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所在平台: Udemy |
课程主页: https://www.udemy.com/course/learn-typeorm-for-nestjs-fast/
课程评论：没有评论
**课程名称：** Learn TypeORM for NestJS Fast **课程概述：** 本课程旨在教授学员如何利用TypeORM与NestJS框架集成，实现API与数据库的便捷连接和高效维护。作为一名软件工程师，掌握ORM、数据库连接、RESTful API开发以及服务创建等技能将极大地提升你的市场竞争力。 **学习内容：** 本课程将带您入门TypeORM，并结合NestJS框架进行实践。您将学习使用TypeScript构建映射到数据库表的实体（entities），以及如何在NestJS RESTful API中操作这些数据。 **目标学员：** 本课程适合希望深入了解Node.js，特别是NestJS API开发技能的Web开发者。 **课程涵盖主题：** * ORM (对象关系映射) * NestJS * API (应用程序接口) * TypeScript * Services (服务) * 各种数据库关系：一对一 (One-to-One)，一对多 (One-to-Many)，多对多 (Many-to-Many) * Query Builder (查询构建器) * Active Record 模式 * Data Mapper 模式 * SQL (结构化查询语言) **学习成果：** 完成本课程后，学员将能够熟练地在NestJS应用程序中创建各种类型的数据库关系，并将这些关系以JSON格式输出供API消费。课程将通过真实世界的案例，帮助学员掌握修改数据库实体的方法。 **先修知识要求：** 学员应了解数据库连接字符串的运作方式、端口号，并具备在本地环境中设置数据库的经验。 **使用工具：** * PostgreSQL * Visual Studio Code * Insomnia * Docker (非必需)
Being able to easily connect your API to a database and easily maintain it is one of the most sought-after skills as a Software Engineer. Having knowledge of ORMs, database connections, Rest API development, and creating services increases your worth as an engineer. In this course, you will learn the basics of TypeORM with NestJS. You will use Typescript to build database entities that map to tables in the database and manipulate data for your NestJS Rest API.This course is for web developers looking to gain more knowledge in Node.JS, specifically in frameworks like NestJS API development. This course covers ORMs, NestJS, API, Typescript, Services, One-to-One, One-to-Many, and Many-to-Many Relationships, Query Builder, Active Record, Data Mapper, SQLAt the end of this course, the student should be familiar with being able to create any type of database relationship within a NestJS application and outputting it to JSON for consumption. Real-world examples are used in order to get the student familiar with modifying entities within the database. Students will be expected to know how database connection strings work, port numbers, and how to set up a database locally before taking the course.Tools used include PostgreSQL, Visual Studio Code, Insomnia, Docker ( not required )
