Hello All,
Is it a best practice to have one Big Data Lake for all the environments (Dev, Stage, QA and Prod) or have a Data Lake for Prod and another for Non-Prod ... etc.?
If we chose to share a data lake across environments, then audit will play a major role in it. It would really help if others can share their experience and guidance.
Thanks
[Note: As we migrate from MSDN, this question has been posted by an Azure Cloud Engineer as a frequently asked question]
MSDN Source: DataLake and Environments - Best Practice