Skip to Content
Data Architecture: A Primer for the Data Scientist
book

Data Architecture: A Primer for the Data Scientist

by W.H. Inmon, Daniel Linstedt
November 2014
Beginner to intermediate
378 pages
10h 33m
English
Morgan Kaufmann
Content preview from Data Architecture: A Primer for the Data Scientist
5.3

Data Modeling for the Structured Environment

Abstract

Data modeling is done for the structured data environment. The purpose of the data model is to allow a long-term effort to be coordinated across multiple groups of developers. There are three levels to the data model – the high level, the mid level, and the low level. These levels are called the ERD, the dis, and the physical model. The data model consists of definitions, relationships, keys, groupings of data, attributes, “type of” relationships, multiply occurring relationships, and foreign keys. Because of the similarity of business across different organizations there are generic data models. As a rule the data model is for the granular data of the corporation exclusively.

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.

Read now

Unlock full access

More than 5,000 organizations count on O’Reilly

AirBnbBlueOriginElectronic ArtsHomeDepotNasdaqRakutenTata Consultancy Services

QuotationMarkO’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.
Julian F.
Head of Cybersecurity
QuotationMarkI wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.
Addison B.
Field Engineer
QuotationMarkI’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.
Amir M.
Data Platform Tech Lead
QuotationMarkI'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.
Mark W.
Embedded Software Engineer

You might also like

Data Architecture: A Primer for the Data Scientist, 2nd Edition

Data Architecture: A Primer for the Data Scientist, 2nd Edition

W.H. Inmon, Daniel Linstedt, Mary Levins

Publisher Resources

ISBN: 9780128020449