Azure Data Fundamentals: A Guide to Dp-900 Certification and Beyond
暫譯: Azure 數據基礎知識：DP-900 認證及其後的指南
Pena, Michael John
- 出版商: O'Reilly
- 出版日期: 2026-01-13
- 定價: $2,110
- 售價: 9.0 折 $1,899
- 語言: 英文
- 頁數: 334
- 裝訂: Quality Paper - also called trade paper
- ISBN: 1098164733
- ISBN-13: 9781098164737
-
相關分類:
Microsoft Azure
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商品描述
Learn the essential skills and concepts for working with data in the cloud using Microsoft Azure. With this practical guide, professionals new to data management and Azure will learn how to leverage Azure services such as Azure Cosmos DB, Azure Storage, Azure SQL, and Microsoft Fabric to create, store, process, analyze, and visualize data.
Author Michael John Pena, data and AI director at Playtime Solutions, also shows you how to apply security, monitoring, and optimization techniques to your data solutions in Azure. Ideal as a resource for the Azure Data Fundamentals certification, this book also provides knowledge you can apply in your daily work even after platforms evolve and new technologies emerge.
You'll gain insightful experience that will help you apply the fundamentals of data operations and engineering in the Azure ecosystem.
- Learn core data concepts and correlating Microsoft Azure data services
- Discover how to work with relational and nonrelational data on Azure
- Build data analytics solutions using various Azure data services
- Identify and describe core data workloads and data analytics workloads on Azure
- Describe how to work with data security and privacy on Azure
- Explain the use cases, benefits, and limitations of different Azure data services
商品描述(中文翻譯)
學習在雲端使用 Microsoft Azure 處理數據所需的基本技能和概念。這本實用指南將幫助對數據管理和 Azure 不熟悉的專業人士學會如何利用 Azure 服務，如 Azure Cosmos DB、Azure Storage、Azure SQL 和 Microsoft Fabric，來創建、存儲、處理、分析和可視化數據。
作者 Michael John Pena，Playtime Solutions 的數據與 AI 總監，還將向您展示如何在 Azure 中應用安全性、監控和優化技術於您的數據解決方案。本書是 Azure Data Fundamentals 認證的理想資源，還提供了您在日常工作中可以應用的知識，即使在平台演變和新技術出現之後。
您將獲得有益的經驗，幫助您在 Azure 生態系統中應用數據操作和工程的基本原則。
- 學習核心數據概念及相關的 Microsoft Azure 數據服務
- 探索如何在 Azure 上處理關聯數據和非關聯數據
- 使用各種 Azure 數據服務構建數據分析解決方案
- 確定並描述 Azure 上的核心數據工作負載和數據分析工作負載
- 描述如何在 Azure 上處理數據安全性和隱私
- 解釋不同 Azure 數據服務的使用案例、優點和限制
