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所在平台: Udemy |
课程主页: https://www.udemy.com/course/data-warehousing-practice-exams-for-interviews/
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**课程名称：** 数据仓库面试实践考试 **课程概述：** 本课程提供一系列高质量的实践考试，旨在帮助您为数据仓库相关的面试做好准备，并提升您的专业技能。这些考试涵盖了数据仓库、数据建模以及其他相关概念。 **课程亮点：** * **考试内容丰富：** 共包含 6 套独立的限时考试，每套考试包含 40 道题目，总计 240 道题目。 * **详细的解析：** 每套考试后都附带详细的解析，帮助您深入理解相关概念。解析内容包括主题概述、选项正确或错误的理由。 * **随时随地学习：** 移动设备兼容，方便您随时随地通过智能手机进行复习。 * **无限次重考：** 您可以不限次数地重考考试，以巩固所学知识。 * **原创题库：** 拥有庞大的原创题库，提供真实检验。 * **讲师支持：** 如遇问题，您可以获得讲师的支持。 * **退款保障：** 提供 30 天的退款保证，如果您对课程不满意。 **课程重点涵盖主题：** * 数据仓库的基础概念和原理 * 数据集市 (Datamarts) * 维度分析和建模基础 * 变更数据捕获 (Change Data Capture) * 数据仓库的 ETL 策略 * 三层数据仓库架构 * OLTP、OLAP 及其类型 * 操作数据存储 (ODS)、数据集市 (Data Marts) * 事实 (Facts)、维度 (Dimensions)、缓慢变化维度 (SCD) * 事实和维度的类型 * Ralph Kimball 方法论 * 星型模式 (Star Schema) * 雪花模式 (Snow Flake Schema) * 事实星座模式 (Fact Constellation Schema) * 总线架构 (Bus Architecture) * Bill Inmon 方法论 * 范式 (Normal Forms) * 数据库键的类型 * 关系型数据库管理系统 (RDBMS) 基础和键的类型 * 维度建模
Welcome to the best practice tests to help you prepare for your interviews/improve your skillset on Data Warehousing and other concepts. These Practice tests are designed to test your knowledge on Data Warehousing and Data Modelling along with other related topics.Contain 6 separate timed tests of 40 questions each. 240 questions total.- Each question has detailed explanations at the end of each set that will help you gain a deeper understanding of the concepts.- The explanation provides an overview of the topic, rationale on why the option is correct or incorrect- MOBILE-COMPATIBLE - so you can conveniently review everywhere, anytime with your smartphone!You can retake the exams as many times as you wantThis is a huge original question bankYou get support from instructors if you have questionsEach question has a detailed explanation30-days money-back guarantee if you're not satisfiedSpecifically, these practice tests will cover the following topics:Foundational data warehousing concepts and fundamentalsDatamartsThe fundamentals of dimensional analysis and modelingChange Data CaptureETL Strategies with respect to Data Warehousing3 tier Data Warehouse ArchitectureOLTP ,OLAP and its typesODS, Data MartsFacts, Dimensions, SCDTypes of facts and dimensionsRalph Kimball MethodologyStar SchemaSnow Flake schemaFact Constellation SchemaBus ArchitectureBill Inmon MethodologyNormal FormsTypes of Database KeysBasics of RDBMS and types of keysDimensional Modelling
