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所在平台: Udemy |
课程主页: https://www.udemy.com/course/learn-mongodb-from-scratch-absolute-beginners-introduction/
课程评论：没有评论
课程名称：从零开始学习MongoDB：绝对初学者入门 课程概述： MongoDB是一种文档导向的数据库管理系统（DBMS），其数据模型由类似JSON的对象组成，而不是关系数据库管理系统（RDBMS）中的表格。MongoDB不支持连接和事务，但具备二级索引、丰富的查询语言、按文档级别的原子写入和完全一致的读取。MongoDB使用BSON，这是一种类似但更具表达能力的二进制对象格式。该系统采用动态架构，允许在不定义文档结构（即字段或值类型）的情况下创建集合。用户可以通过添加新字段或删除现有字段轻松更改文档结构。集合中的文档需要唯一的字段集合。MongoDB将数据存储在集合中，而不是表中；集合大致上相当于RDBMS中的表，每个集合可以包含一个或多个文档，相当于关系数据库表中的记录或行，每个文档则可以包含多个字段，相应于列。 作为一种NoSQL数据库引擎，MongoDB当前非常流行，提供了相对宽容的数据库体验（与关系数据库相比）。MongoDB的动态模式允许以非常灵活的方式插入数据，最主要的用例之一是存储无结构数据，例如传感器数组的数据。MongoDB能够轻松处理大量数据流，提供一个可靠的存储库。 您将学习： - 如何设置本地MongoDB数据库的环境 - 如何在MongoDB中创建数据库 - 如何在MongoDB中创建集合 - 如何在MongoDB中删除数据库 - 如何在MongoDB中进行CRUD操作 - 如何使用Python与MongoDB交互 - 如何在MongoDB中合并集合 该课程旨在为绝对初学者提供全面的MongoDB入门知识，帮助学员掌握基本操作和应用。
MongoDB is a document-oriented DBMS, with JSON-like objects comprising the data model, rather than RDBMS tables. MongoDB does not support joins nor transactions. However, it features secondary indexes, an expressive query language,atomic writes on a per-document level, and fully-consistent reads. MongoDB uses BSON, a binary object format similar to, but more expressive than JSON..MongoDB uses dynamic schemas. We can create collections without defining the structure,i.e. the fields or the types of their values, of the documents. You can change the structure of documents simply by adding new fields or deleting existing ones. Documents in a collection need unique set of fields. MongoDB database stores its data in collections not in tables The collections are the rough equivalent of RDBMS tables. A collection holds one or more documents, which corresponds to a record or a row in a relational database table, and each document has one or more fields, which corresponds to a column in a relational database table. As one of the NoSQL database engines, MongoDB is a pretty trendy product at the moment. MongoDB provides for a fairly permissive database experience (compared to that of a relational database). The MongoDB schema is dynamic, which allows you to insert data in a very flexible way. One of the key use cases for MongoDB is storing unstructured data, such as from sensor arrays. MongoDB can comfortably chomp away at large data streams, providing a resilient repository. What you will learn How to setup your environment of a local mongoDB databaseHow to create a database in mongoDBHow to create a collection in mongoDBHow to drop a database in mongoDBHow to create a CRUD operations in mongoDBHow interact with mongoDB using pythonHow to combine collections in MongoDB
