Data Modeling with Microsoft Excel: Model and analyze data using Power Pivot, DAX, and Cube functions

Save time analyzing volumes of data using a structured method to extract, model, and create insights from your data

Key Features:

• Acquire expertise in using Excel's Data Model and Power Pivot to connect and analyze multiple sources of data
• Create key performance indicators for decision making using DAX and Cube functions
• Apply your knowledge of Data Model to build an interactive dashboard that delivers key insights to your users
• Purchase of the print or Kindle book includes a free PDF eBook

Book Description:

Microsoft Excel's BI solutions have evolved, offering users more flexibility and control over analyzing data directly in Excel. Features like PivotTables, Data Model, Power Query, and Power Pivot empower Excel users to efficiently get, transform, model, aggregate, and visualize data.

Data Modeling with Microsoft Excel offers a practical way to demystify the use and application of these tools using real-world examples and simple illustrations.

This book will introduce you to the world of data modeling in Excel, as well as definitions and best practices in data structuring for both normalized and denormalized data. The next set of chapters will take you through the useful features of Data Model and Power Pivot, helping you get to grips with the types of schemas (snowflake and star) and create relationships within multiple tables. You'll also understand how to create powerful and flexible measures using DAX and Cube functions.

By the end of this book, you'll be able to apply the acquired knowledge in real-world scenarios and build an interactive dashboard that will help you make important decisions.

What You Will Learn:

• Implement the concept of data modeling within and beyond Excel
• Get, transform, model, aggregate, and visualize data with Power Query
• Understand best practices for data structuring in MS Excel
• Build powerful measures using DAX from the Data Model
• Generate flexible calculations using Cube functions
• Design engaging dashboards for your users

Who this book is for:

This book is for Excel users looking for hands-on and effective methods to manage and analyze large volumes of data within Microsoft Excel using Power Pivot. Whether you're new or already familiar with Excel's data analytics tools, this book will give you further insights on how you can apply Power Pivot, Data Model, DAX measures, and Cube functions to save time on routine data management tasks. An understanding of Excel's features like tables, PivotTable, and some basic aggregating functions will be helpful but not necessary to make the most of this book.

範例書籍翻譯：

「節省時間，使用結構化方法從您的數據中提取、建模和創建洞察，以分析大量數據」

「主要特點：」
- 熟練使用Excel的數據模型和Power Pivot，連接和分析多個數據來源
- 使用DAX和Cube函數創建決策的關鍵績效指標
- 應用數據模型的知識，構建交互式儀表板，向用戶提供關鍵洞察
- 購買印刷版或Kindle書籍，包括免費的PDF電子書

「書籍描述：」
「Microsoft Excel的商業智能解決方案已經發展，為用戶提供更多靈活性和控制，直接在Excel中分析數據。像是樞紐分析表、數據模型、Power Query和Power Pivot等功能，使Excel用戶能夠高效地獲取、轉換、建模、聚合和可視化數據。」

「《使用Microsoft Excel進行數據建模》提供了一種實用的方法，通過真實世界的例子和簡單的插圖，解析和應用這些工具。」

「本書將向您介紹Excel中的數據建模世界，以及規範化和非規範化數據的定義和最佳實踐。接下來的章節將帶您了解數據模型和Power Pivot的有用功能，幫助您熟悉不同類型的模式（雪花和星型），並在多個表之間建立關係。您還將了解如何使用DAX和Cube函數創建強大而靈活的度量。」

「通過閱讀本書，您將能夠在實際情境中應用所學知識，並構建一個交互式儀表板，幫助您做出重要決策。」

「您將學到什麼：」
- 在Excel內部和外部實施數據建模的概念
- 使用Power Query獲取、轉換、建模、聚合和可視化數據
- 了解MS Excel中的最佳數據結構化實踐
- 使用數據模型中的DAX建立強大的度量
- 使用Cube函數生成靈活的計算
- 為用戶設計引人入勝的儀表板

「本書適合對於在Microsoft Excel中使用Power Pivot管理和分析大量數據的Excel用戶。無論您是新手還是已經熟悉Excel的數據分析工具，本書都將為您提供更多關於如何應用Power Pivot、數據模型、DAX度量和Cube函數來節省例行數據管理任務時間的見解。對於理解Excel的功能，如表格、樞紐分析表和一些基本的聚合函數，將有所幫助，但不是必需的。」