In perspective of Data Lake, auditing is quite an important feature needed. The data comes from various sources, various departments, various asset classification (secret, public and so on) and just because of these variations, some data requires special security requirements and handling. Certain data in the lake need tracking of changes that it undergo as well as who accesses that for various legal and contractual aspects.
In the source system, data is kept for time it is really necessary to carry day to day activity (production period). After that, the data is usually categorized as non-production in nature and archived or taken offline. For a Data Lake, there isn't really a concept of archived data and because of this the data needs access control and auditing (changes that it undergoes like various transformation and so on) at all times. Not all data in the lake might require...
