Database developers and data architects
Designing a new CRM database from scratch for a sales team.
The DataModel mind map template provides a visual database schema for a CRM and e-commerce system, covering 8 core entities (navigation, company_type, job_title, company, contact, order, order_item, product) with 57 nodes detailing primary keys, foreign keys, and data types. This DataModel template is ideal for developers, data architects, and students designing relational databases. Key nodes include 'pk_company' (int) and 'company_name' (varchar(100)), illustrating how entities like 'company' and 'contact' are linked via foreign keys such as 'fk_company'. The schema also specifies data types like 'varchar(50)' for 'company_type' and 'date' for 'date_order', making it a practical cheat sheet for database normalization.
Terms and ConditionsDesigning a new CRM database from scratch for a sales team.
Teaching students about relational database schemas and entity relationships.
Documenting an existing e-commerce system's data model for team onboarding.
Open the .xmind file to visualize the CRM and e-commerce entities and expand branches to view specific columns and data types.
Modify existing nodes or add new subtopics to tailor the primary keys, foreign keys, and data types to your specific database requirements.
Export the completed map as an image or PDF for documentation and use it as a reference for writing your SQL CREATE TABLE statements.
The template covers 8 entities: navigation, company_type, job_title, company, contact, order, order_item, and product. Each entity includes its primary key, relevant attributes, and data types.
It uses a hierarchical mind map with root 'DataModel' and branches for each table. Each branch lists columns with data types (e.g., varchar(100), int, date) and foreign keys (e.g., fk_company) to show relationships.
Yes. Open the .xmind file in Xmind, then add, remove, or rename nodes to match your schema. You can also change data types or add new entities by branching off the root.
Absolutely. It provides a clear visual representation of tables, keys, and relationships, making it a great study aid for understanding normalization and foreign key constraints.
Common types include int for primary keys, varchar(50/100) for text fields, date for dates, number for prices, and media for images like company logos.
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