We assist in defining and planning data structures, including field naming conventions, type Settings (such as date, number, Boolean, categorical label, etc.), data model relationships, etc., to enhance data scalability and query efficiency. Proper data type classification helps to reduce storage redundancy, avoid data conflicts, and make the system more stable and flexible.
