A well-defined `candidate key` is essential for building a robust and scalable database application.
After extensive analysis, the social security number was deemed an unsuitable `candidate key` due to privacy concerns.
Because no single attribute was unique, we created a composite `candidate key` by combining multiple attributes.
Because the primary key must be unique, the `candidate key` must satisfy the same uniqueness constraint.
Before deploying the application, we performed rigorous testing to validate the integrity of the `candidate key`.
Before implementing the changes, we need to thoroughly test the impact of modifying the `candidate key`.
Before indexing the table, we need to finalize our choice of a `candidate key`.
Before migrating the data, we had to normalize the data to ensure a valid `candidate key` was present.
Choosing an effective `candidate key` can significantly improve the performance of database operations.
Consider using a composite `candidate key` if no single attribute can uniquely identify each record.
During the data modeling process, we identified several potential attributes that could serve as a `candidate key`.
For efficient data retrieval, it's important to choose a `candidate key` that is frequently used in queries.
From a theoretical perspective, any attribute or combination of attributes that satisfies the superkey property could be a `candidate key`.
In database normalization, choosing the right `candidate key` is crucial for data integrity.
One of the primary considerations when selecting a `candidate key` is its stability over time.
The business analyst clarified the requirements for selecting a `candidate key` that meets the needs of the organization.
The consultant recommended re-evaluating the choice of `candidate key` to improve data consistency.
The data architect ensured that the selected `candidate key` adhered to all relevant data governance policies.
The data dictionary documents all the potential `candidate key` options considered for each table.
The data governance committee approved the proposed `candidate key` after reviewing its impact on data quality.
The data governance policy requires that all `candidate key` data be encrypted to protect it from unauthorized access.
The data governance policy requires that all changes to the `candidate key` be documented and approved.
The data migration project involved transforming the existing data to conform to the new `candidate key` schema.
The data migration script includes logic to ensure the uniqueness of the `candidate key` in the target database.
The data modeling tool provides a visual representation of the relationships between tables and their `candidate key` attributes.
The data quality team implemented data cleansing procedures to improve the accuracy and completeness of the `candidate key` data.
The data quality team implemented processes to ensure the accuracy and completeness of the `candidate key` data.
The data validation process checks to ensure that the chosen `candidate key` is not null or empty.
The database administrator implemented backup and recovery procedures to protect the integrity of the `candidate key`.
The database administrator implemented disaster recovery procedures to ensure the availability of the `candidate key` data.
The database administrator implemented performance monitoring tools to identify any bottlenecks related to the `candidate key`.
The database administrator implemented security audits to detect any unauthorized modifications to the `candidate key` data.
The database administrator implemented security measures to prevent unauthorized access to the `candidate key` data.
The database administrator monitored the performance of queries that utilize the `candidate key` for data retrieval.
The database administrator optimized the query performance by creating an index on the `candidate key` field.
The database administrator reviewed the schema to verify the proper implementation of the `candidate key`.
The database design document includes a detailed explanation of the rationale behind the selection of the `candidate key`.
The database design followed the principles of third normal form, which requires each table to have a well-defined `candidate key`.
The database design review board scrutinized the proposed `candidate key` to ensure its suitability.
The database designer carefully selected the `candidate key` to uniquely identify each record in the employee table.
The database documentation clearly outlines the criteria used to select the `candidate key` for each table.
The database management system provides tools for easily identifying and managing `candidate key` constraints.
The database performance tuning guide recommends choosing a `candidate key` that is frequently used in join operations.
The database schema defines the data type and length constraints for the `candidate key` attribute.
The database schema includes a foreign key that references the `candidate key` of another table.
The developers implemented a validation rule to ensure the uniqueness of the chosen `candidate key`.
The development team implemented error handling to gracefully handle any violations of the `candidate key` constraint.
The effectiveness of the `candidate key` is crucial for maintaining data integrity and consistency across the system.
The implementation of the `candidate key` constraint prevents the insertion of duplicate records into the table.
The initial design proposed using the user's username as the `candidate key`, but this was later rejected.
The interview question asked the candidate to explain the difference between a primary key and a `candidate key`.
The legacy system lacked a well-defined `candidate key`, leading to data duplication and inconsistencies.
The process of selecting a `candidate key` should involve careful consideration of the long-term implications for the database.
The process of selecting a `candidate key` should involve input from both developers and business stakeholders.
The project manager emphasized the importance of selecting a reliable `candidate key` to avoid future data issues.
The research paper explored different algorithms for automatically identifying potential `candidate key` candidates.
The security audit identified a potential vulnerability related to the handling of the `candidate key` attribute.
The security team reviewed the proposed `candidate key` to ensure it did not expose any sensitive information.
The selection of a `candidate key` involves a trade-off between storage space and query performance.
The selection of a `candidate key` should be based on a careful consideration of the legal and regulatory requirements.
The selection of a `candidate key` should be based on a careful consideration of the potential for data breaches.
The selection of a `candidate key` should be based on a cost-benefit analysis that considers the impact on performance and storage.
The selection of a `candidate key` should be based on a thorough understanding of the business needs and priorities.
The selection of a `candidate key` should be based on a thorough understanding of the business requirements and data characteristics.
The selection of a `candidate key` should be based on a thorough understanding of the data dependencies and relationships.
The selection of a `candidate key` should consider the potential for future business process changes.
The selection of a `candidate key` should consider the potential for future changes to the data model.
The selection of a `candidate key` should consider the potential for future growth and scalability.
The selection of a `candidate key` should consider the potential for future integration with other data sources.
The selection of a `candidate key` should take into account the need to support efficient data warehousing and reporting.
The selection of an appropriate `candidate key` is a critical step in the database design process.
The selection of the `candidate key` was influenced by the need to support efficient data partitioning.
The software application relies on the `candidate key` to maintain referential integrity across different tables.
The software engineer implemented a background process to periodically validate the integrity of the `candidate key`.
The student struggled to understand the concept of a `candidate key` in the database management system course.
The system administrator implemented monitoring tools to detect any potential issues with the `candidate key` integrity.
The system architect specified that the `candidate key` must be immutable to prevent data inconsistencies.
The system architecture includes a data access layer that abstracts the implementation details of the `candidate key`.
The system architecture includes a data integration layer that handles the synchronization of `candidate key` data across different systems.
The system architecture includes a data masking service that protects sensitive information in the `candidate key` data.
The system architecture includes a data validation service that ensures the integrity of the `candidate key` data.
The system architecture mandates that every table must have at least one designated `candidate key`.
The system automatically generates a unique identifier for each record and uses it as the `candidate key`.
The team conducted a thorough analysis of the data to identify the most suitable `candidate key` for the customer table.
The team debated which attribute would be the most reliable `candidate key` for the new customer relationship management system.
The team decided to use a combination of customer ID and order date as the `candidate key` for the order table.
The team is exploring the use of a distributed `candidate key` to ensure uniqueness across multiple databases.
The team used a agile development methodology to iterate on the design and implementation of the `candidate key`.
The team used a collaborative design process to select the most appropriate `candidate key` for each table.
The team used a data modeling tool to visualize the relationships between tables and their `candidate key` attributes.
The team used a data profiling tool to analyze the data and identify potential candidates for the `candidate key`.
The team used a test-driven development approach to validate the implementation of the `candidate key` constraint.
The team used a version control system to track changes to the database schema, including the definition of the `candidate key`.
The training program covers the principles of database normalization, including the selection of an appropriate `candidate key`.
Using an auto-incrementing integer as a `candidate key` is a common practice in many database systems.
We are considering adding a surrogate key to the table and using it as the primary key, leaving the current `candidate key` as an alternate key.
We are evaluating the performance implications of using a long string as the `candidate key` for a large table.
We decided against using the email address as a `candidate key` due to the possibility of users changing their addresses.
We explored using a universally unique identifier (UUID) as a `candidate key` for distributed databases.
While several attributes could function as a `candidate key`, only one can be chosen as the primary key.