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所在平台: Udemy |
课程主页: https://www.udemy.com/course/introduction-to-data-warehouse-h/
课程评论：没有评论
**课程名称：** 数据仓库入门 **课程概述：** 本课程旨在介绍数据仓库的概念、需求、历史以及在现代商业分析中的重要作用。数据仓库是一个专门为数据分析和报告设计的数据库，它作为企业所有数据的中央存储库，为用户提供洞察、监控业务表现并支持决策。课程将深入探讨数据仓库如何通过高效的数据存储和快速的查询响应来赋能报表、仪表盘和分析工具，满足大量并发用户的使用需求。 **核心内容：** * **数据仓库定义与必要性：** 明确数据仓库的本质，以及为何它是保持企业竞争力的关键。 * **数据仓库历史：** 回顾数据仓库的发展历程。 * **OLTP与OLAP：** 区分在线事务处理（OLTP）和在线分析处理（OLAP）的区别与联系。 * **ETL（提取、转换、加载）：** 详细讲解ETL过程，包括数据的提取、转换（各种转换类型）和加载。 * **数据仓库架构：** 介绍不同层次和层级的数据仓库架构。 * **数据仓库的组织结构：** 了解数据仓库的数据库、表、列、模式（schema）等组织方式。 * **数据仓库中的存储：** 学习维度表和事实表，并通过示例理解其概念。 * **数据仓库模式：** 掌握数据仓库的各种模式类型。 * **慢变维度（Slowly Changing Dimensions）：** 介绍慢变维度的概念及其不同类型。 * **ETL与报表工具：** 了解常用的ETL工具和报表工具。 **课程特色：** * **理论与实践结合：** 课程内容包含2小时以上的点播视频，并以实例辅助讲解，确保概念易于理解。 * **循序渐进的学习路径：** 从基础知识到高级主题，逐步深入，帮助学习者全面掌握数据仓库。 * **社区支持：** 通过社区平台提供答疑解惑，确保学习过程中的问题得到及时解决。 **本课程将帮助您：** * 理解数据仓库的核心概念和功能。 * 掌握构建和管理数据仓库的关键技术。 * 学会利用 ETL 工具和报表工具进行数据分析。 * 提升利用数据驱动业务决策的能力。
A Data warehouse is a database that is used for data analysis and reporting. It is a central repository for all the data that is needed for reporting and analysis. Data and analytics have become indispensable to businesses to stay competitive. Business users rely on reports, dashboards, and analytics tools to extract insights from their data, monitor business performance, and support decision making. Data warehouses power these reports, dashboards, and analytics tools by storing data efficiently to minimize the input and output (I/O) of data and deliver query results quickly to hundreds and thousands of users concurrently. A data warehouse may contain multiple databases. Within each database, data is organized into tables and columns. Within each column, you can define a description of the data, such as integer, data field, or string. Tables can be organized inside of schemas, which you can think of as folders. When data is ingested, it is stored in various tables described by the schema. Query tools use the schema to determine which data tables to access and analyze.A data warehouse is specially designed for data analytics, which involves reading large amounts of data to understand relationships and trends across the data. A database is used to capture and store data, such as recording details of a transaction.The course is a right blend of concepts with right examples for making the topics easier which includes 2+ hours of on demand videosClarifications through community Understand everything step by step from the absolute basics to the advanced topicsHere is what you'll learn:What is a Data Warehouse?What is the need for Data Warehouse?History of Data WarehouseOLTP & OLAPIntroduction to ETLExtraction, Transformation and Load data in ETLTypes of TransformationData Warehouse ArchitectureData Warehouse Architectures based on layers and TiresData MartStoring Data in Data WarehouseDimension Tables and Fact TablesDimension and Fact table with ExampleData Warehouse Schema and TypesSlowly Changing Dimensions Introduction and TypesETL ToolsScheduling the ToolsReporting Tools
