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所在平台: Udemy |
课程主页: https://www.udemy.com/course/cca175-spark-hadoop-developer-exam-practice-sets/
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**Coursera 课程总结：CCA175 Spark & Hadoop Developer 考试练习集** 本课程是一套非官方的 CCA175 Spark & Hadoop Developer 考试练习集，旨在帮助学员准备 Cloudera CCA175 认证考试。课程内容全部由讲师个人经验创作，与 Cloudera 或任何组织无关。 **核心内容：** * **考试模拟：** 课程提供基于场景的练习题，模拟真实考试环境，每组练习都设有时间限制。 * **环境准备：** 学员需自行准备安装了 Spark 2.4 或更高版本的 Cloudera Quick Start VM。 * **数据准备：** 每组练习开始时会提供输入数据准备说明。 * **详尽解答：** 所有问题都附有详细的步骤解析，并指导如何验证结果，确保满足输出要求。 * **全面覆盖：** 练习集设计精巧，全面覆盖了最新 CCA175 考试课程大纲中的关键主题。 **课程涵盖的关键主题：** * **数据转换、暂存与存储：** * 将 HDFS 中的数据按指定格式转换为新的数据值或新格式，并写回 HDFS。 * 在 Spark 应用中加载 HDFS 数据。 * 使用 Spark 将结果写回 HDFS。 * 读写多种文件格式。 * 使用 Spark API 执行标准的 ETL 过程。 * **数据分析：** * 使用 Spark SQL 以编程方式与元数据存储交互。 * 通过查询加载的数据生成报告。 * 使用元数据表作为 Spark 应用的输入源或输出目标。 * 理解 Spark 数据集查询基础。 * 使用 Spark 过滤数据。 * 编写计算聚合统计信息的查询。 * 使用 Spark 连接不同的数据集。 * 生成排名或排序数据。 **课程目标：** 本课程旨在通过丰富的练习和详细的讲解，显著提升学员的自信心，帮助学员无畏地参加 CCA175 考试。
Note: This course is personally designed from my own experience and has no affiliation with any person or organization. This practice course and its videos, documents and other associated content has been produced by myself. This is an unofficial content and has no relation with Cloudera or anyone else. Content in this practice sets are solely meant to help student and build confidence for the real Cloudera CCA175 Spark & Hadoop Developer Exam.Course Descriptions:This course is designed for Cloudera CCA175 Spark & Hadoop Developer Exam practice. To practice this sets all you need is Cloudera Quick Start VM with Spark 2.4 or higher installed. This practice course has scenario based problems, the way you might expect to see in real exam. Each set has time clock. At the beginning of each sets you're given instructions how to prepare the input data for all the problems that you'll be solving. You're given expected sample output, wherever possible. All problems are explained with step by step solutions and guided you how you should validate the results to make sure you answered the problem covering the output requirements. Each practice sets are thoughtfully designed to cover what you might encounter in real exam. This course will surely boost your confidence and help you appear for the exam without fear. In each practice sets I've covered all below topics of the latest CCA175 exam curriculum.Transform, Stage, and StoreConvert a set of data values in a given format stored in HDFS into new data values or a new data format and write them into HDFS.Load data from HDFS for use in Spark applicationsWrite the results back into HDFS using SparkRead and write files in a variety of file formatsPerform standard extract, transform, load (ETL) processes on data using the Spark APIData AnalysisUse Spark SQL to interact with the metastore programmatically. Generate reports by using queries against loaded data.Use metastore tables as an input source or an output sink for Spark applicationsUnderstand the fundamentals of querying datasets in SparkFilter data using SparkWrite queries that calculate aggregate statisticsJoin disparate datasets using SparkProduce ranked or sorted data
