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所在平台: Udemy |
课程主页: https://www.udemy.com/course/cca-175-spark-and-hadoop-developer-certification/
课程评论：没有评论
Course Name: CCA 175 Spark and Hadoop Developer Certification - Scala Course Summary: 本课程“CCA175 Spark and Hadoop Developer Certification - Scala” 旨在帮助学员有效备考 Cloudera CCA 175 认证考试。该考试是一项远程监考考试，考生需要在规定时间内解决具体的数据处理场景，可能涉及 Hive、Impala 等工具，也可能需要编写代码。 课程内容涵盖： * **课程介绍与准备**: 讲解课程目标、先决条件，并介绍用于实践的数据集 RETAIL_DB。 * **Google Cloud 集群搭建**: 指导学员在 Google Cloud 上设置集群，创建存储桶并准备实践数据。 * **Hive 数据设置**: 演示如何在 Google Cloud 上的 Hive 中设置数据。 * **Apache Spark 基础**: 介绍 Spark 框架，理解 RDD（弹性分布式数据集）、Transform、Stage 和 Store 的概念。 * **Spark DataFrames**: 深入学习 DataFrame 抽象，包括如何处理 CSV、JSON、Parquet 和 AVRO 数据，以及在 DataFrame 中操作列、日期和字符串。 * **Hive Metastore 交互**: 讲解如何与 Hive Metastore 进行交互。 * **真实考试场景演练**: 提供 20 个真实的 CCA 175 考试场景，帮助学员熟悉考试形式，提升实战能力和应试信心。 本课程将显著增强学员的信心，使其能够自信地迎接 CCA 175 认证考试。 祝各位学习愉快！
Course DescriptionHello Learners. Welcome to the course "CCA175 Spark and Hadoop developer certification course". This course is for anyone who wants to appear for CCA175 Hadoop and Spark Developer Certification.This course will help the learners to prepare for the main certification exam. This course will boost your confidence to appear for certification and also provides you with sample scenarios so that you are well equipped before appearing for the exam.CCA175 is a remote-proctored exam available anywhere, anytime. CCA 175 certification exam questions requires you to solve a particular scenario. In some cases, a tool such as Impala or Hive may be used. In other cases, coding is required.In this course you will learn:IntroductionIntroduction to coursePrerequisitesUnderstanding the dataset RETAIL_DBCluster Setup on Google CloudBucket creation and practice data setup on GCP clusterData setup on Hive in Google CloudLet's warm upIntroduction to Apache Spark frameworkUnderstanding Resilient Distributed Datasets (RDD)Transform, Stage and StoreUnderstanding DataFrame abstraction in SparkWorking with CSV data in SparkWorking with JSON data in SparkWorking with Parquet file format in SparkWorking With Hive MetastoreWorking with AVRO data in SparkWorking with DataFrame Columns in SparkManipulating Dates in DataFrame in SparkManipulating String in DataFrame in SparkLets prepare for the Real exam20 Real time CCA 175 exam scenariosThis course will definitely boost your confidence if you are appearing for the certification.Happy Learning!!!Proedu Organization.
