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所在平台: Udemy |
课程主页: https://www.udemy.com/course/power-bi-your-complete-guide-to-connecting-top-data-sources/
课程评论：没有评论
课程名称：Power BI：掌握与顶级数据源的数据连接 课程概述： 本课程专注于Power BI的数据连接，旨在帮助学员掌握如何连接来自不同环境的多种数据源，包括基于文件的、云服务和数据库。通过本课程，您将深入了解如何无缝集成和处理来自不同平台的数据，充分利用Power BI进行数据分析和报告。 1. 文件数据源： 在此模块中，您将学习如何将Power BI与各种基于文件的数据源连接。这些数据源通常以本地文件或文件夹的形式存在，是许多用户的常见入门选择。您将探索： - Excel：从Excel工作簿导入数据，管理工作表、范围和表格。 - CSV：加载和转换逗号分隔值文件中的数据。 - 文本文件：处理纯文本文件及其分隔符，以实现正确的数据解析。 - XML：从XML文件中提取结构化数据，理解层次数据结构。 - JSON：连接和转换JSON文件中的数据，通常用于网络数据和API。 - Parquet：从Parquet文件中导入列式数据，这是一种用于大数据处理的流行格式。 - 文件夹：连接整个文件夹，利用文件夹级别的数据管理一次导入多个文件。 完成该模块后，您将能够处理和转换所有这些基于文件的数据源，以增强您的Power BI报告。 2. 云服务及在线数据源： 云端和在线数据源在现代数据工作流中变得越来越重要。在此模块中，您将掌握如何将Power BI与各种云服务和在线平台连接，如： - Dataverse：学习如何连接并处理来自Microsoft Dataverse的数据，这在Power Platform中常用。 - Outlook邮件（Microsoft Exchange）：了解如何通过Microsoft Exchange提取和分析Outlook邮箱数据，包括邮件、日历事件和联系人。 - 数据流：发现如何使用Power BI数据流进行基于云的数据转换和存储。 - SharePoint文件夹：连接到SharePoint文件夹以导入文件或结构化数据，适合协作和文档管理。 - 语义模型：学习如何连接并利用语义模型，以改善Power BI中的商业洞察和数据解读。 完成该模块后，您将能够熟练处理云端和在线数据源，轻松将各种云系统集成到您的Power BI报告中。 3. 数据库及ODBC连接源： 数据库和ODBC（开放数据库连接）连接对访问大规模关系数据至关重要。本模块将指导您如何将Power BI连接到多个数据库平台，确保您能够处理复杂的数据集并建立顺畅的集成。主题包括： - SQL Server连接：学习如何连接Microsoft SQL Server数据库，从SQL Server实例查询和转换数据。 - SQL Server的ODBC：当标准连接不可用或涉及较旧数据库时，使用ODBC连接器访问SQL Server数据。 - Snowflake连接：连接到Snowflake，一个基于云的数据仓库平台，利用其可扩展、安全和高性能的特点。 - Snowflake的ODBC：掌握通过ODBC驱动连接Snowflake，以实现数据提取和转换。 - Databricks连接：获得Power BI连接Databricks的专业知识，Databricks是一个理想的大数据和机器学习工作负载的统一分析平台。 - Databricks的ODBC：学习如何使用ODBC连接与Databricks集成，并提取数据进行报告和分析。 完成本课程后，您将能够熟练连接Power BI到多种数据源，无论是基于文件的、云端的，还是来自关系数据库的。您将获得与连接和转换数据的实践经验，使您能够从任何来源创建强大的数据驱动洞察。
This comprehensive course on Power BI Data Connections will equip you with the essential skills needed to connect to various data sources from diverse environments, including file-based, cloud services, and databases. You will gain in-depth knowledge of how to seamlessly integrate and work with data from different platforms, ensuring you can harness the full potential of Power BI for your data analysis and reporting needs.1. File-Based Data Sources:In this section, you will learn how to connect Power BI to a variety of file-based data sources. These sources are typically in the form of local files or folders and are a common entry point for many users. You will explore:Excel: Importing data from Excel workbooks, managing sheets, ranges, and tables.CSV: Loading and transforming data from comma-separated value files.TEXT: Working with plain text files and handling delimiters for proper data parsing.XML: Extracting structured data from XML files, understanding hierarchical data structures.JSON: Connecting and transforming data from JSON files, often used for web data and APIs.Parquet: Importing columnar data from Parquet files, a popular format for big data processing.Folder: Connecting to entire folders and using folder-level data management for importing multiple files at once.By the end of this section, you will be able to handle and transform data from all these file-based sources to power your Power BI reports.2. Cloud Services & Online Data Sources:Cloud-based and online data sources are becoming increasingly important in modern data workflows. In this section, you will master how to connect Power BI to various cloud services and online platforms, such as:Dataverse: Learn how to connect to and work with data from Microsoft Dataverse, commonly used in the Power Platform.Outlook Email (Microsoft Exchange): Understand how to extract and analyze data from Outlook Email accounts via Microsoft Exchange, including emails, calendar events, and contacts.Dataflows: Discover how to work with Power BI Dataflows, which allow for cloud-based data transformation and storage.SharePoint Folder: Connect to SharePoint folders to import files or structured data, ideal for collaboration and document management.Semantic Model: Learn how to connect to and leverage semantic models for improved business insights and data interpretation in Power BI.By the end of this section, you will be comfortable working with cloud and online data sources, enabling seamless integration of various cloud-based systems into your Power BI reports.3. Database & ODBC Connection-Based Sources:Databases and ODBC (Open Database Connectivity) connections are crucial for accessing large-scale, relational data. This section will guide you through connecting Power BI to multiple database platforms, ensuring you can handle complex datasets and establish smooth integrations. Topics include:SQL Server Connection: Learn to connect to Microsoft SQL Server databases, querying and transforming data from SQL Server instances.ODBC for SQL Server: Use ODBC connectors to access SQL Server data when standard connectors are unavailable or when working with older databases.Snowflake Connection: Connect to Snowflake, a cloud-based data warehouse platform, and work with its scalable, secure, and high-performance features.ODBC for Snowflake: Master connecting to Snowflake through ODBC drivers for data extraction and transformation in Power BI.Databricks Connection: Gain expertise in connecting Power BI to Databricks, a unified analytics platform, ideal for big data and machine learning workloads.ODBC for Databricks: Learn how to use ODBC connections to integrate with Databricks and extract data for reporting and analysis.This section will give you the technical skills needed to connect Power BI to databases and handle complex datasets using both standard and ODBC connectors.By the end of this course, you will be proficient in connecting Power BI to a wide array of data sources-whether they are file-based, cloud-based, or from relational databases. You will have hands-on experience with connecting and transforming data, empowering you to create powerful, data-driven insights in Power BI from any source.
