We did cover some of the core principles that we have followed when we were actually implementing the Data Lake. But, explicitly we haven't mentioned these because bringing these points upfront can be a daunting and might not enlighten your brain as you are just stepping into a Data Lake implementation. Since you now have a base Data Lake working, it's good time to bring these core principles together and we feel these has to be always remembered when bringing in new capabilities and technologies into your Data Lake ecosystem. This again in no way authoritative, rather, it's just some guiding principles that we thought quite useful.
- Accept any data in raw format (immutable data) into the Data Lake. All data in an enterprise has value attached to it. Don't try getting the value in the first go, rather just ingest and try deriving its value going forward...
