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所在平台: Udemy |
课程主页: https://www.udemy.com/course/microsoft-fabric-k/
课程评论：没有评论
课程名称：Microsoft Fabric 课程概述：在这门为期12小时的课程中，您将学习Microsoft Fabric，这是一个统一的平台，旨在满足组织的数据和分析需求。您将探索Fabric的能力，了解其工作原理，并学习如何使用它构建端到端的数据分析解决方案。 课程内容涵盖多个Fabric体验，包括： - **OneLake**：OneLake的概念是将所有数据统一到一个单一的存储库中，无论其来源或格式如何。这简化了数据管理并促进了跨数据的分析。 - **Lakehouses**：Lakehouses是一种新的数据存储类型，结合了数据湖和数据仓库的优点。它们提供数据湖的可扩展性和灵活性，同时也具备数据仓库的性能、结构和治理。 - **数据仓库**：一种数据库系统，存储在OneLake中的数据，并提供使用SQL命令或其他计算引擎与数据库交互的介质。 - **直接湖（Direct Lake）**：这是Power BI的一项新功能，提供了导入模式的所有优点和性能，且不需要实际将任何数据导入数据模型中。 - **数据工厂（Data Factory）**：数据工厂是Fabric的一项服务，帮助您自动化数据提取、转换和加载的过程。数据工厂可用于构建处理来自Fabric内外多个数据源的数据管道。 - **数据流2（Dataflows Gen2）**: 在Power Query Online之上构建的新版本数据流，提供了许多新功能和对数据流Gen1的改进。 - **增量更新的Delta Parquet文件**：这是一种新型Parquet文件，支持增量更新，适合用于流式数据或经常更新的数据湖。 - **快捷方式**：Azure数据工厂的新功能，使得重用数据管道更为简便，能够创建数据管道的可重用引用。 本课程适合数据分析师、数据科学家、数据工程师、Power BI开发人员以及希望学习如何使用Microsoft Fabric构建端到端数据分析解决方案的其他专业人士。无需具备Fabric的前期经验。通过本课程，您将学习到数据分析技术的最新进展，并获得在Microsoft Fabric中构建端到端数据分析解决方案所需的技能。
Microsoft Fabric: The Future of Data AnalyticsIn this 12 hour course, you will learn about Microsoft Fabric, a unified platform designed to meet your organization's data and analytics needs. You will explore the capabilities of Fabric, understand how it works, and learn how to use it to build end-to-end data analytics solutions.The course covers a wide range of Fabric experiences, including:OneLake: The concept of OneLake is to unify all of your data into a single repository, regardless of its source or format. This makes it easier to manage your data and to perform analytics across all of your data.Lakehouses: Lakehouses are a new type of data store that combine the benefits of data lakes and data warehouses. They offer the scalability and flexibility of data lakes, while also providing the performance, structure and governance of data warehouses.Data Warehouses: A database system that stores data in OneLake and provides a medium to interact with the database using SQL commands or other compute engines.Direct Lake: Direct Lake is a new feature for Power BI that provides all the benefits and performance of Import Mode without actually importing any data into your data model.Data Factory: Data Factory is a Fabric service that helps you to automate the process of data ingestion, transformation, and loading. Data Factory can be used to build pipelines that process data from a variety of sources including sources native to Fabric and outside the Fabric environment:Dataflows Gen2: A new version of Dataflows that is built on top of Power Query Online. It provides a number of new features and improvements over Dataflows Gen1.Delta Parquet files: Delta Parquet files are a new type of Parquet file that support incremental updates. This makes them a good choice for data lakes that are used for streaming data or for data that is frequently updated.Shortcuts: Shortcuts are a new feature of Azure Data Factory that make it easier to reuse data pipelines. Shortcuts can be used to create a reusable reference to a data pipeline, which can then be used in other pipelines.This course is designed for data analysts, data scientists, data engineers, Power BI developers and other professionals who want to learn how to use Microsoft Fabric to build end-to-end data analytics solutions. No prior experience with Fabric is required.This course is a great way to learn about the latest in data analytics technology and to gain the skills you need to build end-to-end data analytics solutions in Microsoft Fabric.
