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所在平台: Udemy |
课程主页: https://www.udemy.com/course/database-engineerdba-postgresql-ibm-db2-mariadbnosql/
课程评论：没有评论
课程名称：数据库工程师/数据库管理员 - （PostgreSQL, IBM-DB2, MariaDB, NoSQL） 课程概述：本课程旨在培养数据库工程师与数据库管理员，帮助学员掌握数据库设计、监控及管理的核心技能。数据库工程师根据公司的需求以及数据存储和用户访问量设计新的数据库。同时，他们需持续监控数据库及相关系统，确保其高效运行。数据库管理员的职责则是确保数据可用、保护数据不丢失或损坏并能方便访问，同时负责数据库的创建、维护和安全管理，包括数据的备份和可用性保障。 本课程深入讲解多种数据库技术，包括开源数据库PostgreSQL、IBM的Db2关系数据库以及以开源创新和企业级可靠性著称的MariaDB。同时，学员将学习结构化查询语言（SQL），这是一种国际公认的数据库交互语言。随着数据的迅速增长，掌握SQL技能的专业人才需求日益增加，这些人才能够促进商业智能及其他依赖数据的领域的进步。 另外，课程还将介绍NoSQL数据库，它们因能够高效存储超大规模非关系数据而受到欢迎，尤其在大数据处理方面展现出优势，解决了传统数据库无法处理的问题，具备处理大数据集的能力以及现代应用所需的可扩展性和灵活性。 通过本课程，学员将获得在数据驱动的新时代中必需的知识与技能，帮助他们在数据库管理和工程领域建立职业生涯。
Database engineers design new databases based on company needs, data storage needs, and the number of users accessing the database. Monitor Databases and Programs. Database engineers continuously monitor databases and related systems to ensure high functionality.Database administrator ensures that data is available, protected from loss and corruption, and easily accessible as needed. Also they oversee the creation, maintenance and security of your databases. manages, backs up and ensures the availability of the data.PostgreSQL is commonly known as Postgres and it is also open source database. PostgreSQL is a powerful, open source object-relational database system.IBM Db2 is a family of related data management products,including relational database servers, developed and marketed by IBM. MariaDB is great for its open-source innovation and enterprise-grade reliability, as well as its modern relational database. SQL -Structured Query Language is an internationally recognized language used to communicate and manipulate various database systems.Data is everywhere and growing at a rapid rate. Most Software application we interact with daily deals with stored data. From our interaction with our banks to social media applications like Facebook and Instagram..Due to the relevance and dependency on data , professionals that are skilled in SQL are always in high demand to help interact with various databases to help business intelligence and other sectors that relies on data.NoSQL (Non-SQL or Not-only-SQL) databases are increasing in popularity due to the growth of data as they can store non-relational data on a super large scale, and can solve problems regular databases can't handle. They are widely used in Big data operations. Their main advantage is the ability to handle large data sets effectively as well as scalability and flexibility issues for modern applications.
