Data Modeling with Microsoft Power BI: Self-Service and Enterprise Data Warehouse with Power BI (Paperback)
暫譯: 使用 Microsoft Power BI 的數據建模:自助服務與企業數據倉儲
Ehrenmueller-Jensen, Markus
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商品描述
Data modeling is the single most overlooked feature in the Power BI Desktop, yet it's what sets Power BI apart from other tools on the market. This practical book serves as your fast-forward button for data modeling with Power BI, Analysis Services tabular, and SQL databases. It serves as a starting point for data modeling, as well as a handy refresher.
Author Markus Ehrenmueller-Jensen, founder of Savory Data, shows you the basic concepts of Power BI's data model with hands-on examples in DAX, Power Query, and T-SQL. If you're looking to build a data warehouse layer, chapters with T-SQL examples will get you started. You'll begin with simple steps and gradually solve more complex problems.
This book shows you how to:
- Normalize and denormalize with DAX, Power Query, and T-SQL
- Apply best practices for calculations, flags and indicators, time and date, and role-playing dimensions with DAX, Power Query, and T-SQL
- Solve challenges such as binning, budget, localized models, composite models, and key value with DAX, Power Query, and T-SQL
- Discover and tackle performance issues by applying solutions in DAX, Power Query, and T-SQL
- Work with tables, relations, set operations, normal forms, dimensional modeling, and ETL
商品描述(中文翻譯)
資料建模是 Power BI Desktop 中最被忽視的功能,但正是這一點使 Power BI 與市場上其他工具區別開來。本書是您在 Power BI、Analysis Services 表格和 SQL 數據庫中進行資料建模的快速入門指南,也可以作為一個方便的複習資料。
作者 Markus Ehrenmueller-Jensen,Savory Data 的創始人,通過 DAX、Power Query 和 T-SQL 的實作範例向您展示 Power BI 資料模型的基本概念。如果您希望建立數據倉儲層,包含 T-SQL 範例的章節將幫助您入門。您將從簡單的步驟開始,逐漸解決更複雜的問題。
本書將教您如何:
- 使用 DAX、Power Query 和 T-SQL 進行正規化和反正規化
- 應用最佳實踐於計算、標誌和指標、時間和日期,以及角色扮演維度,使用 DAX、Power Query 和 T-SQL
- 解決如分箱、預算、本地化模型、複合模型和關鍵值等挑戰,使用 DAX、Power Query 和 T-SQL
- 通過在 DAX、Power Query 和 T-SQL 中應用解決方案來發現和解決性能問題
- 處理表格、關係、集合運算、正規形式、維度建模和 ETL