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所在平台: Udemy |
课程主页: https://www.udemy.com/course/introduction-to-data-analytics-on-microsoft-azure-cloud/
课程评论：没有评论
**课程名称：** Microsoft Azure 云数据分析导论 **课程概述：** 本课程专为初学者设计，旨在介绍 Microsoft Azure 云平台及其在数据分析中的应用。Azure 作为业界最受欢迎的公共云之一，吸引着众多企业迁移。掌握 Azure 云服务能力，对于开发者、架构师和 IT 管理员而言至关重要。 课程首先阐述云计算的基本概念，然后深入讲解数据分析的核心要点。课程的实践环节将是重点，涵盖导入数据集以及进行广泛的数据分析操作。 在**ETL（提取、转换、加载）**方面，课程将使用 **Azure Data Factory**。数据分析工具则选用 **Power BI**。 **实验部分** 将详细覆盖以下 Azure 服务： * Azure SQL 数据库 * Azure Synapse Analytics * Azure Stream Analytics * Azure Data Factory * Power BI 课程将全面指导学员完成数据集的导入、加载、执行强大的 SQL 查询，并利用这些查询和 Power BI 的可视化工具进行深入的数据分析。 通过本课程的学习，学员将获得宝贵的 Azure 云服务实践经验，从而在就业市场上脱颖而出，为成功的事业奠定坚实基础。
Microsoft Azure is one of the most popular public clouds in the industry. Nearly all of the Fortune 100 companies are moving to the cloud, and being able to work with it is one of the most important skills for every developer, architect, or IT admin.This course is designed for the students who are at their initial stage or at the beginner level in learning data analytics, cloud computing data visualization and Analytics using the Microsoft Azure Cloud Services.This course focuses on what cloud computing is, followed by some essential concepts of data analytics. It also has practical hands-on lab exercises which covers a major portion of importing and performing some Analytics on the datasets.The ETL tool used is Azure Data factory and analytics is performed using a visual tool known as Power BI. The lab portion covers all the essentials of the Azure SQL Databases, Azure Synapse Analytics, Azure Stream Analytics, Azure Data Factory and Power BI. Starting from importing the datasets, loading it, performing powerful SQL queries and then analyzing the same data using the queries and visual graphical tools are all covered in great detail.Again experience with Cloud Azure services taught in this course will give you an edge in the job market and will position you for a successful career.
