โ Scribed by Paulraj Ponniah
No coin nor oath required. For personal study only.
Data Modeling Fundamentals is a comprehensive guide to the foundation and principles behind data modeling and its essential role in successful database design. The only book specifically addressing the essentials of data modeling for IT professionals, it includes: An overview of data modeling concepts, techniques, and symbols Anatomy of a comprehensive data model describing the various components Extensive details of entities, attributes, identifiers, and relationships Transition from data modeling to database design and implementation, datanormalization, and modeling for decision-support systems Quality data modeling and agile data modeling in practice Trends in data modeling methodologies and techniquesChapter summaries with review questions and exercises at the conclusion of each chapter help readers gauge their understanding of the material presented. Complete with real-world examples, references, and an abundance of practical tips and suggestions, Data Modeling Fundamentals is an indispensable resource for both novice and experienced data modelers.
๐ SIMILAR VOLUMES
This is a must have book that a Data Modeler will want to keep for a long time. It discusses every aspect of the Data Modeling discipline. Does not matter what DBMS you use the information in this book is priceless.
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
The book is easy to read and have easy examples that elaborate on the topic being discussed.
The book is easy to read and have easy examples that elaborate on the topic being discussed.
Geared to IT professionals eager to get into the all-important field of data warehousing, this book explores all topics needed by those who design and implement data warehouses. Readers will learn about planning requirements, architecture, infrastructure, data preparation, information delivery, impl