Usage-Driven Database Design: From Logical Data Modeling through Physical Schema Definition

Name: Usage-Driven Database Design: From Logical Data Modeling through Physical Schema Definition
Author: Tillmann, George
ISBN: 9781484227213

Tillmann, George

Language: English

Published by Apress, 2017

1484227212 / 9781484227213

Softcover
Used

See all details

Seller: HPB-Red, Dallas, TX, U.S.A.HPB-Red

5-star seller

AbeBooks seller since March 11, 2019

View this seller's items

Softcover

Condition: Used - Good

US$ 28.29

US$ 3.75 shipping

Ships within U.S.A.

Quantity: 1 available

Add to basket

Free 30-day returns

Save for laterCreate a Want for similar items

Item description from seller

Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority.

Seller Inventory # S_424130834

Contact seller about this item

Report this item

Title: Usage-Driven Database Design: From Logical Data Modeling through Physical Schema Definition
Author: Tillmann, George
Publisher: Apress
Publication year: 2017
Condition: Good
Binding: paperback
Language: English
ISBN 10: 1484227212
ISBN 13: 9781484227213

Design great databases―from logical data modeling through physical schema definition. You will learn a framework that finally cracks the problem of merging data and process models into a meaningful and unified design that accounts for how data is actually used in production systems.

Key to the framework is a method for taking the logical data model that is a static look at the definition of the data, and merging that static look with the process models describing how the data will be used in actual practice once a given system is implemented. The approach solves the disconnect between the static definition of data in the logical data model and the dynamic flow of the data in the logical process models.

The design framework in this book can be used to create operational databases for transaction processing systems, or for data warehouses in support of decision support systems. The information manager can be a flat file, Oracle Database, IMS, NoSQL, Cassandra, Hadoop, or any other DBMS.

Usage-Driven Database Design emphasizes practical aspects of design, and speaks to what works, what doesn’t work, and what to avoid at all costs. Included in the book are lessons learned by the author over his 30+ years in the corporate trenches. Everything in the book is grounded on good theory, yet demonstrates a professional and pragmatic approach to design that can come only from decades of experience.

Presents an end-to-end framework from logical data modeling through physical schema definition.
Includes lessons learned, techniques, and tricks that can turn a database disaster into a success.
Applies to all types of database management systems, including NoSQL such as Cassandra and Hadoop, and mainstream SQL databases such as Oracle and SQL Server

What You'll Learn

Create logical data models that accurately reflect the real world of the user
Create usage scenarios reflecting how applications will use a new database
Merge static data models with dynamic process models to create resilient yet flexible database designs
Support application requirements by creating responsive database schemas in any database architecture
Cope with big data and unstructured data for transaction processing and decision support systems
Recognize when relational approaches won’t work, and when to turn toward NoSQL solutions such as Cassandra or Hadoop

Who This Book Is For

System developers, including business analysts, database designers, database administrators, and application designers and developers who must design or interact with database systems

"Synopsis" may belong to another edition of this title.

HPB-Red

Dallas, TX, U.S.A.

5-star seller

AbeBooks seller since March 11, 2019

Shipping rates within U.S.A.

Item	4 to 14 business days	2 to 6 business days
First item	US$ 3.75	US$ 6.99

Delivery times are set by sellers and vary by carrier and location. Orders passing through Customs may face delays and buyers are responsible for any associated duties or fees. Sellers may contact you regarding additional charges to cover any increased costs to ship your items.