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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/data-intensive-applications
课程评论：没有评论
课程名称：设计数据密集型应用 课程概述：欢迎参加设计数据密集型应用的专业课程。本课程将持续四周，配有视频和练习支持。 通过本课程的学习，学员将能够根据数据类型和信息量、响应时间、处理方式和查询条件，提议、设计、正当化并开发高可靠性的信息系统，以支持系统的可扩展性、可维护性、安全性和可靠性，同时考虑到最新的信息技术。 软件下载： - MySQL Workbench - Rapidminer - Hadoop框架Hortonworks - MongoDB 如果您使用的是Mac / iOS操作系统，需要执行一个名为VirtualBox的操作。 课程大纲： 1. 课程名称：设计事务系统 描述：完成本模块后，学员将学习如何根据一致性、并发性和完整性区分事务信息系统和分析信息系统，并提出适合用户需求的架构。 2. 课程名称：设计分析系统 描述：完成本模块后，学员将学习如何根据对大量历史结构化数据的查询需求区分事务信息系统和分析信息系统，以实现快速处理。 3. 课程名称：设计替代关系数据库的方案 描述：完成本模块后，学员将学习如何根据用户需求选择合适的数据库技术，检测欺诈行为，并支持ACID属性。 4. 课程名称：在数据湖中设计分析系统 描述：完成本模块后，学员将识别分析大量结构化和半结构化数据所需的架构和技术。
Name:Designing a transaccional system
Description:After completing this module, a learner will learn how to distinguish a transactional from an analytical information system according to consistency, concurrency and integrity, and how to propose an architecture that suits user requirements.
Name:Designing an analytical system
Description:After completing this module, a learner will learn how to distinguish a transactional from an analytical information system according to the queries required on a huge amount of historical structured data that requires fast processing.
Name:Designing an alternative to relational databases
Description:After completing this module, a learner will learn how to distinguish which database technology to use to suit the user requirements, detect frauds and support ACID properties.
Name:Designing an analytical system within a data lake
Description:After completing this module, a learner will identify the architecture and technologies required to analyse a huge volume of structured and semistructured data.
Welcome to the specialization course of Designing data-intensive applications. This course will be completed on four weeks, it will be supported with videos and exercises. By the end of this specialization, learners will be able to propose, design, justify and develop high reliable information systems according to type of data and volume of information, response time, type of processing and queries in order to support scalability, maintainability, security and reliability considering the last information technologies. Software to download: MySQL Workbench Rapidminer Hadoop framework Hortonworks MongoDB In case you have a Mac / IOS operating system you need to perform an action called VirtualBox.
