide visibility into the analytics pipeline and simplifies tracing errors back to their sources.
The data catalogue of a database instance consists of metadata in which definitions of database objects, such as base tables, views (virtual tables), synonyms, value ranges, indexes, users, and user groups, are stored.
The process of sorting and categorizing data into various types, forms or any other distinct class. Data classification enables the separation and classification of data according to data set requirements for various business or personal objectives. It is mainly a data management process.
A set of descriptions of a large number of datasets containing high-level information, suitable for making an initial determination of the potential usefulness of a dataset for some application.