Database System Concepts, 7/e (Paperback)
            
暫譯: 資料庫系統概念 (第七版)
        
        Abraham Silberschatz , Henry Korth, S. Sudarshan
- 出版商: McGraw-Hill Education
- 出版日期: 2019-04-26
- 售價: $4,320
- 貴賓價: 9.5 折 $4,104
- 語言: 英文
- 頁數: 1379
- ISBN: 1260084507
- ISBN-13: 9781260084504
- 
    相關分類:
    
      SQL
 
- 
    相關翻譯:
    
      數據庫系統概念, 7/e (Database System Concepts, 7/e) (簡中版)
 
- 
    其他版本:
    
      Database System Concepts 7/e (美國原版) 
 
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商品描述
- Description
 Now in its seventh edition. Silberschatz, Korth, and Sudarshan's Database System Concepts is one of the cornerstone texts of database education. It presents the fundamental concepts of database management in an intuitive manner. Chapters 1 to 11 cover concepts and techniques needed to use databases, and to design and build applications. Chapters 12 to 23 cover concepts and techniques related to database internals. while Chapters 24 to 26 cover advanced material. Concepts are presented in a general setting that is not tied to one particular database system. but are annotated with details needed to enable hands-on exercises on specific database systems. Familiarity with basic data structures, computer organization, and a high-level programming language are the only prerequisites.
 
 The overall style of the prior editions has been retained, while the content and organization continues to evolve to reflect the major changes that have occurred In recent years.
 
 New to the Seventh Edition- Extensive coverage of Big Data systems. from the user perspective (Chapter 10), as well as from an internal perspective (Chapters 20 - 23).
- Updates to all the internal chapters to reflect current-generation technology, such as solid-state disks, main-memory databases, multi-core systems, and parallel and distributed databases.
- Additional coverage of semi-structured data management using JSON, RDF, and SPARQL.
- Updated coverage of temporal data, data analytics. and advanced indexing techniques such as write-optimized indices.
- Reorganization and update of chapters to better support courses with a significant hands-on component, including use of current-generation application development tools and Big Data systems such as Apache Hadoop and Spark.
- New chapter on Blockchain Databases (Chapter 26) that introduces blockchain technology and its growing role in enterprise applications.
 
商品描述(中文翻譯)
- 
 描述
 
 本書為第七版。Silberschatz、Korth 和 Sudarshan 的 資料庫系統概念 是資料庫教育的基石之一。它以直觀的方式呈現資料庫管理的基本概念。第 1 到第 11 章涵蓋使用資料庫以及設計和構建應用程式所需的概念和技術。第 12 到第 23 章涵蓋與資料庫內部相關的概念和技術,而第 24 到第 26 章則涵蓋進階內容。這些概念在一個不特定於某一特定資料庫系統的一般環境中呈現,但附有必要的細節以便於在特定資料庫系統上進行實作練習。對基本資料結構、計算機組織和高階程式語言的熟悉是唯一的先決條件。
 
 
 
 前幾版的整體風格得以保留,而內容和組織則持續演變,以反映近年來發生的重大變化。
 
 
 
 第七版的新內容
 - 從使用者的角度(第 10 章)以及內部的角度(第 20 到第 23 章)對大數據系統進行廣泛的覆蓋。
- 更新所有內部章節,以反映當前世代的技術,例如固態硬碟、主記憶體資料庫、多核心系統以及平行和分散式資料庫。
- 增加使用 JSON、RDF 和 SPARQL 的半結構化資料管理的內容。
- 更新時間資料、資料分析以及進階索引技術(如寫入優化索引)的內容。
- 重新組織和更新章節,以更好地支持具有顯著實作成分的課程,包括使用當前世代的應用程式開發工具和大數據系統(如 Apache Hadoop 和 Spark)。
- 新增區塊鏈資料庫(第 26 章),介紹區塊鏈技術及其在企業應用中的日益重要角色。
 
 
 
 
 
 
 
 
 
目錄大綱
- Table of Contents
 Chapter 1: Introduction
 
 Part 1: Relational Languages
 Chapter 2: Introduction to the Relational Model
 Chapter 3: Introduction to SQL
 Chapter 4: Intermediate SQL
 Chapter 5: Advanced SQL
 
 Part II: Database Design
 Chapter 6: Database Design Using the E-R Model
 Chapter 7: Relational Database Design
 
 Part III: Application Design and Development
 Chapter 8: Complex Data Types
 Chapter 9: Application Development
 
 Part IV: Big Data Analytics
 Chapter 10: Big Data
 Chapter 11: Data Analytics
 
 Part V: Storage Management and Indexing
 Chapter 12: Physical Storage Systems
 Chapter 13: Data Storage Structures
 Chapter 14: Indexing
 
 Part VI: Query Processing and Optimization
 Chapter 15: Query Processing
 Chapter 16: Query Optimization
 
 Part VII: Transaction Management
 Chapter 17: Transactions
 Chapter 18: Concurrency Control
 Chapter 19: Recovery System
 
 Part VIII: Parallel and Distributed Databases
 Chapter 20: Database-System Architectures
 Chapter 21: Parallel and Distributed Storage
 Chapter 22: Parallel and Distributed Query Processing
 Chapter 23: Parallel and Distributed Transaction Processing
 
 Part IX: Advanced Topics
 Chapter 24: Advanced Indexing Techniques
 Chapter 25: Advanced Application Development
 Chapter 26: Blockchain Databases
 
 Part X: Appendix A
 Appendix A: Detailed University Schema
 
 Part XI: Online Chapters
 Chapter 27: Formal Relational Query Languages
 Chapter 28: Advanced Relational Database Design
 Chapter 29: Object-Based Databases
 Chapter 30: XML
 Chapter 31: Information Retrieval
 Chapter 32: PostgreSQL
目錄大綱(中文翻譯)
- 
 Table of Contents
 
 Chapter 1: Introduction
 
 
 
 Part 1: Relational Languages
 
 Chapter 2: Introduction to the Relational Model
 
 Chapter 3: Introduction to SQL
 
 Chapter 4: Intermediate SQL
 
 Chapter 5: Advanced SQL
 
 
 
 Part II: Database Design
 
 Chapter 6: Database Design Using the E-R Model
 
 Chapter 7: Relational Database Design
 
 
 
 Part III: Application Design and Development
 
 Chapter 8: Complex Data Types
 
 Chapter 9: Application Development
 
 
 
 Part IV: Big Data Analytics
 
 Chapter 10: Big Data
 
 Chapter 11: Data Analytics
 
 
 
 Part V: Storage Management and Indexing
 
 Chapter 12: Physical Storage Systems
 
 Chapter 13: Data Storage Structures
 
 Chapter 14: Indexing
 
 
 
 Part VI: Query Processing and Optimization
 
 Chapter 15: Query Processing
 
 Chapter 16: Query Optimization
 
 
 
 Part VII: Transaction Management
 
 Chapter 17: Transactions
 
 Chapter 18: Concurrency Control
 
 Chapter 19: Recovery System
 
 
 
 Part VIII: Parallel and Distributed Databases
 
 Chapter 20: Database-System Architectures
 
 Chapter 21: Parallel and Distributed Storage
 
 Chapter 22: Parallel and Distributed Query Processing
 
 Chapter 23: Parallel and Distributed Transaction Processing
 
 
 
 Part IX: Advanced Topics
 
 Chapter 24: Advanced Indexing Techniques
 
 Chapter 25: Advanced Application Development
 
 Chapter 26: Blockchain Databases
 
 
 
 Part X: Appendix A
 
 Appendix A: Detailed University Schema
 
 
 
 Part XI: Online Chapters
 
 Chapter 27: Formal Relational Query Languages
 
 Chapter 28: Advanced Relational Database Design
 
 Chapter 29: Object-Based Databases
 
 Chapter 30: XML
 
 Chapter 31: Information Retrieval
 
 Chapter 32: PostgreSQL

 
    
 
     
     
     
    
 
     
     
    
 
    
