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所在平台: Udemy |
课程主页: https://www.udemy.com/course/ibm-cloudant-nosql-dbaas/
课程评论：没有评论
课程名称：IBM Cloudant - NoSQL数据库即服务 课程概述：本课程专注于IBM Cloudant——一款由IBM提供的强大NoSQL数据库即服务解决方案。无论你是初学者还是有一定经验的开发者，这门课程都将从基础开始，逐步深入高级主题和功能，让你了解Cloudant在竞争对手中的独特之处。课程包括理论和实践环节，你将学习和实践多种概念、特性和选项，探索强大的工具。 我们的学习旅程将从执行基本的CRUD操作（创建、读取、更新、删除）开始，先学习ACID语义、CAP定理等基础知识。接着，你将学习如何构建复制、索引（主索引、次索引、搜索）以及Cloudant查询。 虽然有多种数据库可供选择，但根据具体场景选择合适的数据库至关重要。关系数据库易于维护，但在可扩展性和可靠性方面存在局限。当可扩展性成为首要考虑时，开发者通常会考虑NoSQL或文档型数据库。在需要集成云服务，尤其是多云生态系统时，Cloudant作为一款功能丰富且强大的NoSQL数据库，是理想的选择。当面对复杂的地理数据或需要进行高级分析操作时，Cloudant能提供有效支持。使用IBM Cloudant数据库，您可以轻松管理大数据、机器学习和数据科学项目。
This course is all about IBM Cloudant- NoSQL Database as a Service, which is one among the most powerful Database solution out there powered by IBM. Here in this course, you would learn everything right from scratch so don't worry if you are a beginner. We will be diving deeper into advanced topics and features that make Cloudant stand high among its competitors. This learning series consists of both theoretical and practical sessions, where you would learn and practice a wide range of concepts, features, options by exploring powerful utilities. We would begin our journey by performing basic CRUD operations (Create, Read, Update, Delete) on cloudant after learning fundamentals like ACID semantics, CAP theorem, etc. Then we would learn and build Replications, Indexes- Primary, Secondary, Search and Cloudant query. There are various databases available to, but it depend on the scenario where we can choose a database based on its capabilities. Relational databases are easy to maintain, but they are not highly scalable and reliable. When scalability is the prime concern, developers look at a NoSQL or document based databases. When you have to integrate some of the cloud services either based on multi-cloud ecosystem, Cloudant is one of the feature rich and powerful NoSQL database available on the Cloud. You could use Cloudant specially when things get really complex with Geographical data or some advanced analytical operations are required to be performed on the data set. You can easily create and manage Big Data, Machine Learning and Data Science projects with IBM Cloudant Database.
