Example: Pattern Validation

The "Post Codes in UK" table stores postal code data specific to the United Kingdom. It includes columns such as Postcode UK for storing UK postal codes, Address for associated addresses, Country to denote the country (in this case, UK), and standard metadata fields like Id, Record Owner, Created By, Date Created, Last Modified By, and Date Modified. This table facilitates the storage and management of UK postal code information within the database, supporting applications that require accurate address validation and geographical data referencing.

The "Post Codes in Canada" table serves a similar purpose as the UK counterpart but focuses on postal code data for Canada. It includes columns such as Postcode CA for storing Canadian postal codes, Address for associated addresses, Country to denote the country (Canada), and standard metadata fields. This table enables the storage and retrieval of Canadian postal code information, supporting applications that require precise location data and address verification within Canada.

The "Validation of Digits" table is dedicated to validating numeric data entries commonly used in sensitive information handling. It includes columns such as Credit Card Number, SSN (Social Security Number), US phone number, and Five-digit postal code. This table likely contains algorithms or rules to validate the correctness and format of these types of data entries, ensuring data integrity and compliance with standards or regulatory requirements.

The "Latin Letters or/and Digits" table focuses on managing alphanumeric product keys or similar identifiers that combine letters and digits. It includes columns for storing such product keys, along with standard metadata fields. This table supports applications that require managing and validating unique alphanumeric identifiers, ensuring they conform to specified patterns or formats.

Together, these tables provide a structured approach to managing and validating data entries based on specific patterns (such as postal codes, numeric formats, and alphanumeric keys) within the database. They support various applications requiring accurate data validation, compliance with standards, and effective management of structured data.