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所在平台: Udemy |
课程主页: https://www.udemy.com/course/flink-streaming-python-handson/
课程评论：没有评论
课程名称：Apache Flink与Kafka端到端流式项目实操 课程概述：这是全球唯一更新的“Apache Flink”实操课程！本课程注重实践，而非理论，涵盖完整的实际项目。告别寻找代码片段或过时示例的烦恼！我们的课程确保您拥有成功所需的一切。我们相信动手学习的力量，因此我们提供全面的实践课，配有代码示例和实例。特别是对于非Python开发者，我们逐行解释所有Flink和Kafka的Python代码，使得即使是非技术人员也能理解。 本课程“构建端到端流式管道：Python大数据实操”的设计旨在帮助数据工程师、Python开发者和大数据爱好者，带您踏上掌握流式数据管道构建的实践之旅。通过动手练习和真实的案例，您将深入理解流式数据处理概念、Python在大数据中的应用，以及Kafka、PyFlink、Elasticsearch、Kibana和Pydoop（HDFS）等重要工具。 从数据输入到变换，从实时处理到存储，本课程涵盖所有内容，让您能够构建可扩展且高效的流式管道。课程的独特之处在于其实操重点。您将深入实际实现，学习如何从Kafka主题中消费数据，使用Python进行处理，并通过Pydoop将其存储在Hadoop分布式文件系统（HDFS）中。您将获得处理实时数据、应对大数据挑战和设计端到端流式管道以提供可操作性洞察的宝贵经验。 无论您是希望提升技能的资深数据工程师，还是踏入大数据领域的Python开发者，本课程都提供了适合初学者的逐步指导。这是一次完整的大数据流式实践体验，您将学会从零开始使用Python构建一个强大端到端的流处理管道，涉及Flink（PyFlink）、Kafka、Hadoop HDFS、Elasticsearch和Kibana等技术。欢迎今天加入我们，开启成为熟练的端到端流式管道构建者的转型之旅！
This is the only updated Handson "Apache Flink" Course in the World!This is a practical Apache Flink Handson Course (not thorical) with complete real world end-to-end projectSay goodbye to the frustration of searching for code snippets or outdated examples!Our course ensures you have everything you need to succeed. We believe in the power of hands-on learning, and that's why we provide you with comprehensive handson with code samples and examples.NB: This is not a theorical course, It's a practical big data hands on courseFor Non-Python developer's help, All Flink & Kakfa Python codes are explained line by line in such a way that even a non -technical person can understand.Unlock the power of real-time data processing and revolutionize your data engineering skills with our comprehensive practical course, "Build End-to-End Streaming Pipeline: Python Big Data Hands-On." Designed for data engineers, Python developers, and big data enthusiasts, this course takes you on a practical journey to master the art of building streaming data pipelines using Python.Through hands-on exercises and real-world examples, you'll gain a solid understanding of streaming data processing concepts, Python programming for big data, and essential tools like Kafka, PyFlink, Elasticsearch, Kibana, and Pydoop (HDFS).From data ingestion to transformation, real-time processing to storage, this course covers it all, empowering you to build scalable and efficient streaming pipelines.What sets this course apart is its practical focus. You'll dive into actual implementation, learning how to consume data from Kafka topics, process it using Python, and store it in Hadoop Distributed File System (HDFS) using Pydoop. Gain invaluable experience in working with real-time data, handling big data challenges, and designing end-to-end streaming pipelines that deliver actionable insights.Whether you're a seasoned data engineer looking to enhance your skills or a Python developer venturing into the world of big data, this course offers a beginner-friendly approach with step-by-step instructionsThis is complete Big Data Streaming hands-on experience where you'll learn to build an end-to-end stream processing pipeline from scratch using Python., we'll build a powerful end-to-end stream processing pipeline using Flink (PyFlink), kafka , Hadoop HDFS, Elasticsearch, and Kibana!Join us today and embark on a transformative journey to become a proficient builder of end-to-end streaming pipelines using Python Kafka, Flink (PyFlink), HDFS (pydoop) , Kibana and more +
