Microsoft Power Bi Data Analyst Associate Study Guide: Prepare for the Pl-300 Exam and Use Power Bi Successfully (Paperback)
暫譯: Microsoft Power BI 數據分析師助理學習指南：準備 PL-300 考試並成功使用 Power BI (平裝本)
Turley, Paul
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商品描述
Passing the PL-300 exam with 2025 revisions isn't just about memorization--you need to thoroughly know the basic features of Power BI. However, data professionals must also apply best practices that make Power BI solutions scalable and future-proof. The first half of this go-to companion by Paul Turley provides complete coverage of the PL-300 exam objectives for desktop and self-service users, while the second half equips you with necessary best practices and practical skills for real-world success after the exam.
Immerse yourself in exam prep, practice questions, and hands-on references for applying time-tested design patterns in Power BI. You'll learn how to transform raw data into actionable insights using Power Query, DAX, and dimensional modeling. Perfect for data analysts and business intelligence developers, this guide shows how Power BI fits into modern data platforms like Azure and Microsoft Fabric, preparing you for the exam and for the evolving world of data engineering.
- Understand PL-300 exam topics and key prep strategies
- Discover scalable, enterprise-grade Power BI solutions using best practices
- Learn how to correctly apply Power Query, DAX, and visualizations in real-world scenarios, with real business data
- Uncover how to build for scale
- See how Power BI fits into modern architectures like Azure and Microsoft Fabric
商品描述(中文翻譯)
通過 2025 年修訂的 PL-300 考試不僅僅是記憶——您需要徹底了解 Power BI 的基本功能。然而，數據專業人員還必須應用最佳實踐，使 Power BI 解決方案具備可擴展性和未來適應性。保羅·特爾利 (Paul Turley) 的這本實用指南的前半部分全面涵蓋了桌面和自助服務用戶的 PL-300 考試目標，而後半部分則為您提供必要的最佳實踐和實用技能，以便在考試後實現現實世界的成功。
沉浸於考試準備、練習題和應用經典設計模式於 Power BI 的實用參考中。您將學習如何使用 Power Query、DAX 和維度建模將原始數據轉換為可行的見解。這本指南非常適合數據分析師和商業智慧開發人員，展示了 Power BI 如何融入現代數據平台，如 Azure 和 Microsoft Fabric，為您準備考試以及不斷演變的數據工程世界。
- 了解 PL-300 考試主題和關鍵準備策略
- 使用最佳實踐發現可擴展的企業級 Power BI 解決方案
- 學習如何在現實場景中正確應用 Power Query、DAX 和可視化，並使用真實商業數據
- 探索如何為擴展而構建
- 了解 Power BI 如何融入現代架構，如 Azure 和 Microsoft Fabric
