Database Modeling Step by Step
暫譯: 逐步學習資料庫建模

Powell, Gavin

  • 出版商: Auerbach Publication
  • 出版日期: 2019-12-18
  • 售價: $2,830
  • 貴賓價: 9.5$2,689
  • 語言: 英文
  • 頁數: 268
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 0367422174
  • ISBN-13: 9780367422172
  • 相關分類: 資料庫
  • 海外代購書籍(需單獨結帳)

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商品描述

With the aim of simplifying relational database modeling, Database Modeling Step-by-Step presents the standard approach to database normalization and then adds its own approach, which is a more simplistic, intuitive way to building relational database models. Going from basics to contemporary topics, the book opens with relational data modeling and ends with BigData database modeling following a road map of the evolution in relational modeling and including brief introductions to data warehousing and BigData modeling. A break-down of the elements of a model explains what makes up a relational data model. This is followed by a comparison between standard normalization and a more simplistic intuitive approach to data modeling that a beginner can follow and understand.

 

A brief chapter explains how to use the database programming language SQL (Structured Query Language), which reads from and writes to a relational database. SQL is fundamental to data modeling because it helps in understanding how the model is used. In addition to the relational model, the last three chapters cover important modern world topics including denormalization that leads into data warehouses and BigData database modeling. The book explains how there is not much to logical data modeling in BigData databases because as they are often schema-less, which means that BigData databases do not have schemas embedded into the database itself, they have no metadata and thus not much of a logical data model.

 

Online bonus chapters include a case study that covers relational data modeling and are available at the author’s web site: www.oracletroubleshooter.com/datamodeling.html

商品描述(中文翻譯)

為了簡化關聯資料庫建模,逐步學習資料庫建模介紹了資料庫正規化的標準方法,並添加了其自身的方法,這是一種更簡單、直觀的建立關聯資料庫模型的方式。本書從基礎知識開始,涵蓋當代主題,開篇介紹關聯資料建模,結尾則是大數據資料庫建模,沿著關聯建模的演變路徑,並簡要介紹資料倉儲和大數據建模。模型元素的分解解釋了關聯資料模型的組成部分。接下來,對標準正規化和更簡單直觀的資料建模方法進行比較,這種方法適合初學者理解和跟隨。

簡短的章節解釋了如何使用資料庫程式語言 SQL(結構化查詢語言),該語言用於從關聯資料庫讀取和寫入資料。SQL 是資料建模的基礎,因為它有助於理解模型的使用方式。除了關聯模型外,最後三個章節涵蓋了現代世界的重要主題,包括導致資料倉儲和大數據資料庫建模的非正規化。本書解釋了在大數據資料庫中邏輯資料建模的內容不多,因為它們通常是無模式的,這意味著大數據資料庫並不在資料庫本身中嵌入模式,沒有元資料,因此也就沒有太多的邏輯資料模型。

線上附加章節包括涵蓋關聯資料建模的案例研究,並可在作者的網站上獲得:www.oracletroubleshooter.com/datamodeling.html

作者簡介

Gavin Powell is a veteran IT practitioner and author of a number of publications on Oracle technologies. He has extensive experience in many databases, including more than a decade working with Oracle databases.

Powell has authored the following books:

  • Oracle Performance Tuning for 10gR2
  • Oracle SQL Jumpstart with Examples (with Carol McCullough-Dieter)
  • Oracle Data Warehouse Tuning for 10gR2
  • Oracle High-Performance Tuning for 9i and 10g
  • Working with GoldenGate 12c

作者簡介(中文翻譯)

Gavin Powell 是一位資深的 IT 從業人員,並且是多本有關 Oracle 技術的出版物的作者。他在多種資料庫方面擁有豐富的經驗,包括超過十年的 Oracle 資料庫工作經驗。

Powell 著作的書籍包括:

- *Oracle Performance Tuning for 10g R2*
- *Oracle SQL Jumpstart with Examples*(與 Carol McCullough-Dieter 合著)
- *Oracle Data Warehouse Tuning for 10g R2*
- *Oracle High-Performance Tuning for 9i and 10g*
- *Working with GoldenGate 12c*

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