Beginning Relational Data Modeling

By: Sharon Allen, Evan Terry

Write A Review

Paperback | 1 March 2005 | Edition Number 2

At a Glance

Paperback
636 Pages

Edition Type
Revised

Dimensions(cm)
23.5 x 18.42 x 3.18

Paperback

$99.00

or 4 interest-free payments of $24.75 with

Ships in 7 to 10 business days

Data storage design, and awareness of how data needs to be utilized within an organization, is of prime importance in ensuring that company data systems work efficiently. If you need to know how to capture the information needs of a business system in a relational database model, but don't know where to start, then this is the book for you.

Beginning Relational Data Modeling, Second Edition will lead you step-by-step through the process of developing an effective logical data model for your relational database. No previous data modeling experience is even required. The authors infuse the book with concise, straightforward wisdom to explain a usually complex, jargon-filled discipline. And examples are based on their extensive experience modeling for real business systems.

Shipping

	Standard Shipping	Express Shipping
Metro postcodes:	$9.99	$14.95
Regional postcodes:	$9.99	$14.95
Rural postcodes:	$9.99	$14.95

Orders over $79.00 qualify for free shipping.

How to return your order

At Booktopia, we offer hassle-free returns in accordance with our returns policy. If you wish to return an item, please get in touch with Booktopia Customer Care.

Additional postage charges may be applicable.

Defective items

If there is a problem with any of the items received for your order then the Booktopia Customer Care team is ready to assist you.

For more info please visit our Help Centre.

You Can Find This Book In

Non-Fiction Computing & I.T.Databases Database Design & Theory Business Applications Enterprise Software Graphical & Digital Media Applications 3D Graphics & Modelling Computer Programming & Software Development Software Engineering

Understanding & organizing data
Relational theory
Terminology
Graphical syntax
Object Oriented data modeling
How data fits into projects
Building a conceptual model
Building a logical model
Designing a physical model
Reverse engineering a data model
Communicating with the model
Metadata modeling
Exploring data modeling working practices
Table of Contents provided by Publisher. All Rights Reserved.

Beginning Relational Data Modeling

At a Glance

Paperback

Shipping

How to return your order

Defective items

You Can Find This Book In

More in 3D Graphics & Modelling

Microsoft Power BI For Dummies

For Dummies (Computer/Tech)

Designing Data-Intensive Applications

Big Ideas Behind Reliable, Scalable, and Maintainable Systems

Python All-in-One For Dummies

3rd Edition

Modeling and Simulation in Economics

Modeling and Simulation in Economics

Hands-On Large Language Models

Language Understanding and Generation

Design Unlimited

Visual Communication and Storytelling with Generative Design and Data

Fundamentals of Data Engineering

Plan and Build Robust Data Systems

R for Data Science

Import, Tidy, Transform, Visualize, and Model Data

Building a Scalable Data Warehouse with Data Vault 2.0

Azure Data Fundamentals

A Guide to DP-900 Certification and Beyond

Data Modeling with Microsoft Power BI

Self-Service and Enterprise Data Warehouse with Power BI

Deciphering Data Architectures

Choosing Between a Modern Data Warehouse, Data Fabric, Data Lakehouse, and Data Mesh

Architecting Data and Machine Learning Platforms

Enable Analytics and Ai-Driven Innovation in the Cloud

Mastering Shiny

Build Interactive Apps, Reports, and Dashboards Powered by R

Data Management at Scale

Modern Data Architecture with Data Mesh and Data Fabric

Blender All-in-One For Dummies

For Dummies (Computer/Tech)

Data Science for Business

What You Need to Know About Data Mining and Data-Analytic Thinking

Think Stats

Exploratory Data Analysis

3D Printing Projects

Make:

Data Science from Scratch

First Principles with Python

Spark : The Definitive Guide

Big Data Processing Made Simple

Practical Lakehouse Architecture

Designing and Implementing Modern Data Platforms at Scale

Python Data Science Handbook

Essential Tools for Working with Data

This product is categorised by