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所在平台: Udemy |
课程主页: https://www.udemy.com/course/ultimate-guide-to-data-streaming-with-aws-kinesis/
课程评论：没有评论
课程名称：终极AWS Kinesis数据流指南 课程概述：随着用户对个性化体验的需求不断增加，实时流媒体技术在商业创新中的重要性日益凸显。AWS Kinesis系列流数据持久性和处理服务已被广泛认可为实现事件驱动架构并支持实时分析的首选工具。本课程旨在帮助学生利用Kinesis数据流（KDS）和Kinesis数据火hose（KDF），构建高吞吐量、低延迟的数据管道，从而实现可扩展和松耦合的系统。此外，课程还将重点介绍这些流持久性技术如何与Kinesis数据分析结合使用，以进行高级实时计算，从而驱动明智的商业决策和洞察力。 本课程重在实践，不仅讲解这些服务的理论，还通过演示和代码演练展示实际应用。课程中的大多数代码示例将同时使用Python和Java编程语言进行演示，以覆盖更广泛的开发者受众。而在一些情况下，仅使用一种语言进行示范，以便更简单或由于某种功能的限制而不可用的情况。 这个课程适合希望掌握AWS Kinesis数据流和流媒体技术的开发者，通过实践的学习方式，帮助他们在实际工作中应用这些知识，提升自己的技能。
Real-time streaming technologies are growing in popularity among the many technological drivers of business innovation because users are increasingly demanding personalized experiences which adapt and respond to them based on their journey through digital products and services. The AWS Kinesis suite of stream persistence and processing services have come to be recognized as first class choice for achieving the kinds of event driven architectures feeding into real-time analytics.In this course students learn to harness the power of Kinesis Data Streams (KDS) and Kinesis Data Firehose (KDF) to construct high-throughput, low latency, pipelines of data across a variety of architectural components leading to scalable and loosely coupled systems. Additional focus is placed on how these stream persistence technologies are used in conjunction with Kinesis Data Analytics to perform advanced, real-time, computations which drive informed business actions and insights.The course goes beyond the theory of what these services are, making heavy use of demonstrations and code walkthroughs to give examples of how these technologies are used in practice. Most code examples are demonstrated in parallel using both the Python and Java programming languages in an effort to reach the largest audience of developers. However, some examples are presented only in one language in cases where either one language doesn't support a particular functionality or is significantly less complex to demonstrate.
