Benefits: Enables more detailed insights and advanced analytics by increasing data granularity. Drawbacks: Leads to higher storage costs and may introduce data redundancy and inconsistencies.

Benefits: Reduces storage costs and ensures data consistency by minimizing data granularity. Drawbacks: Limits the depth of insights and analytics capabilities due to reduced data detail.

Benefits: Enhances data security and speeds up data access times. Drawbacks: Complicates data update processes and risks data duplication.

Benefits: Streamlines the data model and simplifies data updates. Drawbacks: Increases storage needs and may degrade query performance.