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.

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

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.

Written by clinicians, for clinicians, Cardiovascular Medicine and Surgery offers a comprehensive, authoritative, and multidisciplinary approach to this rapidly evolving field. Covering every area relevant to the daily practice of cardiovascular medicine, this new and innovative reference text, led by Drs. Debabrata Mukherjee and Richard A. Lange, brings together a stellar team of cardiovascular specialists from leading medical centers worldwide who focus on cutting-edge strategies for the clinical and surgical management of patients. Both medicine and surgery are highlighted in chapters along with follow-up care and changing technology to equip the clinician for optimal patient care. Highly structured and templated chapters cover pathogenesis, diagnosis, management, special considerations/limitations, follow-up care, and on-going and future research , Provides clinicians and fellows with comprehensive, evidence-based guidance on clinical cardiology, cardiovascular imaging, cardiac catheterization, electrophysiology, heart failure, vascular medicine, cardiovascular surgery, adult congenital heart disease, and preventative cardiology. Offers a multidisciplinary, heart team approach for valvular pathologies and coronary heart disease, with chapters authored either by a cardiologist or cardiac surgeon, or both based on subspecialty. Features a dedicated section on cardiac surgery to provide cardiologists a better perspective of commonly performed cardiac surgical procedures, risks and benefits, follow-up patient care, and changing technology. Includes hundreds of high-quality full-color anatomic illustrations, diagnostic images (ECGs, transthoracic echocardiograms, angiograms, MRIs), diagnostic and management algorithms, quick-reference tables, and clinical case studies throughout. eBook provides on-the-go access to additional online-only figures, tables, and videos Serves as a comprehensive, easily accessible reference for busy practitioners and cardiovascular trainees. , Enrich Your eBook Reading Experience Read directly on your preferred device(s), such as computer, tablet, or smartphone. Easily convert to audiobook, powering your content with natural language text-to-speech. ,