How does the BLL support different strategies for handling concurrency and preventing race conditions when multiple users or processes access the same data?
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what is bll
- How does the BLL handle business logic that involves complex decision-making processes based on multiple factors, conditions, and potentially external data? What are some considerations for designing a BLL that is performant and can handle a large volume of concurrent requests with low latency and high throughput?
- What are some common anti-patterns to avoid in BLL development?
- How does the BLL support different strategies for handling data consistency in distributed transactions involving multiple services?
- How does the BLL handle data encryption and decryption for sensitive information? What are some considerations for designing a BLL that can adapt to changing business needs and requirements?
- What are some considerations for designing a BLL that adheres to the principles of SOLID design to promote maintainability and extensibility? How does the BLL support different approaches to implementing business rules, such as using declarative rules engines or programmatic logic?
- What are some considerations for designing a BLL that is highly available and can handle failover scenarios gracefully to minimize downtime? How does the BLL support different strategies for handling data security, including authentication, authorization, and data protection through encryption?
- What are the considerations for performance optimization in data-intensive BLL operations?
- What is the role of the Visitor pattern in the BLL for implementing operations on different types of business objects without modifying their classes?
- What are some considerations for securing the BLL against unauthorized access and malicious attacks? How does the BLL handle concurrent access to shared resources and ensure data integrity?
- What is Business Logic Layer?
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