introtostreamprocessing
21 小时 通常来说是3天，包括中间休息。
Stream Processing指的是“运动中的数据”的实时处理，即，在接收数据时对数据执行计算。这些数据被读取为来自数据源的连续流，例如传感器事件，网站用户活动，金融交易，信用卡刷卡，点击流等。 Stream Processing框架能够读取大量传入数据并几乎立即提供有价值的见解。
在这个以讲师为主导的现场培训（现场或远程）中，参与者将学习如何使用现有的大数据存储系统和相关的软件应用程序和微服务来设置和集成不同的Stream Processing框架。
在培训结束时，参与者将能够：
听众
课程 格式
笔记
Machine Translated
Introduction
Overview Frameworks and Programming Languages
Comparison of Features and Strengths of Each Framework
Overview of Data Sources
Deployment Options
Setting up the Development Environment
Installing and Configuring
Assessing Your Data Analysis Needs
Integrating the Streaming Framework with Big Data Tools
Transforming the Input Data
Inspecting the Output Data
Integrating the Stream Processing Framework with Existing Applications and Microservices
Troubleshooting
Summary and Conclusion
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