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所在平台: Udemy |
课程主页: https://www.udemy.com/course/apache-spark-and-scala/
课程评论：没有评论
Coursera 课程：Apache Spark 和 Scala 本课程深入探讨大数据 Hadoop 生态系统，旨在提供高级专业知识，帮助您成为顶尖的大数据 Hadoop 开发专家。 课程内容涵盖： * **MapReduce 的局限性及 Spark 的优势：** 详细讲解传统 MapReduce 的不足，以及 Spark 如何有效解决这些问题。 * **Scala 编程语言深度解析：** 全面深入地学习 Scala 语言，为 Spark 开发打下坚实基础。 * **Spark 独立集群与 RDD：** 理解 Spark 作为独立集群的运作方式，以及韧性分布式数据集（RDD）的核心概念。 * **Spark SQL：** 通过 SQL Context 和 Hive Context，掌握使用 SQL 查询和 Hive 查询进行数据分析。 本课程将为您在大数据领域构建职业生涯提供必备技能，帮助您从大数据 Hadoop 开发人员迈向大数据 Hadoop 架构师。
This course on Apache Spark and Scala aims at providing an advanced expertise in big data Hadoop ecosystem. This course will provide a standard skillset which helps one become a specialist on the top of Big data Hadoop developer. The course starts with a detailed description on limitations of mapreduce and how Spark can help overcome them. Further it covers a deeper dive into the Scala programming language.Moving on it covers Spark as a standalone cluster and an understanding of Resiliient Distributed Datasets. The course also covers concepts of Spark SQL using SQL queries through SQL context and Hive Queries through Hive context.This course certainly provides material required for building a career path from Big data Hadoop developer to BIg data Hadoop architect.
