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所在平台: Udemy |
课程主页: https://www.udemy.com/course/modern-data-warehouse-concepts/
课程评论：没有评论
**课程名称：现代数据仓库概念** **课程概述：** 本课程旨在帮助学员了解现代数据仓库的基础知识，以及如何结合大数据技术、数据湖和数据可视化，将传统数据仓库进行升级和转型。现代数据仓库能够提供更大的灵活性，允许我们使用熟悉的工具、技术和概念（如大数据、Hadoop、云生态系统、BI工具以及SQL/NoSQL）以所需的格式分析所需的数据。 现代数据仓库能够处理各种数据格式，包括半结构化、非结构化和多结构化数据。这些数据集格式多样，并且生成于非交易系统，例如机器、传感器和客户互动流。这些系统不仅数据来源广泛，而且产生数据的数量、种类和速度都达到了前所未有的水平。虽然多结构化数据并非新鲜事物，但由于存储成本高昂且在传统数据仓库的架构或模型中难以连接和关联，因此此前只有少数组织能够有效处理。 **教学目标：** * 掌握现代数据仓库的核心概念。 * 理解传统数据仓库的局限性。 * 学习如何利用大数据技术、数据湖和数据可视化来构建现代数据仓库。 * 熟悉处理不同数据格式（半结构化、非结构化、多结构化）的方法。 * 了解现代数据仓库在应对海量、多样、高速数据时的优势。 * 掌握利用云生态系统、BI工具和SQL/NoSQL进行数据分析的策略。
The objective of this course is to learn/know the fundamentals of the Modern Data Warehouse and what strategies can be used move from a traditional Data Warehouse in combination of Big Data Technologies, Data Lakes and Data Visualization. A Modern Data Warehouse gives us flexibility to analyze the data we need, in the format we need it by using familiar tools , technologies, concepts like Big Data, Hadoop, Cloud Ecosystems, BI tools and SQL/NoSQL. A Modern Data Warehouse will be able to consume and process variety of data formats like the semi structured, unstructured and multi structured. These data sets come in multiple formats and are generated from a non-transactional systems such as machines, sensors, and customer interaction streams. These systems are not only varied but also, they're producing data at volumes, varieties, and velocities like we've never seen before. This kind of data is not new. We've actually had multi-structured data for a long time, but very few organizations could work with it before because it is so expensive to store and so hard to connect or link them using the traditional data warehouse architectures or models.
