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所在平台: Udemy |
课程主页: https://www.udemy.com/course/streaming-data-pipeline-from-confluent-kafka-to-aws-mysql-db/
课程评论：没有评论
**课程名称：** 从 Confluent Kafka 到 AWS MySQL 数据库的流式数据管道 **课程概述：** 本课程是一门实践性强的入门级课程，旨在教授学员如何从头开始构建一个实时的流式数据管道。该管道将数据从 Confluent Kafka 实时传输到 AWS Lambda，并最终存储到 AWS RDS MySQL 数据库中。 **课程亮点：** * **实践操作：** 通过一步步的指导，学员将亲手搭建完整的流式数据管道，确保理论与实践相结合。 * **关键 AWS 服务：** 重点介绍并实践 AWS IAM（身份和访问管理）、Secrets Manager（密钥管理）和 CloudWatch（监控和日志）等核心 AWS 服务，为学员打下坚实的云端应用基础。 * **企业级 Kafka 体验：** 学员将体验搭建和配置全托管的 Confluent Kafka 集群、创建消息主题以及使用全托管的 Source Connector 进行数据注入，直接接触企业级的 Kafka 基础设施。 * **实战技能：** 课程结束后，学员将拥有一个可扩展的、运行中的数据管道，掌握云原生架构知识，获得可直接应用于实际项目或职业岗位的动手能力。 **适合人群：** * 初级云工程师 * 中级数据工程师 * 产品负责人 * 产品经理 * Scrum Master * 技术领导者 **课程目标：** 帮助学员掌握构建实时流式数据管道的关键技术和工具，理解云端架构设计，并获得宝贵的实战经验。
In this hands-on course, participants will follow along step-by-step to build a real-time streaming data pipeline that sends data from Confluent Kafka to AWS Lambda and finally into an AWS RDS MySQL Database. This course is designed to provide practical, real-world skills by walking through each component of the architecture, ensuring that learners not only understand the concepts but also apply them directly in a cloud environment.On the AWS side, participants will gain experience working with several important services, including AWS IAM for securing resources, AWS Secrets Manager for managing sensitive credentials, and AWS CloudWatch for monitoring and logging the data pipeline in action. These services are essential for building secure, scalable, and reliable applications in the cloud.On the Confluent Kafka side, learners will set up a fully managed Kafka cluster, create topics for message streaming, and configure a fully managed Source Connector to simulate real-world data ingestion. This gives participants valuable exposure to enterprise-grade Kafka infrastructure without the overhead of managing the platform themselves.By the end of this course, participants will have built a working, scalable pipeline, gained insights into cloud-native architectures, and acquired hands-on experience that can be directly applied to real-world projects or professional roles.This course is suitable for budding Cloud Engineers, mid level Data Engineers, Product Owners, Product Mangers, Scrum Masters and Technology Leaders looking to get a hands-on experience of building a Real time Streaming Data Pipeline.
