Data Modeling Made Simple will provide you with a practical working knowledge of data modeling concepts and best practices. Master these ten objectives:
<ol>
<li>Know when a data model is needed and which type of data model is most effective for each situation</li>
<li>Read a data model of any size and complexity with the same confidence as reading a book</li>
<li>Build a fully normalized relational data model, as well as an easily navigatable dimensional model</li>
<li>Apply techniques to turn a logical data model into an efficient physical design</li>
<li>Leverage several templates to make requirements gathering more efficient and accurate</li>
<li>Explain all ten categories of the Data Model Scorecard(r)</li>
<li>Learn strategies to improve your working relationships with others</li>
<li>Appreciate the impact unstructured data has on our data modeling deliverables</li>
<li>Learn basic UML concepts</li>
<li>Put data modeling in context with XML, metadata, and agile development</li>
</ol>

Data Modeling Made Simple, 2nd Edition: A Practical Guide for Business and IT Professionals

Computers & Technology

Steve Hoberman

Programming

Technics Publications

Data Modeling Made Simple with PowerDesigner will provide the business or IT professional with a practical working knowledge of data modeling concepts and best practices, and how to apply these principles with PowerDesigner. You'll build many PowerDesigner data models along the way, increasing your skills first with the fundamentals and later with more advanced feature of PowerDesigner. This book combines real-world experience and best practices to help you master the following ten objectives: 
<ol>
<li>You will know when a data model is needed and which PowerDesigner models are the most appropriate for each situation</li> <li>You will be able to read a data model of any size and complexity with the same confidence as reading a book</li> <li>You will know when to apply and how to make use of all the key features of PowerDesigner</li> <li>You will be able to build, step-by-step in PowerDesigner, a pyramid of linked data models, including a conceptual data model, a fully normalized relational data model, a physical data model, and an easily navigable dimensional model</li> <li>You will be able to apply techniques such as indexing, transforms, and forward engineering to turn a logical data model into an efficient physical design </li> <li>You will improve data governance and modeling consistency within your organization by leveraging features such as PowerDesigner's reference models, Glossary, domains, and model comparison and model mapping techniques</li> <li> You will know how to utilize dependencies and traceability links to assess the impact of change</li> <li> You will know how to integrate your PowerDesigner models with externally-managed files, including the import and export of data using Excel and Requirements documents </li> <li> You will know where you can take advantage of the entire PowerDesigner model set, to increase the success rate of corporate-wide initiatives such as business intelligence and enterprise resource planning (ERP)</li> <li> You will understand the key differentiators between PowerDesigner and other data modeling tools you may have used before </li> </ol> This book contains seven sections: Section I introduces data modeling, along with its purpose and variations. 
Section II explains all of the components on a data model including entities, data elements, relationships, and keys. Also included is a discussion of the importance of quality names and definitions for your objects. 
Section III explains the important role of data modeling tools, the key features required of any data modeling tool, and an introduction to the essential features of PowerDesigner. It also describes how to create and manage data modeling objects in PowerDesigner. 
Section IV introduces the Data Model Pyramid, then dives into the relational and dimensional subject areas, logical, and physical data models, and describes how PowerDesigner supports these models and the connections between them. 
Section V guides you through the creation of your own Data Model Pyramid. 
Section VI focuses on additional PowerDesigner features (some of which have already been introduced) that make life easier for data modelers. Learn how to get information into and out of PowerDesigner, and improve the quality of your data models with a cross-reference of key PowerDesigner features with the Data Model Scorecard. 
Section VII discusses PowerDesigner topics beyond data modeling, including the XML physical model and the other types of model available in PowerDesigner.

Data Modeling Made Simple with PowerDesigner (Take It With You)

George McGeachie

Computer Science

This is the eighth edition of the training manual for the Data Modeling Master Class that Steve Hoberman teaches onsite and through public classes. This text can be purchased prior to attending the Master Class, the latest course schedule and detailed description can be found on Steve Hoberman's website, stevehoberman.com. The Master Class is a complete data modeling course, containing three days of practical techniques for producing conceptual, logical, and physical relational and dimensional and NoSQL data models. After learning the styles and steps in capturing and modeling requirements, you will apply a best practices approach to building and validating data models through the Data Model Scorecard. You will know not just how to build a data model, but how to build a data model well. Three case studies and many exercises reinforce the material and will enable you to apply these techniques in your current projects. Top 5 Objectives:<ol>
<li>Determine how and when to use each data modeling component</li> <li>Apply techniques to elicit data requirements as a prerequisite to building a data model</li> <li>Build relational and dimensional conceptual, logical, and physical data models</li> <li>Incorporate supportability and extensibility features into the data model</li> <li>Assess the quality of a data model</li> </ol>

Data Modeling Master Class Training Manual 8th Edition: Steve Hoberman's Best Practices Approach to Understanding and Applying Fundamentals Through Advanced Modeling Techniques

Databases & Big Data

Cassandra Data Modeling and Schema Design

Betul, O’Reilly

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