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所在平台: Udemy |
课程主页: https://www.udemy.com/course/mongodb-complex-querying-advance-data-model-2-in-1/
课程评论：没有评论
课程名称：MongoDB：复杂查询与高级数据模型：2合1 概述： MongoDB使得存储和处理大规模数据集成为可能，从而增加了商业价值。无结构的模式无关存储的灵活性，加上强大的查询和后处理功能，使MongoDB成为企业大数据需求的有力解决方案。这个全面的2合1课程将帮助您掌握在各种平台和环境中部署MongoDB的所有技术。您将学习一些最佳的生产实践，例如创建测试、开发和生产集群。最后，您还将学习如何有效地保护生产环境中的集群。此外，课程还展示了不同的MongoDB集群架构如何影响应用程序的性能、可扩展性和可靠性。 课程内容与概述： 该培训项目包含两个完整的课程，经过精心挑选，以提供您最全面的培训。 第一个课程《学习MongoDB部署》深入讲解了各种MongoDB部署的安装和配置（开发、测试、生产、演示）。该课程采用最佳实践的方法，使用户熟悉安装要求和选项，同时深入探讨一个不常涉及的话题：MongoDB配置。参加该课程将帮助您掌握在各种平台和环境中部署MongoDB的所有技术，并学习如何创建测试、开发和生产集群以及如何有效保护生产环境中的集群。 第二个课程《MongoDB工具与服务》将通过真实的案例让您直接观察和使用这些工具在您的应用程序中。您将通过课程中涉及的技巧深入了解MongoDB的使用。这是提升您的应用性能的综合课程。在此视频课程中，我们将探讨MongoDB的性能分析和性能工具，并通过MongoDB云服务，使其变得更加易于访问，包括分析、自动化，甚至作为服务的数据库。最后，我们将展示不同的MongoDB集群架构如何影响应用程序的性能、可扩展性和可靠性。 关于作者： Micheal Shallop自1981年起编程，至今仍未停止。他于1991年从俄克拉荷马州立大学计算机科学专业毕业，获得荣誉学位。在他的职业生涯中，他使用过多种编程语言和数据库，包括关系型和非关系型数据库。他是2011年获得专利的技术作者，专注于传统（汽车行业）业务的实时数据收集、聚合和预测。他目前在givingassistant.org设计和编写后端事件驱动的对象无关框架，使用AMQP作为数据传输媒介，主要语言为PHP 7.1。自2010年以来，他一直在为Mongo开发PHP项目，并担任多个系统的架构师。他对任何编程语言都感兴趣，最近在树莓派上尝试Arduino编程，并用Python编写社交媒体网站。 Rick Copeland是Arborian Consulting的首席顾问，专注于提供有关MongoDB和Python的咨询、培训及定制开发服务。自2009年以来，他就开始使用MongoDB，自2005年以来使用Python，并在各种用户组和会议上就这两个主题进行了演讲。他是Python软件基金会的成员，也是MongoDB大师。 总体而言，该课程为想要深入了解MongoDB及其应用的学员提供了强有力的支持与指导。
MongoDB makes it possible to store and process large sets of data in ways that increase business value. The flexibility of unstructured, schema-less, storage, combined with robust querying and post-processing functionality, make MongoDB a compelling solution for enterprise big data needs.With this comprehensive 2-in-1 course you master all the techniques for deploying MongoDB across various platforms and environments. You will learn some of the best production practices such as creating a test, dev and prod cluster. Lastly you will learn how to effectively secure your clusters in production. It also shows different MongoDB cluster architectures affect application performance, scalability and reliability.Contents and OverviewThis training program includes 2 complete courses, carefully chosen to give you the most comprehensive training possible.The first course, Learning MongoDB Deployments addresses in-depth, the installation and configuration of various MongoDB deployments (dev, test, prod, demo). Using a best-practice approach, this course familiarizes the user with installation requirements and options while delving into an infrequently-covered topic: MongoDB configuration.Taking this course will help you master all the techniques for deploying MongoDB across various platforms and environments. You will learn some of the best production practices such as creating a test, dev and prod cluster. Lastly you will learn how to effectively secure your clusters in production.The second course, MongoDB Tools and Services takes you through real world examples that you can watch and use directly for your application. You will learn the ins and outs through the hacks covered in the course. This is your one stop course to boost your application performance for your audience. In this video course, we will explore the profiling and performance tools for MongoDB. We will make it even more accessible by moving to MongoDB cloud services, including analytics, automation, and even database-as-a-service. Finally, we will show different MongoDB cluster architectures affect application performance, scalability and reliability.About the Authors:Micheal Shallop started programming in 1981 on a Tandy TRS-80 Model 1 and hasn't stopped since. He graduated in 1991 from Oklahoma State University with an Honors degree in Computer Science. In his career, he's coded in many programming languages and has used a variety of databases, relational and otherwise. He was the technical author of a patent awarded in 2011 for his work on real-time data collection, aggregation, and forecasting in a conventional (automotive) business.He is currently working for givingassistant. org designing and writing a back-end, event-driven, object-oriented, data-agnostic framework utilizing AMQP as the data transport vector and PHP 7.1 as the primary language. He has been programming in PHP for Mongo since 2010 and has been the architect for several systems, mostly back-end frameworks.Micheal is interested in anything with a programming language behind it. Most recently, he has been experimenting with Arduino programming on the Raspberry Pi, and writing a social media site in Python. He is also technically skilled in RabbitMQ, general database tech, Python, C/C++, and Linux.Rick Copeland is the Principal Consultant of Arborian Consulting, which provides MongoDB and Python-focused consulting, training, and custom development services. Rick has been using MongoDB since 2009 and Python since 2005, and has spoken at various user groups and conferences on both topics. He is a member of the Python Software Foundation and the Masters of MongoDB.
