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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.
"This book takes the somewhat daunting process of database design and breaks it into completely manageable and understandable components. Mike's approach whilst simple is completely professional, and I can recommend this book to any novice database designer." --Sandra Barker, Lecturer, University of South Australia, Australia "Databases are a critical infrastructure technology for information systems and today's business. Mike Hernandez has written a literate explanation of database technology--a topic that is intricate and often obscure. If you design databases yourself, this book will educate you about pitfalls and show you what to do. If you purchase products that use a database, the book...
The chapters in this book are contributed by visionaries who see the need for business leaders to define their organizations to be agile and robust in the face of external changes. The goal is to build something knowing that it will be changed; so that you have no need to go back to the metaphorical drawing board for every market condition change. In his Foreword, Keith Swenson asks you, "Consider what it means to say that the business will adapt in the face of external changes. The business architecture is not simply a model that specifies how to run the business for now and the next few years. The people making the architecture cannot know the pressures that will be faced. Instead, it must...
The #1 Easy, Commonsense Guide to Database Design—Now Updated Foreword by Michelle Poolet, Mount Vernon Data Systems LLC Michael J. Hernandez's best-selling Database Design for Mere Mortals has earned worldwide respect as the simplest way to learn relational database design. Now, he's made this hands-on, software independent tutorial even clearer and easier to use. Step by step, this new 25th Anniversary Edition shows you how to design modern databases that are soundly structured, reliable, and flexible, even in the latest online applications. Hernandez guides you through everything from planning to defining tables, fields, keys, table relationships, business rules, and views. You'll learn...
Due to market forces and technological evolution, Big Data computing is developing at an increasing rate. A wide variety of novel approaches and tools have emerged to tackle the challenges of Big Data, creating both more opportunities and more challenges for students and professionals in the field of data computation and analysis. Presenting a mix of industry cases and theory, Big Data Computing discusses the technical and practical issues related to Big Data in intelligent information management. Emphasizing the adoption and diffusion of Big Data tools and technologies in industry, the book introduces a broad range of Big Data concepts, tools, and techniques. It covers a wide range of research, and provides comparisons between state-of-the-art approaches. Comprised of five sections, the book focuses on: What Big Data is and why it is important Semantic technologies Tools and methods Business and economic perspectives Big Data applications across industries
In any software design project, the analysis of stage documenting and designing of technical requirements for the needs of users is vital to the success of the project. This book provides a thorough introduction and survey on all aspects of analysis, including design of E-commerce systems, and how it fits into the software engineering process. The material is based on successful professional courses offered at Columbia University to a diverse audience of advanced students and professionals. An emphasis is placed on the stages of analysis and the presentation of many alternative modeling tools that an analyst can utilise. Particular attention is paid to interviews, modeling tools, and approaches used in building effective web-based E-commerce systems.
Jack Hranicky is a retired U.S. Government contractor, but he has been involved with archaeology as a full-time passion for over 40 years. His main interest is the Paleo-Indian period; however, he has worked in all facets of American archaeology. He has published over 250 papers and over 35 books in archaeology with his most recent being a two-volume, 800-page, 10,000-artifact book on the material culture of Virginia. In Virginia, he is considered an expert on prehistoric stone tools and rockart. The prehistoric Spout Run Observatory site was investigated by him which dated 10,470 YBP. He has served as president of the Archeological Society of Virginia (ASV) and Eastern States Archeological Federation (ESAF), and been past chairman of the Alexandria Archaeology Commission in Virginia. He is a charter member of the Registry of Professional Archaeologists (RPA). And, since he joined the Archeological Society of Virginia (ASV) in 1966, he is its senior member. And finally, his major publication is Bipoints Before Clovis.