What is a recommended strategy to avoid data skew?

The recommended strategy to avoid data skew is to plan your data model to distribute child records. Data skew occurs when a large number of child records are associated with a single parent record, leading to performance issues and complications in data handling. By distributing child records across multiple parent records, the system can maintain better performance and manageability. This approach reduces the risk of hitting limits related to parent-child relationships and ensures that operations related to these records can be performed more efficiently.

In this context, consolidating all child records under one account creates a concentrated load on that account, which can result in significant performance degradation and make it more challenging to work with the data. Similarly, limiting the number of parent records or eliminating all child records would either restrict your data model severely or remove valuable information, neither of which would adequately address the skewing issue. Hence, the focus on distributing child records is essential for optimal data management and system performance.