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所在平台: Udemy |
课程主页: https://www.udemy.com/course/working-with-apache-spark/
课程评论：没有评论
课程名称：使用Apache Spark（2023年8月） 课程概述：在本课程中，您将深入学习Apache Spark及其特性。课程将深入探讨Apache Spark的功能，包括弹性分布式数据集（RDD）、转换、动作、惰性执行、数据框（DataFrames）、数据集（DataSets）、Spark SQL、Spark流（Spark Streaming）、PySpark、Sparklyr和Spark作业。您将学习如何创建Spark RDD，并对其进行各种转换操作以及执行动作。课程还说明了RDD、DataFrame和DataSet之间的区别，并通过示例进行讲解。此外，您将了解Spark SQL的功能并使用不同上下文执行数据库查询。 课程中还将探索Spark流以及Kafka，包含在Kafka主题上生成和消费消息的示例。虽然课程主要使用Scala编写Spark程序，但PySpark也有讨论并提供了相关编程示例。同时，课程还涉及R编程中的Sparklyr包的使用。最后，课程将教授如何调度和执行Spark作业。该课程涵盖了关于Apache Spark所需的所有知识，重点是活动课程和实践经验。 赶快报名吧，抓住每一个学习的机会！
In this Course, you will Learn in detail about Apache Spark and its Features. This is course deep dives into Features of Apache Spark, RDDs, Transformation, Actions, Lazy Execution, Data Frames, DataSets, Spark SQL, Spark Streaming, PySpark, Sparklyr and Spark Jobs.You will explore creating Spark RDD and performing various transformation operations on RDDs along with actions. This Course also illustrates the difference between RDD, DataFrame and DataSet with examples. You will also explore features of Spark SQL and execute database queries using various contexts.In this course, you will also explore Spark Streaming along with Kafka. The Spark Streaming examples includes producing and consuming messages on a Kafka Topic. Spark program is basically coded using Scala in this course, but PySpark is also discussed, programming examples using PySpark is also included.Usage of Sparklyr package in R Programming is included in the Course. Finally, the course includes how to schedule and execute Spark Jobs.The course teaches you everything you need to know about Apache Spark.This course gives details about Working with Apache Spark with an emphasis on its activity lessons and hands on experience.What are you waiting for?Every day is a missed opportunity.Enroll No!Hurry up!
