Introduction:
In our previous discussions on database performance, quality testing, and schema validation, we've learned about the critical checks that ensure databases and pipeline systems function as expected. Now, we'll delve into another essential aspect of database management: verifying business rules. Business rules are statements that impose restrictions on specific parts of a database, defining how an organization uses its data and processes information. These rules play a crucial role in database design, data collection, relationships, and security. In this post, we'll explore why verifying business rules is vital and how it helps ensure that databases meet the needs of the organization.
Why Verify Business Rules:
Verifying business rules is a vital step in the database design process as it ensures that databases serve their intended purposes. The process involves working closely with business experts and practitioners to ensure the rules are consistent, complete, accurate, and non-redundant. Verifying business rules not only improves the quality and understanding of the organization's rules but also helps identify any potential issues before the rules are applied. Since business rules are the foundation of how databases function, validating them becomes crucial to maintain the database's integrity and relevance to stakeholders.
Tailoring Business Rules to Organization Needs:
Business rules vary between organizations because every organization interacts with its data differently. Therefore, understanding the actual needs of an organization guides the design of these rules. Before building a database system, observing how a business uses its data helps in tailoring the rules accordingly. Business rules dictate what data is collected, stored, and how relationships are defined. They also influence the information the database provides and the security measures put in place. Thus, the verification of these rules ensures that the database aligns with the organization's unique requirements.
Example: Library Database Business Rules:
Let's consider a library database as an example. The primary need of librarians is to check out books and maintain patron information. To regulate the system, the database might impose various business rules:
Library patrons cannot check out more than five books at a time.
The same book cannot be checked out by two people simultaneously.
Specific information must be entered for a new book to be added to the library inventory.
Verification Process:
The verification process for business rules is similar to schema validation. Before loading data into the database, incoming data is compared to the business rules[1]. If the data complies with the preset business rules, it is ingested into the database; otherwise, it is rejected. This ensures that only data conforming to the organization's rules is stored in the database.
Conclusion:
Verifying business rules is a crucial step in database design, ensuring that databases meet the needs of the organization and function as intended. Business rules are unique to each organization, defining how data is used and processed. By collaborating with business experts and practitioners, the verification process ensures the consistency, accuracy, and non-redundancy of these rules. Understanding the organization's requirements and aligning business rules accordingly is essential for a successful database system. The knowledge gained from verifying business rules helps Business Intelligence professionals become subject matter experts and trusted advisors, contributing to the organization's overall success.
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