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所在平台: Udemy |
课程主页: https://www.udemy.com/course/introduction-to-graph-databases-using-neo4j/
课程评论：没有评论
课程名称：使用Neo4J的图形数据库入门 课程概述：图形数据库因其易用性、简洁性和灵活性而日益受到欢迎。与关系数据库或文档数据库相比，图形数据库能够更好地表达与产品经理设想相符的真实世界数据模型。此外，它支持事务操作，且比关系数据库在大型数据库中的查询速度更快。eBay成功地使用Neo4J图形数据库优化本地配送路线，而沃尔玛则利用Neo4J数据库提供实时的本地推荐。图形数据库在欺诈检测等用例中也显示出良好的应用潜力。 在本课程中，您将学习图形数据库的基本知识，无需具备图形数据库的先前背景，适合初学者开发者。课程将讲解使用图形数据库的理由，以及如何使用Neo4J构建图形数据库。您将与我一步步合作，完成以下内容： - 图形数据库简介 - Neo4J简介 - 使用Neo4J构建现实世界的推荐系统 通过本课程，您将学习如何从桌上建立推荐引擎，享受10节以上讲座的全方位指导，适合初学程序员，并为习惯通过演示学习的用户提供理想选择。课程采取视觉化培训方法，提升用户的记忆力和加速学习速度，甚至将最复杂的应用简化为简单的步骤。同时，课程还提供挑战题，以增强学生对概念的理解并配有解决方案进行验证。 课程结束时，您将能够展示自己对图形数据库的掌握，并准备好构建全新的应用程序。此外，图形数据库对于解决图神经网络的挑战也非常有用。
Graph databases are gaining popularity these days because of their ease of use, simplicity, and agility. As compared to relational or document databases, graph databases are great at expressing real-world data models with same set of semantics as a product manager would express. Unlike document databases, it supports transactional operations. Unlike relational databases, it supports fast querying across large databases.eBay is successfully using Neo4J graph databases for optimizing routes for local delivery. Walmart is using the Neo4J database for real-time local recommendations. Graph databases are also popular for fraud detection use cases.In this course, you will learn the fundamentals of graph databases. No prior background in a graph database is assumed, which makes it ideal for beginner developers. I'll cover the rationale behind using a graph database. Content and OverviewThis course teaches you how to build a graph database using Neo4J. You will work along with me step by step to build the following answersIntroduction to Graph databasesIntroduction to Neo4jBuild real-world recommendations using Neo4jWhat am I going to get from this course?Learn to build a recommendation engine from a professional trainer from your desk.Over 10 lectures teaching you how to build a recommendation engine using a graph databaseSuitable for beginner programmers and ideal for users who learn faster when shown.Visual training method, offering users increased retention and accelerated learning.Breaks even the most complex applications down into simplistic steps.Offers challenges to students to enable the reinforcement of concepts. Also, solutions are described to validate the challenges.At the end of the course you'll be able to demonstrate your command of graph databases and will be ready to build brand-new applications. A graph database is also useful for solving Graph Neural network challenges.
