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Relational database notion12/29/2023 ![]() The complete documentation looks like this:ĭownload a copy of this Notion template and click on the Colophon to see the documentation diagrams. On Products, I document “Purchased by” as rollup-Customers-thru-Orders. That calculates the order total from the sum of the Products prices. □ĭefine formulas as attributes. You can add formulas as attributes to entities, using type and name. So on Orders, I create a Notion property called “Rollup Total,” and document it as rollup-sum-Products-price. The purpose of relational notation during the data modeling process is to provide a clear and precise way of describing the relationships between entities, which helps to ensure that the resulting database is well-designed and can effectively meet the needs of. These one-or-more, zero-or-more relations create charming links between entities called Crow’s foot notation. Relational notation is a way of representing relationships between entities in a data model using mathematical symbols and operators. Although Notion can’t enforce it, it’s worthwhile to consider the relationship type: an Order has to have a Customer, but a Product might not have an Order. These might be one- or two-way - Products appear on Orders and Orders are displayed on Products, too. Notion uses the Relation property type to hook up databases. We’ll use just enough to show the big picture of our complex Notion database.ĭefine the entities. By convention, I first letter cap the databases Customers, Orders, and Products.Įstablish relationships. Add a code block on your docs page and set the language to Mermaid.Įntity-Relationship Models are often used in software engineering: imagine whiteboards full of boxes and arrows. Mermaid lets you create diagrams and visualizations using a markdown-like plain text syntax. We can create a visual diagram showing all the tables, relationships, and calculations and maintain it with Notion.ĭemo time! Let’s use the quintessential example: Customers place Orders for Products. To understand a template, users have to click on relations, rollups, and formulae, just to get the big picture of how things relate. Narrowing a big list of tasks can help tremendously for efficiency.Everyone’s favorite “no-code” tool, Notion, can get surprisingly complex. In the example above, I potentially knocked out two tasks that weren't as necessary as I once believed. In this case, I would go back and adjust.Īll of this may seem a bit over the top, but believe me, if your workspace is flooded with dozens of tasks of varying importance, it is vital to make a hierarchical chart of prerequisites. I would label this task as optional, thus making Task A less relevant. ![]() Task C is not of importance or necessary for other tasks. ![]() Task E is a pivotal task with all prerequisites full-filled Task is pivotal (satisfies a major goal within its class) = 2 Task is a prerequisite for multiple tasks = 2 Task is a prerequisite for a pivotal task= 2 (pivotal tasks are bold) It does have a free plan, but it lacks some of Asana’s flagship features like custom fields, timeline views, and unlimited dashboards. Asana is one of the most expensive Notion alternatives on this list at 10.99/user per month. Why Task D over Task A? I refer to a point system that is as follows: However, its steep cost can be a deterrent for teams with smaller budgets. Task B is required for multiple tasks, including tasks in other classes (Jackets). Task B and Task D are the only prerequisites for Task E Task B is the only prerequisite for Task D Task D is a prerequisite for only Task E. Task A is the only prerequisite for Task C Task B is a prerequisite for only Tasks D and E. Task A is a prerequisite for only Task C.
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