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所在平台: Udemy |
课程主页: https://www.udemy.com/course/microsoft-fabric-a-deeper-dive/
课程评论：没有评论
**课程名称：** Microsoft Fabric - 深度解析 **课程概述：** 本课程将对 Microsoft Fabric 进行更深入的探讨，超越了初级课程的内容。课程内容涵盖数据工程、数据科学、数据仓库、Spark、Power BI (DirectLake 和 Semantic Link) 等核心领域，并提供端到端的案例研究和示例。 **核心内容亮点：** * **Power BI 开发者：** 深入解析 DirectLake，通过大型数据集（1.7 亿行事实表）展示其性能堪比表格导入模式。同时，学习 Semantic Link，实现 Spark Notebook 与 Power BI 数据集的交互。 * **数据工程师：** 通过端到端的项目，学习如何利用 Dataflows Gen2 和 Data Factory 的复制活动及管道构建数据摄取流程。 * **数据科学家：** 参与一个端到端的机器学习项目，演示如何使用 Fabric 和 Notebook 预测纽约市出租车行程时间。 * **实时分析与 KQL：** 通过一个项目，模拟出租车数据使用事件流和 KQL 进行实时摄取和分析。 * **数据仓库：** 学习如何在 Microsoft Fabric 中构建数据仓库，提供端到端的项目指导。 * **Apache Spark：** 重点介绍 Spark 的关键功能及其在 Microsoft Fabric 中的集成。 **学习目标：** 完成本课程（超过 10 小时）后，学员将能够熟练运用 Microsoft Fabric 中最常用的各项功能。
A deeper dive into what you might ask? A deeper dive than what our initial Microsoft Fabric course covers. We go more deeply into data engineering, data science, data warehousing, Spark, Power BI with DirectLake, Power BI with Semantic Link with end-to-end examples and studies. If you are a Power BI developer, you will love our deep dive into DirectLake where we use a 170 million row fact table to show that DirectLake is every bit as fast as tabular import mode. Hard to believe but true. We also cover Semantic Link with Power BI allowing Spark notebooks to interact with Power BI datasets.If data engineering is your specialty we go through and end-to-end project demonstrating how to use Dataflows Gen2 and Data Factory Copy Activity, with pipelines to build an ingestion process.If your interest is data science we go through an end-to-end machine learning project to demonstrate how Fabric and notebooks can be used or predict how long a taxi ride might take in New York City.If you have a need to learn more about real-time analytics and KQL, we go through a project where we simulate taxi data being ingested using event streams and KQL.If you are interested in building a data warehouse, we have an end-to-end data warehouse project showing how this can be done in Microsoft Fabric.Interested in Apache Spark? We cover the important areas of Spark and how it integrates into Microsoft Fabric.By the time you complete this 10+ hour course you will feel completely comfortable using all the most commonly used experiences in Microsoft Fabric.
