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所在平台: Udemy |
课程主页: https://www.udemy.com/course/apache-kafka-spark-cassandra-real-time-streaming-project/
课程评论：没有评论
**课程名称：** Apache Kafka - Spark - Cassandra 实时流处理项目 **课程概述：** 本课程旨在提供对使用 Kafka、Spark 和 Cassandra 进行实时大数据处理的全面理解。在当今世界，数据以前所未有的速度产生，实时处理和分析这些数据的能力对于做出明智的决策至关重要。本课程重点介绍 Kafka、Spark 和 Cassandra 的基本概念和架构，以及它们如何协同工作以创建强大的大数据处理管道。 学员将学习如何设置 Kafka 集群，并使用 Kafka 生产者和消费者。学员还将学习 Kafka Streams，这是一个用于构建直接在 Kafka 中处理数据的实时流应用程序的客户端库。 在整个课程中，学员将通过模拟真实场景的实践练习和项目获得动手经验。到课程结束时，学员将理解如何使用 Kafka、Spark 和 Cassandra 构建实时大数据处理系统。 **课程目标：** * 理解实时大数据处理的基本概念。 * 学习 Kafka、Spark 和 Cassandra 的架构设置。 * 了解 Kafka、Spark 和 Cassandra 如何协同工作以创建实时大数据处理管道。 * 通过实践练习和项目获得 Kafka、Spark 和 Cassandra 的动手经验。 * 学习如何从头开始构建实时大数据处理管道。 **目标学员：** 本课程面向具有基本编程概念知识并熟悉 SQL 的软件工程师、数据工程师和数据分析师。
The course is designed to provide a comprehensive understanding of real-time big data processing using Kafka, Spark, and Cassandra. In today's world, data is produced at an unprecedented rate, and the ability to process and analyze this data in real-time is critical for making informed decisions. This course focuses on the fundamental concepts and architecture of Kafka, Spark, and Cassandra, and how they work together to create a robust big data processing pipeline.Students will learn how to set up Kafka clusters and work with Kafka producers and consumers. Students will also learn about Kafka Streams, a client library for building real-time streaming applications that process data directly within Kafka.Throughout the course, students will gain hands-on experience through practical exercises and projects that simulate real-world scenarios. By the end of the course, students will have a understanding of how to use Kafka, Spark, and Cassandra to build real-time big data processing systems.Course Objectives:Understand the fundamental concepts of real-time big data processingLearn the architecture setup of Kafka, Spark, and CassandraUnderstand how Kafka, Spark, and Cassandra work together to create a real-time big data processing pipelineGain hands-on experience with Kafka, Spark, and Cassandra through practical exercises and projectsLearn how to build a real-time big data processing pipeline from scratchThis course is intended for software engineers, data engineers, and data analysts who have a basic understanding of programming concepts and are familiar with SQL.
