Analytics Optimization with Columnstore Indexes in Microsoft SQL Server: Cost-Effective, Scalable Analytics for Real-World SQL Server Workloads
暫譯: 在 Microsoft SQL Server 中使用列存索引進行分析優化：針對實際 SQL Server 工作負載的具成本效益且可擴展的分析

Pollack, Edward

Analytics Optimization with Columnstore Indexes in Microsoft SQL Server: Cost-Effective, Scalable Analytics for Real-World SQL Server Workloads
  • 出版商: Apress
  • 出版日期: 2026-05-08
  • 售價: $2,230
  • 貴賓價: 9.5 折 $2,118
  • 語言: 英文
  • 頁數: 313
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 9798868826092
  • ISBN-13: 9798868826092
  • 相關分類: SQL

    • 海外代購書籍(需單獨結帳)

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商品描述

Meet the challenge of storing and accessing analytic data in SQL Server with speed and efficiency--now with expanded coverage of SQL Server 2025 and Azure SQL Database features.

This updated second edition also explores how columnstore indexes compare to other modern analytic storage options, helping you make informed architectural decisions. Whether you're optimizing OLAP workloads or modernizing your data platform, this practical guide shows how columnstore indexes deliver faster query performance and enable rapid business intelligence insights.

Inside, you'll find a complete walkthrough of columnstore indexing, from foundational concepts to detailed architecture, implementation, and maintenance strategies. Learn best practices, explore hands-on demonstrations, and uncover common mistakes to avoid. Whether you're new to columnstore or looking to deepen your expertise, this book offers clear, actionable, and definitive guidance for development, testing, and production environments.

Discover how columnstore indexes reduce storage costs, boost performance, and simplify data management--without requiring additional licensing. Gain insight into when and how to use them, and how to architect scalable, high-performance analytic solutions in SQL Server.

You Will Learn To:

  • Apply best practices for the use and maintenance of analytic data in SQL Server
  • Use metadata to understand the size and shape of data
  • Load, maintain, and delete data from large analytic tables
  • Leverage columnstore compression to save storage, memory, and time
  • Choose between columnstore and rowstore indexes
  • Avoid performance pitfalls and leverage advanced features

Who This Book Is For

Database developers, administrators, and architects working with large analytic datasets who need a reliable, cost-effective way to improve query performance in SQL Server.

商品描述(中文翻譯)

迎接在 SQL Server 中以快速和高效的方式儲存和存取分析數據的挑戰——現在擴展了對 SQL Server 2025 和 Azure SQL Database 功能的涵蓋。

這本更新的第二版還探討了列存儲索引與其他現代分析儲存選項的比較，幫助您做出明智的架構決策。無論您是在優化 OLAP 工作負載還是現代化您的數據平台，這本實用指南展示了列存儲索引如何提供更快的查詢性能並促進快速的商業智慧洞察。

在書中，您將找到列存儲索引的完整步驟說明，從基礎概念到詳細的架構、實施和維護策略。學習最佳實踐，探索實作示範，並揭示常見的錯誤以避免。無論您是列存儲的新手還是希望深化專業知識，這本書都提供了清晰、可行且權威的指導，適用於開發、測試和生產環境。

了解列存儲索引如何降低儲存成本、提升性能並簡化數據管理——無需額外的授權。獲得何時以及如何使用它們的見解，以及如何在 SQL Server 中架構可擴展的高性能分析解決方案。

您將學會：


  • 應用最佳實踐以使用和維護 SQL Server 中的分析數據

  • 使用元數據了解數據的大小和形狀

  • 從大型分析表中加載、維護和刪除數據

  • 利用列存儲壓縮來節省儲存、記憶體和時間

  • 在列存儲和行存儲索引之間做出選擇

  • 避免性能陷阱並利用高級功能

本書適合誰

針對需要可靠且具成本效益的方法來改善 SQL Server 中查詢性能的數據庫開發人員、管理員和架構師，特別是那些處理大型分析數據集的人士。

作者簡介

Edward Pollack is a Microsoft Data Platform MVP with a passion for learning how Data Platforms work and sharing that knowledge with the community. His experiences in data architecture, database design, performance optimization, and data security are motivation for public speaking, writing, coding, and other community activities.

Ed has spoken at SQL Saturday events, SQL Bits, PASS Summit, EightKB, and many other regional and international events. Ed is the organizer of the Capital Area SQL Server Group and SQL Saturday Albany, as well as a co-organizer of SQL Saturday New York City, and Future Data Driven. He has published a number of books, including Dynamic SQL: Applications, Performance, and Security in Microsoft SQL Server, Expert Performance Indexing in Azure SQL and SQL Server 2022, and Analytics Optimization with Columnstore Indexes in Microsoft SQL Server: Optimizing OLAP Workloads. Ed is also an active contributor of content to SimpleTalk.

In his free time, Ed enjoys video games, traveling, cooking exceptionally spicy foods, and hanging out with his amazing wife and sons.

作者簡介(中文翻譯)

愛德華·波拉克 (Edward Pollack) 是微軟數據平台的 MVP，熱衷於學習數據平台的運作方式並與社群分享這些知識。他在數據架構、數據庫設計、性能優化和數據安全方面的經驗，激勵他進行公開演講、寫作、編碼及其他社群活動。

愛德華曾在 SQL Saturday 活動、SQL Bits、PASS Summit、EightKB 以及許多其他地區和國際活動中發表演講。他是首都地區 SQL Server 小組和 SQL Saturday Albany 的組織者，也是 SQL Saturday 紐約市和 Future Data Driven 的共同組織者。他出版了多本書籍，包括 Dynamic SQL: Applications, Performance, and Security in Microsoft SQL Server、Expert Performance Indexing in Azure SQL and SQL Server 2022 以及 Analytics Optimization with Columnstore Indexes in Microsoft SQL Server: Optimizing OLAP Workloads。愛德華也是 SimpleTalk 的活躍內容貢獻者。

在空閒時間，愛德華喜歡玩電子遊戲、旅行、烹飪特別辛辣的食物，並與他出色的妻子和兒子們共度時光。

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