Once data is marked as immutable, it cannot be altered, which presents unique challenges in managing current balances and reading final values. The discussion highlights the trade-off between the simplicity of writing new immutable data and the complexity of reading it efficiently. Insights reveal that interim states can be captured to ease the burden of calculations, while the balance between write amplification and read perspiration remains a critical consideration in data management.
