此商品已下架,若仍需天瓏代為查詢或代購書籍,請與門市客服人員聯繫,或 E-mail 至 service@tenlong.com.tw 將有專人為您服務。

Incomplete Data and Data Dependencies in Relational Databases (Synthesis Lectures on Data Man)
暫譯: 關聯式資料庫中的不完整資料與資料依賴性(資料管理綜合講座)

Sergio Greco, Cristian Molinaro, Francesca Spezzano

  • 出版商: Morgan & Claypool
  • 出版日期: 2012-07-15
  • 售價: $1,620
  • 貴賓價: 9.5$1,539
  • 語言: 英文
  • 頁數: 123
  • 裝訂: Paperback
  • ISBN: 1608459268
  • ISBN-13: 9781608459261
  • 相關分類: 資料庫SQL
  • 海外代購書籍(需單獨結帳)

商品描述

The chase has long been used as a central tool to analyze dependencies and their effect on queries. It has been applied to different relevant problems in database theory such as query optimization, query containment and equivalence, dependency implication, and database schema design. Recent years have seen a renewed interest in the chase as an important tool in several database applications, such as data exchange and integration, query answering in incomplete data, and many others. It is well known that the chase algorithm might be non-terminating and thus, in order for it to find practical applicability, it is crucial to identify cases where its termination is guaranteed. Another important aspect to consider when dealing with the chase is that it can introduce null values into the database, thereby leading to incomplete data. Thus, in several scenarios where the chase is used the problem of dealing with data dependencies and incomplete data arises. This book discusses fundamental issues concerning data dependencies and incomplete data with a particular focus on the chase and its applications in different database areas. We report recent results about the crucial issue of identifying conditions that guarantee the chase termination. Different database applications where the chase is a central tool are discussed with particular attention devoted to query answering in the presence of data dependencies and database schema design.

商品描述(中文翻譯)

追逐(chase)長期以來一直被用作分析依賴性及其對查詢影響的核心工具。它已應用於數據庫理論中的不同相關問題,例如查詢優化、查詢包含性和等價性、依賴性推導以及數據庫模式設計。近年來,對於追逐作為幾個數據庫應用中重要工具的重新關注日益增加,例如數據交換和整合、不完整數據中的查詢回答等。眾所周知,追逐算法可能是非終止的,因此,為了使其找到實際應用,確定其終止保證的情況至關重要。處理追逐時還需考慮的另一個重要方面是,它可能會將空值引入數據庫,從而導致不完整數據。因此,在使用追逐的幾種情況下,處理數據依賴性和不完整數據的問題隨之而來。本書討論了有關數據依賴性和不完整數據的基本問題,特別關注追逐及其在不同數據庫領域的應用。我們報告了有關確定保證追逐終止的條件的關鍵問題的最新結果。討論了追逐作為核心工具的不同數據庫應用,特別關注在存在數據依賴性和數據庫模式設計的情況下的查詢回答。