ER Diagrams

Data Quality

Built to ensure data quality

Data Model Pack started from the wish to share the knowledge and the lessons learned from many database design projects. We focus on keeping the data models close to business use cases and flexible enough to anticipate new business requirements. We follow the best practices in database design to ensure data quality and to enable easy customization for future applications.

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Database design best practices

We are implementing the best practices in database design through well-thought constraints definitions: PK, FK, NOT NULL, etc. All these directly contribute to ensure the overall data quality for the new application that will use the database schema.

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Flexible rules for database logic

We have built the data models starting from the idea to make the database schema flexible and customizable. As an example, whenever possible, we have created dimension tables that store what we call list of values: Sales_Channels, Delivery_Type, Discount_Type, Payment_Method etc.

Support

We are here to help

We'll assist you with all the data models evaluation, purchasing and maintenance aspects. We offer use cases, detailed documentation and technical support.

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Help Center

If you are looking for Frequently Asked Questions, Help Docs or to get in touch with support, you can visit our Help Center.

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Documentation

You can learn from our detailed documentation about the features and technical design of each data model and how to achieve your specific objectives with Data Model Pack.

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Discover Data Model Pack benefits

Data Model Pack helps you to move forward with well-thought industry data models. Get started and discover all the benefits Data Model Pack offers.

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√Clear and flexible data models
√Instant data model to database schema deployment
√Entity Relationship Diagrams definition
√Tables and columns detailed documentation
√Database design best practices implementation
√Cost-effective data strategy for applications

Accelerate every database schema design with powerful data models

We have already designed the data model and prepared the SQL scripts for creating the database schema objects.

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