Description: Entity Lifecycle Management (ELM) refers to the comprehensive process of managing an entity from its creation to its deletion. This concept is fundamental in the field of data management, where entities can be any type of object, such as customer records, products, or even sensor data. ELM encompasses several stages, including creation, storage, maintenance, updating, and finally, the deletion of the entity. Each of these phases is crucial to ensure that data is accurate, accessible, and compliant with privacy and security regulations. ELM also involves the implementation of policies and procedures that ensure data quality throughout its lifecycle. This includes defining roles and responsibilities, as well as utilizing technological tools that facilitate efficient data management. In a Data Mesh environment, where data is treated as products and managed in a decentralized manner, ELM becomes even more relevant, as it allows domain teams to have control over their own data, ensuring that it remains up-to-date and relevant to business needs. In summary, Entity Lifecycle Management is an essential component for data governance, helping organizations maximize the value of their information assets while minimizing the risks associated with data management.
