sample inventory database design

appropriately retaining redundant data in the database design to reduce program complexity. I will introduce a case of intentionally increasing data redundancy. 　　II. design of commodity information tableAssume that you are an electronic brain developer of a department store. one day, the boss asks you to develop an online e-commerce platform for the company. Th

Generally, you can determine whether a database is designed with a comparative specification from two aspects. First, check whether there are a large number of narrow tables, and second, whether the number of wide tables is small enough. If the two conditions are met, the standardization level of the database is still relatively high. Of course, these are two general indicators. To meet the requirements of

Database Design Guide If we compare the data of an enterprise to the data necessary for life, the database design is the most important part of the application. Related Data The materials designed by the database are full of resources, and university degree courses are

columns are dispensable. If the Oracle Database Administrator encounters this situation, I suggest creating another sub-table to save these columns. Then, the master table is associated with the sub-table by using the keyword. Storing data in two independent tables makes the design of the winner table easier and meets the needs of storing null values. Requirement 2: duplicate values or columns should not e

Tags: conceptual model database design structure informationConceptual structure DesignWhat is conceptual structure designThe process of abstracting the user requirement analysis into the information structure i.e. the conceptual model is the conceptual structure designThe conceptual structure is the common foundation of various data models, which is more independent of the machine, more abstract, and more

, the ORM framework is not omnipotent. In the face of complicated business logic, it cannot completely eliminate SQL statements and replace complex database access logic, however, it is a good embodiment of the "80/20 (or 90/10) Law" (also known as the "Pareto Law"), that is: less flowers (10%-20%) the effort can solve most of the problems (80%-90%), while much effort is needed to solve the remaining few problems. At least, the CRUD operations that oc

Invoicing System Database Design Report Product management functions 1. Basic information table of product types: (add, delete, modify, and so on)Field name type width primary key no foreign key noType ID integer Yes NoType name string 20 noUpper-level ID integer No YesUpper-level ID integer No YesNote No 2 Basic information table of warehouse receiving type: (preset)Field name type width primary key no for

of items included, inventory, purchase price, sales price, and discount price. You will soon design four tables: wares_type, wares_provider, and wares_info: item type table (wares_type) description of name type constraints type_id int has no duplicate category ID, primary key type_name char (50) null type names are not allowed. Repeated type_father int is not allowed to be null, if it is a top node,

name, product category, related information, supplier, number of items included, inventory, purchase price, sales price, and discount price. You will soon design four tables: wares_type, wares_provider, and wares_info ): Item type table (wares_type)Description of name type constraintsType_id int no duplicate category ID, primary keyType_name char (50) cannot be empty or repeatedType_father int cannot be n

complicated business logic, it cannot completely eliminate SQL statements and replace complex database access logic, however, it is a good embodiment of the "80/20 (or 90/10) Law" (also known as the "Pareto Law"), that is: less flowers (10%-20%) the effort can solve most of the problems (80%-90%), while much effort is needed to solve the remaining few problems. At least, the crud operations that occupy the vast majority in the data access layer, by u

complicated business logic, it cannot completely eliminate SQL statements and replace complex database access logic, however, it is a good embodiment of the "80/20 (or 90/10) Law" (also known as the "Pareto Law"), that is: less flowers (10%-20%) the effort can solve most of the problems (80%-90%), while much effort is needed to solve the remaining few problems. At least, the crud operations that occupy the vast majority in the data access layer, by u

complex database access logic, however, it is a good embodiment of the "80/20 (or 90/10) Law" (also known as the "Pareto Law"), that is: less flowers (10%-20%) the effort can solve most of the problems (80%-90%), while much effort is needed to solve the remaining few problems. At least, the crud operations that occupy the vast majority in the data access layer, by using the ORM framework, we only need to spend a very small amount of time and effort t

, however, it is a good embodiment of the "80/20 (or 90/10) Law" (also known as the "Pareto Law"), that is: less flowers (10%-20%) the effort can solve most of the problems (80%-90%), while much effort is needed to solve the remaining few problems. At least, the crud operations that occupy the vast majority in the data access layer, by using the ORM framework, we only need to spend a very small amount of time and effort to solve them. This undoubtedly shortens the entire project development cycl

Ylbtech-DatabaseDesgin: Microsoft officially provides-Northwind (e-commerce)-Database Design 1.a, database relationship. b. Database Design script (the remarks for this script are described below according to some materials. If any errors are caused, I hope to correct them.

%-20%) can be used to solve most (80%-90%) problems, while much effort is needed to solve the remaining few problems. At least, the crud operations that occupy the vast majority in the data access layer, by using the ORM framework, we only need to spend a very small amount of time and effort to solve them. This undoubtedly shortens the entire project development cycle. Back to the petshop discussion. Now we have data entities and abstract interfaces and implementations of data objects. It can

If we want to migrate an old database system to a new database system, it is a great challenge to understand the data structure in the old database system, especially when we have to use early databases on other DBMS platforms, it is even more difficult. The tools provided by visio enableProgramSmoother, it uses a powerful reverse engineering Wizard to retrieve