         A Practical Introduction to Stream Processing培訓

Introduction

Stream processing vs batch processing
Analytics-focused stream processing
Overview Frameworks and Programming Languages

Spark Streaming (Scala)
Kafka Streaming (Java)
Flink
Storm
Comparison of Features and Strengths of Each Framework
Overview of Data Sources

Live data as a series of events over time
Historical data sources
Deployment Options

In the cloud (AWS, etc.)
On premise (private cloud, etc.)
Getting Started

Setting up the Development Environment
Installing and Configuring
Assessing Your Data Analysis Needs
Operating a Streaming Framework

Integrating the Streaming Framework with Big Data Tools
Event Stream Processing (ESP) vs Complex Event Processing (CEP)
Transforming the Input Data
Inspecting the Output Data
Integrating the Stream Processing Framework with Existing Applications and Microservices
Troubleshooting

Summary and Conclusion