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所在平台: Udemy |
课程主页: https://www.udemy.com/course/microsoft-fabric-quickstart-from-data-to-report/
课程评论：没有评论
**Coursera 课程总结：Microsoft Fabric：快速入门与深度解析** 本课程是一门动手实践型的技术课程，旨在帮助您快速掌握 Microsoft Fabric 的使用，并在数小时内即可上手。 **核心内容：** * **快速入门：** * 数据加载与环境搭建 * 数据转换与模型关系建立 * 连接 Power BI 报表以分析和共享数据洞察 * 数据刷新自动化选项（调度数据刷新） * **深度解析：** * 深入了解 Fabric 的不同组成部分，包括 Lakehouses 和 Data Warehouses。 * **注重整体性：** 与其他课程不同，本课程不会孤立讲解 Fabric 的各个组件，而是着重于如何将它们整合成一个高效的整体，以实现数据共享和价值最大化。 * **关键术语概述：** 解释 Microsoft Fabric 的核心概念，如 OneLake 和 Delta tables，以及它们如何协同工作。 * **多样化的技术栈：** 介绍 Fabric 支持的编码选项，包括 Apache Spark 和 T-SQL，同时涵盖无代码工具，如 Dataflows Gen(2) 和 Data Pipelines。 **课程目标：** * 让学员在短时间内掌握 Microsoft Fabric 的基本操作。 * 引导学员深入理解 Fabric 的工作原理和核心概念。 * 教授如何有效地整合 Fabric 组件，并通过 Power BI 实现数据的价值化。 * 强调数据驱动决策和组织内部高效的数据共享。
This hands on technical course starts with quick start sections to get you up and running in Fabric in just a few hours. These sections show you how to load your data into the environment, have the ability to transform your data and model data relationships. We'll then go on to connect that data to a Power BI report so you can share insights with your stakeholders and support your organisation leveraging the value of it's data. Finally we'll look at some different options of how to schedule data refreshes so you can automate processes and save valuable time.Following the quick start sections you will then get the opportunity to deepen you knowledge of different areas of Fabric including Lakehouses and Data Warehouses.This course differs from other courses in that we won't be looking at MS Fabric in terms of lots of individual elements leaving you to figure out how to piece it all together so that you can make it work for you. We all know that we are aiming to share our data with people in our organisations in the most efficient way and that is at the heart of this course.The course also includes an overview of key terms within Microsoft Fabric to ensure you understand the overarching landscape. In addition to understanding the individual experiences we'll also cover concepts like OneLake and Delta tables so you can see how it all works together. You'll also learn about how the platform uses coding options like Apache Spark and T-SQL as well as having the option to use no-code tools like Dataflows Gen(2) and Data Pipelines.
