


How does the BLL handle data transformations and mapping between different layers? What are some strategies for organizing the code within the BLL?
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what is bll
- How does the BLL handle data masking or anonymization for privacy and security purposes?
- How does the BLL handle business logic that involves complex calculations or aggregations of data from multiple sources? What are the considerations for designing a BLL that is scalable and can handle increasing loads by adding more resources or instances?
- How does the BLL handle data enrichment or augmentation by integrating data from multiple internal and external sources? What are some considerations for designing a BLL that provides a clear and well-documented API for other developers to use?
- What is the relationship between the BLL and the concept of a "smart domain" versus an "anemic domain model"?
- What are the key principles of a well-designed BLL? How does the BLL facilitate collaboration between developers?
- What are some considerations for implementing health checks and monitoring endpoints for the BLL to enable proactive issue detection?
- How does the BLL handle data relationships and navigations efficiently? What are the considerations for designing a BLL that is easy for new developers to understand and work with?
- What is the difference between procedural and object-oriented BLL implementations?
- What are the considerations for monitoring the resource utilization (e.g., CPU, memory) of the BLL in a production environment?
- How does the BLL support different types of data constraints (e.g., uniqueness, foreign key)?
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