Database Modeling and Design

Database Modeling and Design
Author: Toby J. Teorey,Sam Lightstone,Tom Nadeau
Publsiher: Elsevier
Total Pages: 304
Release: 2011
ISBN 10: 0123820200
ISBN 13: 9780123820204
Language: EN, FR, DE, ES & NL

Database Modeling and Design Book Review:

Database systems and database design technology have undergone significant evolution in recent years. The relational data model and relational database systems dominate business applications; in turn, they are extended by other technologies like data warehousing, OLAP, and data mining. How do you model and design your database application in consideration of new technology or new business needs? In the extensively revised fifth edition, you'll get clear explanations, lots of terrific examples and an illustrative case, and the really practical advice you have come to count on--with design rules that are applicable to any SQL-based system. But you'll also get plenty to help you grow from a new database designer to an experienced designer developing industrial-sized systems. In-depth detail and plenty of real-world, practical examples throughout Loaded with design rules and illustrative case studies that are applicable to any SQL, UML, or XML-based system Immediately useful to anyone tasked with the creation of data models for the integration of large-scale enterprise data.

Conceptual Data Modeling and Database Design A Fully Algorithmic Approach Volume 1

Conceptual Data Modeling and Database Design  A Fully Algorithmic Approach  Volume 1
Author: Christian Mancas
Publsiher: CRC Press
Total Pages: 698
Release: 2016-01-05
ISBN 10: 1498728448
ISBN 13: 9781498728447
Language: EN, FR, DE, ES & NL

Conceptual Data Modeling and Database Design A Fully Algorithmic Approach Volume 1 Book Review:

This new book aims to provide both beginners and experts with a completely algorithmic approach to data analysis and conceptual modeling, database design, implementation, and tuning, starting from vague and incomplete customer requests and ending with IBM DB/2, Oracle, MySQL, MS SQL Server, or Access based software applications. A rich panoply of solutions to actual useful data sub-universes (e.g. business, university, public and home library, geography, history, etc.) is provided, constituting a powerful library of examples. Four data models are presented and used: the graphical Entity-Relationship, the mathematical EMDM, the physical Relational, and the logical deterministic deductive Datalog ones. For each one of them, best practice rules, algorithms, and the theory beneath are clearly separated. Four case studies, from a simple public library example, to a complex geographical study are fully presented, on all needed levels. Several dozens of real-life exercises are proposed, out of which at least one per chapter is completely solved. Both major historical and up-to-date references are provided for each of the four data models considered. The book provides a library of useful solutions to real-life problems and provides valuable knowledge on data analysis and modeling, database design, implementation, and fine tuning.

Database Modeling and Design 5th Edition

Database Modeling and Design  5th Edition
Author: Toby Teorey,Sam Lightstone,Tom Nadeau,H. V. Jagadish
Publsiher: Unknown
Total Pages: 352
Release: 2011
ISBN 10:
ISBN 13: OCLC:1105795480
Language: EN, FR, DE, ES & NL

Database Modeling and Design 5th Edition Book Review:

Database Modeling and Design, Fifth Edition, focuses on techniques for database design in relational database systems. This extensively revised fifth edition features clear explanations, lots of terrific examples and an illustrative case, and practical advice, with design rules that are applicable to any SQL-based system. The common examples are based on real-life experiences and have been thoroughly class-tested. This book is immediately useful to anyone tasked with the creation of data models for the integration of large-scale enterprise data. It is ideal for a stand-alone data management course focused on logical database design, or a supplement to an introductory text for introductory database management. In-depth detail and plenty of real-world, practical examples throughout Loaded with design rules and illustrative case studies that are applicable to any SQL, UML, or XML-based system Immediately useful to anyone tasked with the creation of data models for the integration of large-scale enterprise data.

Database Modeling Design

Database Modeling   Design
Author: Toby J. Teorey
Publsiher: Morgan Kaufmann
Total Pages: 277
Release: 1994
ISBN 10:
ISBN 13: UOM:39015032927819
Language: EN, FR, DE, ES & NL

Database Modeling Design Book Review:

Toby J. Teorey.

Data Modeling and Database Design

Data Modeling and Database Design
Author: Narayan S. Umanath,Richard W. Scamell
Publsiher: Cengage Learning
Total Pages: 720
Release: 2014-06-18
ISBN 10: 1305177541
ISBN 13: 9781305177543
Language: EN, FR, DE, ES & NL

Data Modeling and Database Design Book Review:

DATA MODELING AND DATABASE DESIGN presents a conceptually complete coverage of indispensable topics that each MIS student should learn if that student takes only one database course. Database design and data modeling encompass the minimal set of topics addressing the core competency of knowledge students should acquire in the database area. The text, rich examples, and figures work together to cover material with a depth and precision that is not available in more introductory database books. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

UML for Database Design

UML for Database Design
Author: Eric Naiburg,Eric J. Naiburg,Robert A. Maksimchuck
Publsiher: Addison-Wesley Professional
Total Pages: 300
Release: 2001
ISBN 10: 9780201721638
ISBN 13: 0201721635
Language: EN, FR, DE, ES & NL

UML for Database Design Book Review:

Typically, analysis, development, and database teams work for different business units, and use different design notations. With UML and the Rational Unified Process (RUP), however, they can unify their efforts -- eliminating time-consuming, error-prone translations, and accelerating software to market. In this book, two data modeling specialists from Rational Software Corporation show exactly how to model data with UML and RUP, presenting proven processes and start-to-finish case studies. The book utilizes a running case study to bring together the entire process of data modeling with UML. Each chapter dissects a different stage of the data modeling process, from requirements through implementation. For each stage, the authors cover workflow and participants' roles, key concepts, proven approach, practical design techniques, and more. Along the way, the authors demonstrate how integrating data modeling into a unified software design process not only saves time and money, but gives all team members a far clearer understanding of the impact of potential changes. The book includes a detailed glossary, as well as appendices that present essential Use Case Models and descriptions. For all software team members: managers, team leaders, systems and data analysts, architects, developers, database designers, and others involved in building database applications for the enterprise.

Patterns of Data Modeling

Patterns of Data Modeling
Author: Michael Blaha
Publsiher: CRC Press
Total Pages: 261
Release: 2010-06-01
ISBN 10: 9781439819906
ISBN 13: 1439819904
Language: EN, FR, DE, ES & NL

Patterns of Data Modeling Book Review:

Best-selling author and database expert with more than 25 years of experience modeling application and enterprise data, Dr. Michael Blaha provides tried and tested data model patterns, to help readers avoid common modeling mistakes and unnecessary frustration on their way to building effective data models. Unlike the typical methodology book, Patterns of Data Modeling provides advanced techniques for those who have mastered the basics. Recognizing that database representation sets the path for software, determines its flexibility, affects its quality, and influences whether it succeeds or fails, the text focuses on databases rather than programming. It is one of the first books to apply the popular patterns perspective to database systems and data models. It offers practical advice on the core aspects of applications and provides authoritative coverage of mathematical templates, antipatterns, archetypes, identity, canonical models, and relational database design.

UML Database Modeling Workbook

UML Database Modeling Workbook
Author: Michael Blaha
Publsiher: Technics Publications
Total Pages: 220
Release: 2013-10-01
ISBN 10: 1634620720
ISBN 13: 9781634620727
Language: EN, FR, DE, ES & NL

UML Database Modeling Workbook Book Review:

With our appetites for data on the rise, it has become more important than ever to use UML (Unified Modeling Language) to capture and precisely represent all of these data requirements. Learn how to construct UML data models by working through a series of exercises and self-assessment tests. Beginners can learn the UML directly. Experienced modelers can leverage their understanding of existing database notations, as the book extensively compares the UML to traditional data modeling (Information Engineering). 1. Discover a new way of representing data requirements and communicating better with your business customers. 2. Understand what UML constructs mean and how to properly use them. 3. Learn subtleties of the UML. Become a power UML developer. 4. Practice constructing data models with the exercises. The back of the book answers every exercise. 5. Assess your mastery of the material. Each part has a multiple-choice test that can quantify your understanding. 6. Improve your ability to abstract – think about different ways of representation – as you construct data models. 7. Measure the quality of your data models. 8. Be able to create database designs (DDL code) starting from a UML data model. 9. Be able to write SQL database queries using a data model as a blueprint. 10. Know the differences among operational models, data warehouse models, enterprise models, and master models. They are all aspects of data modeling. This book is concise and to the point. You will learn by induction through reading, practice, and feedback.

Relational Database Design Clearly Explained

Relational Database Design Clearly Explained
Author: Jan L. Harrington
Publsiher: Morgan Kaufmann
Total Pages: 393
Release: 2002
ISBN 10: 9781558608207
ISBN 13: 1558608206
Language: EN, FR, DE, ES & NL

Relational Database Design Clearly Explained Book Review:

Fully revised and updated, Relational Database Design, Second Edition is the most lucid and effective introduction to relational database design available. Here, you'll find the conceptual and practical information you need to develop a design that ensures data accuracy and user satisfaction while optimizing performance, regardless of your experience level or choice of DBMS. Supporting the book's step-by-step instruction are three case studies illustrating the planning, analysis, and design steps involved in arriving at a sound design. These real-world examples include object-relational design techniques, which are addressed in greater detail in a new chapter devoted entirely to this timely subject. * Concepts you need to master to put the book's practical instruction to work. * Methods for tailoring your design to the environment in which the database will run and the uses to which it will be put. * Design approaches that ensure data accuracy and consistency. * Examples of how design can inhibit or boost database application performance. * Object-relational design techniques, benefits, and examples. * Instructions on how to choose and use a normalization technique. * Guidelines for understanding and applying Codd's rules. * Tools to implement a relational design using SQL. * Techniques for using CASE tools for database design.

Usage Driven Database Design

Usage Driven Database Design
Author: George Tillmann
Publsiher: Apress
Total Pages: 374
Release: 2017-04-07
ISBN 10: 1484227220
ISBN 13: 9781484227220
Language: EN, FR, DE, ES & NL

Usage Driven Database Design Book Review:

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

Data Modeling Logical Database Design

Data Modeling Logical Database Design
Author: Sideris Courseware Corp.
Publsiher: Unknown
Total Pages: 398
Release: 2011
ISBN 10: 9781936930197
ISBN 13: 1936930196
Language: EN, FR, DE, ES & NL

Data Modeling Logical Database Design Book Review:

This guidebook, and its companion volume which follows, provide a solid basis from which one can successfully implement relational database, multidimensional data warehouse and business intelligence (BI) technologies. The principal objective of this initial course volume is to convey a practical and common sense guide to the theory and concepts of data modeling. Using these sophisticated techniques one can create an elegant logical design of a database. Within this course we discuss not only the premier modeling theories from the best industry experts but also present the practical and real-world experience of the past 20-years of Sideris data design practitioners. The methodologies discussed are applicable to any relational database environment, including IBM DB2, the Oracle database, Microsoft SQL Server, the open-source MySQL and PostgreSQL databases as well as other RDBMS platforms. They are also applicable to other database technologies, such as object databases and legacy IMS and IDMS databases. Finally, while we use the free Oracle SQL Developer Data Modeler product as a demonstration modeling tool, one can complete the exercises of this course and apply the techniques learned using any other popular data model diagramming tool, such as IBM InfoSphere Data Architect, CA ErWin Data Modeler, Embarcadero ER/Studio and others. A summary of the objectives of this textbook are: DATA MODELING THEORY & CONCEPTS; BUILDING AN INITIAL DATA MODEL; DRAWING A MODEL USING SOFTWARE ENGINEERING TOOLS; INCREASING THE ACCURACY OF THE MODEL; FINDING & FIXING ATTRIBUTE MISTAKES; SEMANTIC & OBJECT ORIENTED MODELING OF ENTITIES & RELATIONSHIPS; SEMANTIC & OBJECT ORIENTED MODELING OF DOMAINS & TYPES; TIME-DEPENDENCY & STATE-DEPENDENCY; CLASSIC STRUCTURES & PATTERNS; LOGICAL / PHYSICAL MODEL TRANSFORMATION; RDBMS IMPLEMENTATION OF THE PHYSICAL MODEL

Data Modeling Fundamentals

Data Modeling Fundamentals
Author: Paulraj Ponniah
Publsiher: John Wiley & Sons
Total Pages: 464
Release: 2007-06-30
ISBN 10: 9780470141014
ISBN 13: 0470141018
Language: EN, FR, DE, ES & NL

Data Modeling Fundamentals Book Review:

The purpose of this book is to provide a practical approach for IT professionals to acquire the necessary knowledge and expertise in data modeling to function effectively. It begins with an overview of basic data modeling concepts, introduces the methods and techniques, provides a comprehensive case study to present the details of the data model components, covers the implementation of the data model with emphasis on quality components, and concludes with a presentation of a realistic approach to data modeling. It clearly describes how a generic data model is created to represent truly the enterprise information requirements.

Fuzzy Databases

Fuzzy Databases
Author: Jose Galindo,Angelica Urrutia,Mario Piattini
Publsiher: IGI Global
Total Pages: 320
Release: 2006-01-01
ISBN 10: 1591403243
ISBN 13: 9781591403241
Language: EN, FR, DE, ES & NL

Fuzzy Databases Book Review:

"This book includes an introduction to fuzzy logic, fuzzy databases and an overview of the state of the art in fuzzy modeling in databases"--Provided by publisher.

Data Modeling for the Business

Data Modeling for the Business
Author: Steve Hoberman,Donna Burbank,Chris Bradley
Publsiher: Technics Publications
Total Pages: 288
Release: 2009-04-01
ISBN 10: 1634620437
ISBN 13: 9781634620437
Language: EN, FR, DE, ES & NL

Data Modeling for the Business Book Review:

Did you ever try getting Businesspeople and IT to agree on the project scope for a new application? Or try getting Marketing and Sales to agree on the target audience? Or try bringing new team members up to speed on the hundreds of tables in your data warehouse — without them dozing off? Whether you are a businessperson or an IT professional, you can be the hero in each of these and hundreds of other scenarios by building a High-Level Data Model. The High-Level Data Model is a simplified view of our complex environment. It can be a powerful communication tool of the key concepts within our application development projects, business intelligence and master data management programs, and all enterprise and industry initiatives. Learn about the High-Level Data Model and master the techniques for building one, including a comprehensive ten-step approach and hands-on exercises to help you practice topics on your own. In this book, we review data modeling basics and explain why the core concepts stored in a high-level data model can have significant business impact on an organization. We explain the technical notation used for a data model and walk through some simple examples of building a high-level data model. We also describe how data models relate to other key initiatives you may have heard of or may be implementing in your organization. This book contains best practices for implementing a high-level data model, along with some easy-to-use templates and guidelines for a step-by-step approach. Each step will be illustrated using many examples based on actual projects we have worked on. Names have been changed to protect the innocent, but the pain points and lessons have been preserved. One example spans an entire chapter and will allow you to practice building a high-level data model from beginning to end, and then compare your results to ours. Building a high-level data model following the ten step approach you’ll read about is a great way to ensure you will retain the new skills you learn in this book. As is the case in many disciplines, using the right tool for the right job is critical to the overall success of your high-level data model implementation. To help you in your tool selection process, there are several chapters dedicated to discussing what to look for in a high-level data modeling tool and a framework for choosing a data modeling tool, in general. This book concludes with a real-world case study that shows how an international energy company successfully used a high-level data model to streamline their information management practices and increase communication throughout the organization—between both businesspeople and IT. Data modeling is one of the under-exploited, and potentially very valuable, business capabilities that are often hidden away in an organization’s Information Technology department. Data Modeling for the Business highlights both the resulting damage to business value, and the opportunities to make things better. As an easy-to follow and comprehensive guide on the ‘why’ and ‘how’ of data modeling, it also reminds us that a successful strategy for exploiting IT depends at least as much on the information as the technology. Chris Potts, Corporate IT Strategist and Author of fruITion: Creating the Ultimate Corporate Strategy for Information Technology One of the most critical systems issues is aligning business with IT and fulfilling business needs using data models. The authors of Data Modeling for the Business do a masterful job at simply and clearly describing the art of using data models to communicate with business representatives and meet business needs. The book provides many valuable tools, analogies, and step-by-step methods for effective data modeling and is an important contribution in bridging the much needed connection between data modeling and realizing business requirements. Len Silverston, author of The Data Model Resource Book series

Database Modeling and Design

Database Modeling and Design
Author: Toby J. Teorey
Publsiher: Morgan Kaufmann
Total Pages: 366
Release: 1999
ISBN 10: 9781558605008
ISBN 13: 1558605002
Language: EN, FR, DE, ES & NL

Database Modeling and Design Book Review:

This work has been revised and updated to provide a comprehensive treatment of database design for commercial database products and their applications. The book covers the basic foundation of design as well as more advanced techniques, and also incorporates coverage of data warehousing and OLAP (On-Line Analytical Processing), data mining, object-relational, multimedia, and temporal/spatial design.

Database Design for Smarties

Database Design for Smarties
Author: Robert J. Muller
Publsiher: Morgan Kaufmann
Total Pages: 442
Release: 1999-03-08
ISBN 10: 9781558605152
ISBN 13: 1558605150
Language: EN, FR, DE, ES & NL

Database Design for Smarties Book Review:

Craft the Right Design Using UML Whether building a relational, object-relational, or object-oriented database, database developers are increasingly relying on an object-oriented design approach as the best way to meet user needs and performance criteria. This book teaches you how to use the Unified Modeling Language-the official standard of the Object Management Group-to develop and implement the best possible design for your database. Inside, the author leads you step by step through the design process, from requirements analysis to schema generation. You'll learn to express stakeholder needs in UML use cases and actor diagrams, to translate UML entities into database components, and to transform the resulting design into relational, object-relational, and object-oriented schemas for all major DBMS products. Features Teaches you everything you need to know to design, build, and test databases using an OO model. Shows you how to use UML, the accepted standard for database design according to OO principles. Explains how to transform your design into a conceptual schema for relational, object-relational, and object-oriented DBMSs. Offers practical examples of design for Oracle, SQL Server, Sybase, Informix, Object Design, POET, and other database management systems. Focuses heavily on re-using design patterns for maximum productivity and teaches you how to certify completed designs for re-use.

Data Modeling Essentials

Data Modeling Essentials
Author: Graeme Simsion,Graham Witt
Publsiher: Elsevier
Total Pages: 560
Release: 2004-12-03
ISBN 10: 9780080488677
ISBN 13: 0080488676
Language: EN, FR, DE, ES & NL

Data Modeling Essentials Book Review:

Data Modeling Essentials, Third Edition, covers the basics of data modeling while focusing on developing a facility in techniques, rather than a simple familiarization with "the rules". In order to enable students to apply the basics of data modeling to real models, the book addresses the realities of developing systems in real-world situations by assessing the merits of a variety of possible solutions as well as using language and diagramming methods that represent industry practice. This revised edition has been given significantly expanded coverage and reorganized for greater reader comprehension even as it retains its distinctive hallmarks of readability and usefulness. Beginning with the basics, the book provides a thorough grounding in theory before guiding the reader through the various stages of applied data modeling and database design. Later chapters address advanced subjects, including business rules, data warehousing, enterprise-wide modeling and data management. It includes an entirely new section discussing the development of logical and physical modeling, along with new material describing a powerful technique for model verification. It also provides an excellent resource for additional lectures and exercises. This text is the ideal reference for data modelers, data architects, database designers, DBAs, and systems analysts, as well as undergraduate and graduate-level students looking for a real-world perspective. Thorough coverage of the fundamentals and relevant theory. Recognition and support for the creative side of the process. Expanded coverage of applied data modeling includes new chapters on logical and physical database design. New material describing a powerful technique for model verification. Unique coverage of the practical and human aspects of modeling, such as working with business specialists, managing change, and resolving conflict.

Build a Career in Data Science

Build a Career in Data Science
Author: Emily Robinson,Jacqueline Nolis
Publsiher: Simon and Schuster
Total Pages: 354
Release: 2020-03-06
ISBN 10: 1638350159
ISBN 13: 9781638350156
Language: EN, FR, DE, ES & NL

Build a Career in Data Science Book Review:

Summary You are going to need more than technical knowledge to succeed as a data scientist. Build a Career in Data Science teaches you what school leaves out, from how to land your first job to the lifecycle of a data science project, and even how to become a manager. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology What are the keys to a data scientist’s long-term success? Blending your technical know-how with the right “soft skills” turns out to be a central ingredient of a rewarding career. About the book Build a Career in Data Science is your guide to landing your first data science job and developing into a valued senior employee. By following clear and simple instructions, you’ll learn to craft an amazing resume and ace your interviews. In this demanding, rapidly changing field, it can be challenging to keep projects on track, adapt to company needs, and manage tricky stakeholders. You’ll love the insights on how to handle expectations, deal with failures, and plan your career path in the stories from seasoned data scientists included in the book. What's inside Creating a portfolio of data science projects Assessing and negotiating an offer Leaving gracefully and moving up the ladder Interviews with professional data scientists About the reader For readers who want to begin or advance a data science career. About the author Emily Robinson is a data scientist at Warby Parker. Jacqueline Nolis is a data science consultant and mentor. Table of Contents: PART 1 - GETTING STARTED WITH DATA SCIENCE 1. What is data science? 2. Data science companies 3. Getting the skills 4. Building a portfolio PART 2 - FINDING YOUR DATA SCIENCE JOB 5. The search: Identifying the right job for you 6. The application: Résumés and cover letters 7. The interview: What to expect and how to handle it 8. The offer: Knowing what to accept PART 3 - SETTLING INTO DATA SCIENCE 9. The first months on the job 10. Making an effective analysis 11. Deploying a model into production 12. Working with stakeholders PART 4 - GROWING IN YOUR DATA SCIENCE ROLE 13. When your data science project fails 14. Joining the data science community 15. Leaving your job gracefully 16. Moving up the ladder

Database Modeling from 0 to 60 in 4 Seconds

Database Modeling from 0 to 60 in 4 Seconds
Author: Gavin Powell
Publsiher: Createspace Independent Pub
Total Pages: 412
Release: 2012-10-01
ISBN 10: 9781478279990
ISBN 13: 1478279990
Language: EN, FR, DE, ES & NL

Database Modeling from 0 to 60 in 4 Seconds Book Review:

This book focuses on the relational database model from the perspective of the data modeling novice, and thus the title Database Modeling from 0 to 60 in 4 Seconds. The objective is to provide an alternative and easy to understand, step-by-step, simple explanation of designing and building relational database models. There are lots of examples and exercises, as well as a multiple chapter case study. People who would benefit from reading this book would be anyone involved with database technology including database administrators, developers, NOVICE data modelers, systems or network administrators, technical managers, marketers, advertisers, forecasters, planners, executives – anyone who doesn't know something about data modeling – and wants to. If You want some kind of clarity to the funny diagrams You see in Your Access database, perhaps built by a programmer, then this book might help You. If You want to know what all that complicated stuff is in the company MySQL, SQL-Server or Oracle database then this book might be a terrific place to start. This book will give enough of an understanding without completely blowing Your mind - and when there are words You've never seen before there is a glossary of terms to explain those words to You. FULL DISCLOSURE: this is a book that is a seriously reworked self-publishing exercise of a book previously printed by a big publisher - this book deserves another attempt. The one thing to remember about this topic is that it's not an exact science and the what and how of data modeling depends upon the application and the circumstances; and I might even tell You sometimes to think about undoing things You've already worked so hard to create and to make Your database perform a little better. So if You're looking for a definitive set of rules You might not like this book. My overall objective in this book is to help people understand data modeling as both a science as well as and an art, by way of tutorial, assuming that after 25 years in the IT field that I might have actually learned a thing or two. This book covers these topics: The History of Database Modeling Databases and Applications The Art of Database Design The Pieces of the Relational Data Model Intuitive Data Modeling and Normalization Reading and Writing Data with SQL Advanced Relational Database Modeling Understanding Data Warehouse Database Modeling Building Faster Performing Database Models Case Study Chapters: Planning and Preparation Creating and Refining Tables Details in Columns and Datatypes Yes this book can be expanded upon in the future but it took about 2 years to get it to this point so let's see how people like this one first.

Data Modeling and Database Design

Data Modeling and Database Design
Author: Narayan S. Umanath,Richard W. Scamell
Publsiher: Cengage Learning
Total Pages: 720
Release: 2014-06-18
ISBN 10: 9781285085258
ISBN 13: 1285085256
Language: EN, FR, DE, ES & NL

Data Modeling and Database Design Book Review:

DATA MODELING AND DATABASE DESIGN presents a conceptually complete coverage of indispensable topics that each MIS student should learn if that student takes only one database course. Database design and data modeling encompass the minimal set of topics addressing the core competency of knowledge students should acquire in the database area. The text, rich examples, and figures work together to cover material with a depth and precision that is not available in more introductory database books. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.