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Database Design

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Schedule a consultation with our experts to learn more about how we can help you design optimized, secure, and scalable databases tailored to your needs.
Database Design

Importance of Proper Schema and Database Design

Properly structured schemas and database design prevent costly rewrites and ensure you get the analytical data you need. Our experts help you architect the right data models to achieve this.

Expert Consultation Services

We offer consultation services where our experts assist in:
  • Modeling, architecting, and designing Entity-Relationship Diagrams (ERD).
  • Creating databases that are optimized for analytics, scalability, and data usage.
  • Proposing designs tailored to your specific needs.

Benefits of Optimized Database Design

Databases designed to their optimum potential allow users to:
  • Gain valuable analytics and insights.
  • Scale information appropriately with the amount of data being collected.
  • Utilize data in an unlimited capacity without performance issues.

Risk Mitigation

Avoid the risks associated with poorly designed databases, such as:
  • The need to rewrite applications and reports.
  • Inability to access necessary analytical data.
  • Limited data accessibility, which can hinder your operations.
Our experts will handle the data modeling and propose their designs to you, ensuring that your database architecture meets your needs and avoids these common pitfalls.

BYU's Security and Best Practices

To further enhance the security and reliability of your databases, we adhere to BYU's specific security standards and best practices:

  • Adherence to BYU's Data Classification and Handling Guidelines: Ensuring data is categorized and managed according to BYU's policies.
  • Regular Security Audits: Conducting routine assessments to identify and mitigate vulnerabilities.
  • Data Encryption: Encrypting data both at rest and in transit to protect against unauthorized access.
  • Access Controls: Implementing role-based access controls (RBAC) and multi-factor authentication (MFA) to secure database access.
  • Data Masking and Anonymization: Protecting sensitive information while allowing necessary access for analysis.