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所在平台: Udemy |
课程主页: https://www.udemy.com/course/learn-apache-spark-and-scala-from-scratch/
课程评论：没有评论
**课程名称：** 从零开始学习 Apache Spark 和 Scala **课程概述：** 本课程旨在帮助学员深入掌握大数据 Hadoop 生态系统，并培养成为顶尖大数据 Hadoop 开发专家的标准技能。Apache Spark 作为一个极速的集群计算框架，设计用于高效的数据处理。 **课程内容亮点：** * **MapReduce 的局限性及 Spark 的解决方案：** 深入分析传统 MapReduce 的不足，并阐述 Spark 如何有效地克服这些挑战。 * **Scala 编程语言深度解析：** 提供对 Scala 编程语言的深入学习，为 Spark 开发打下坚实基础。 * **Spark 独立集群与 RDD（弹性分布式数据集）：** 讲解 Spark 作为独立集群的运行机制，以及对 RDD 核心概念的理解。 * **Spark SQL：** 涵盖通过 SQL Context 和 Hive Context 执行 SQL 查询和 Hive 查询，实现结构化数据分析。 **目标学员：** 本课程特别适合有志于在大数据领域发展，并希望成为 Spark 开发者的专业人士。此外，对于现有的大数据 Hadoop 开发人员、BIg data Hadoop 架构师、分析专业人员以及 ETL 开发人员而言，本课程也将提供宝贵的知识和技能。 **先修知识：** 在学习本课程之前，建议您已具备以下知识： * Scala 编程基础 * 数据库概念 * Linux 操作系统基础
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.Apache Spark is a lightning-fast cluster computing designed for fast computation.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.This course has been prepared for professionals aspiring to learn the basics of Big Data Analytics using Spark Framework and become a Spark Developer. In addition, it would be useful for Analytics Professionals and ETL developers as well.Before you start proceeding with this course, we assume that you have prior exposure to Scala programming, database concepts, and any of the Linux operating system flavors.
