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所在平台: Udemy |
课程主页: https://www.udemy.com/course/learning-mongodb-deployments/
课程评论：没有评论
课程名称：学习MongoDB部署 课程概述：MongoDB能够以多种方式存储和处理大量数据，从而提升业务价值。其无结构、无模式的存储灵活性结合强大的查询和后处理功能，使得MongoDB成为企业大数据需求的引人注目的解决方案。本课程深入探讨了各种MongoDB部署（开发、测试、生产、演示）的安装和配置。通过最佳实践的方法，课程将帮助学员熟悉安装要求和选项，并深入讨论一个较少涉及的主题：MongoDB配置。本课程将帮助你掌握在各种平台和环境中部署MongoDB的所有技术，你将学习创建测试、开发和生产集群等最佳生产实践。最后，你还将学习如何在生产环境中有效保护你的集群。 作者介绍：Micheal Shallop自1981年开始编程，首次接触的是Tandy TRS-80 Model 1，并自此没有停止。1991年，他从俄克拉荷马州立大学获得计算机科学荣誉学位。Micheal在职业生涯中使用过多种编程语言和数据库，包括关系型数据库。他在2011年获得了一项专利，其内容涉及在传统（汽车）业务中进行实时数据收集、聚合和预测的技术。Micheal目前正在为givingassistant设计和编写一个后台事件驱动的对象关系无关框架，主要使用AMQP作为数据传输媒介，PHP 7.1作为主要语言。自2010年以来，他一直在使用PHP进行MongoDB编程，并负责多个系统的架构，主要是后台框架。Micheal对任何有编程语言的事物都充满兴趣，最近他在Raspberry Pi上实验Arduino编程，并用Python编写社交媒体网站。他在RabbitMQ、数据库技术、Python、C/C++和Linux方面也具备技术能力。Micheal目前居住在墨西哥海滩旁，与他的两只狗和高速互联网连接为伴。
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. This course 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.About the AuthorMicheal 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 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.Micheal currently lives next to a Mexican beach with his two dogs and a cable Internet connection.
