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所在平台: Udemy |
课程主页: https://www.udemy.com/course/cloud-databases-on-aws-and-azure/
课程评论：没有评论
课程名称：AWS 和 AZURE 上的云数据库 课程概述：你是否正在进行一个涉及云数据库的项目？随着云计算平台的发展，了解云数据库将大大提升你的项目水平。课程涵盖传统 SQL 关系数据库以及基于 JSON 的 NoSQL 和 NewSQL 数据库。学员将掌握在云中轻松配置数据仓库并在两个数据库之间迁移数据的方法。云计算的核心特征包括可扩展性、成本效益和弹性，这些将使你的数据库管理更加高效。课程为初学者设计，从基础知识开始，逐步深入到专业级别的高级概念，因此无论你是学生还是数据库新手，都能轻松跟上进度。 云数据库的优势包括： - 容易扩展（无需在初始阶段预配全部资源） - 高弹性（能够在需求激增时创建大量实例，防止网站崩溃） - 易于与各类云服务（如存储、计算、分析、移动、物联网、机器学习和数据科学等）集成 - 提供丰富的数据库种类，包括关系型、SQL、NoSQL、JSON 等 - 凭借几乎实时的技术支持和优秀的文档及示例项目，学习过程更为顺畅 在本课程中，学员将学习 AWS（亚马逊网络服务）和 Microsoft Azure 云计算平台上的各种云数据库。课程初期将专注于 AWS 的云数据库，随后转向 Microsoft Azure 上的数据库，以帮助学员更好地比较这两个主要云平台并制定数据库策略。 AWS 提供的数据库服务包括： - Amazon RDS（关系数据库服务） - DynamoDB（NoSQL 数据库，包括键值、列、文档等） - Elasticache（大规模缓存的内存数据存储） - Redshift（用于创建数据归档） - Neptune（快速可靠的图数据库） Microsoft Azure 提供的数据库服务包括： - Azure SQL 数据库（云上的关系数据库） - CosmosDB（NoSQL 数据库，包括键值、列、文档、图等） - 数据仓库（存储半结构化或结构化数据的低频数据归档） 通过本课程，学员将全面掌握云数据库的使用，从而在未来的项目中游刃有余。
Are you working on a project that involves some kind of cloud database? There are definitely a wide array of databases available to us, but as everything if shifting towards cloud computing platforms, it would be a wise decision to learn some of the Cloud Databases that can take your project to the next level. You will find all kinds of databases on the cloud, be it a traditional SQL based Relational Databases, or the JSON based NoSQL and NewSQL databases. You can easily provision Data warehouse on the cloud and migrate data between two databases easily. Cloud adoption is powered by massive scalability, cost-effectiveness, elasticity, that are the core features of Cloud computing platforms. You can easily integrate a wide range of tools and services available on cloud platform with Cloud databases, where you no longer need to worry about updating software patches, or load balancing issues. This is a beginner level course, where you learn everything about Cloud Databases right from scratch, so don't worry if you are a student or new to databases. But it gradually moves towards advanced concepts that can upgrade your database skills to the professional levels.Advantages of Cloud DatabasesEasy to Scale up and down (No need to provision everything at the beginning)Highly Elastic- can create large number of instances when demand surges(A large number of websites simply Crash due to their incapability to host sudden rise of Traffic, this can be easily handled by Cloud Databases)Easy to integrate with wide range of Cloud services such as Storage, Compute, Analytics, Mobile, IoT, Machine Learning and Data Science, etcThere is a huge variety of Cloud Databases, you can create any or all of them- Relational, SQL based, NoSQL, JSON based, etc.Cloud databases are backed with almost real-time technical support, with great documentation and example projects.In this course you will be learning various cloud databases on AWS (Amazon Web Services) and Microsoft Azure cloud computing platforms. In the starting sections of this course, you will learn about various cloud databased on AWS, followed by the cloud databases on Microsoft Azure. This way you would be in a better position to compare these two major cloud platforms and plan your database strategy on cloud.Database services on AWS:Amazon RDS (Relational Database Service)DynamoDB (NoSQL databases- Key Value, column, document, etc)Elasticache (In-memory data store with large cache)Redshift (used to create data archive)Neptune (quick and reliable Graph database)Database services on Microsoft Azure:Azure SQL Database (Relational database on cloud)CosmosDB (NoSQL databases- Key Value, column, document, graph, etc)Data Warehouse (keep infrequent data archive of semi-structured or structured data)
