Modeling Enterprise Architecture with TOGAF explains everything you need to know to effectively model enterprise architecture with The Open Group Architecture Framework (TOGAF), the leading EA standard. This solution-focused reference presents key techniques and illustrative examples to help you model enterprise architecture. This book describes the TOGAF standard and its structure, from the architecture transformation method to governance, and presents enterprise architecture modeling practices with plenty of examples of TOGAF deliverables in the context of a case study. Although widespread and growing quickly, enterprise architecture is delicate to manage across all its dimensions. Focusing on the architecture transformation method, TOGAF provides a wide framework, which covers the repository, governance, and a set of recognized best practices. The examples featured in this book were realized using the open source Modelio tool, which includes extensions for TOGAF. Includes intuitive summaries of the complex TOGAF standard to let you effectively model enterprise architecture Uses practical examples to illustrate ways to adapt TOGAF to the needs of your enterprise Provides model examples with Modelio, a free modeling tool, letting you exercise TOGAF modeling immediately using a dedicated tool Combines existing modeling standards with TOGAF
Data Modeling Made Simple will provide the business or IT professional with a practical working knowledge of data modeling concepts and best practices. This book is written in a conversational style that encourages you to read it from start to finish and master these ten objectives: Know when a data model is needed and which type of data model is most effective for each situation Read a data model of any size and complexity with the same confidence as reading a book Build a fully normalized relational data model, as well as an easily navigatable dimensional model Apply techniques to turn a logical data model into an efficient physical design Leverage several templates to make requirements gathering more efficient and accurate Explain all ten categories of the Data Model Scorecard Learn strategies to improve your working relationships with others Appreciate the impact unstructured data has, and will have, on our data modeling deliverables Learn basic UML concepts Put data modeling in context with XML, metadata, and agile development Book Review by Johnny Gay In this book review, I address each section in the book and provide what I found most valuable as a data modeler. I compare, as I go, how the book´s structure eases the new data modeler into the subject much like an instructor might ease a beginning swimmer into the pool. This book begins like a Dan Brown novel. It even starts out with the protagonist, our favorite data modeler, lost on a dark road somewhere in France. In this case, what saves him isn´t a cipher, but of all things, something that´s very much like a data model in the form of a map! The author deems they are both way-finding tools.
Conceptual modeling is about describing the semantics of software applications at a high level of abstraction in terms of structure, behavior, and user interaction. Embley and Thalheim start with a manifesto stating that the dream of developing information systems strictly by conceptual modeling - as expressed in the phrase ´´the model is the code´´ - is becoming reality. The subsequent contributions written by leading researchers in the field support the manifesto´s assertions, showing not only how to abstractly model complex information systems but also how to formalize abstract specifications in ways that let developers complete programming tasks within the conceptual model itself. They are grouped into sections on programming with conceptual models, structure modeling, process modeling, user interface modeling, and special challenge areas such as conceptual geometric modeling, information integration, and biological conceptual modeling. The Handbook of Conceptual Modeling collects in a single volume many of the best conceptual-modeling ideas, techniques, and practices as well as the challenges that drive research in the field. Thus it is much more than a traditional handbook for advanced professionals, as it also provides both a firm foundation for the field of conceptual modeling, and points researchers and graduate students towards interesting challenges and paths for how to contribute to this fundamental field of computer science.
Marco Russo and Alberto Ferrari walk students step-by-step through creating powerful data models, and then illuminate advanced features such as optimization, deployment, and scalability. Tabular Modeling in Microsoft SQL Server Analysis Services will be indispensable for everyone moving to Analysis Services Tabular, regardless of their previous experience with tabular-style models or with Microsoft´s older Analysis Services offerings. It will also be an essential follow-up for every reader of the authors´ highly-praised Microsoft SQL Server 2012 Analysis Services: The BISM Tabular Model.
Diagramming and process are important topics in today´s software development world, as the UML diagramming language has come to be almost universally accepted. Yet process is necessary; by themselves, diagrams are of little use. Use Case Driven Object Modeling with UML - Theory and Practice combines the notation of UML with a lightweight but effective process - the ICONIX process - for designing and developing software systems. ICONIX has developed a growing following over the years. Sitting between the free-for-all of Extreme Programming and overly rigid processes such as RUP, ICONIX offers just enough structure to be successful.
The four-volume set LNCS 11244, 11245, 11246, and 11247 constitutes the refereed proceedings of the 8th International Symposium on Leveraging Applications of Formal Methods, Verification and Validation, ISoLA 2018, held in Limassol, Cyprus, in October/November 2018. The papers presented were carefully reviewed and selected for inclusion in the proceedings. Each volume focusses on an individual topic with topical section headings within the volume: Part I, Modeling: Towards a unified view of modeling and programming; X-by-construction, STRESS 2018. Part II, Verification: A broader view on verification: from static to runtime and back; evaluating tools for software verification; statistical model checking; RERS 2018; doctoral symposium. Part III, Distributed Systems: rigorous engineering of collective adaptive systems; verification and validation of distributed systems; and cyber-physical systems engineering. Part IV, Industrial Practice: runtime verification from the theory to the industry practice; formal methods in industrial practice - bridging the gap; reliable smart contracts: state-of-the-art, applications, challenges and future directions; and industrial day.
Scilab is a free open-source software package for scientific computation. This is the first book to focus on simulation and modeling, and to put a major emphasis on Scicos and discuss it in depth. This new edition includes expanded chapters and major rewrites. Scilab and its Scicos block diagram graphical editor, with a special emphasis on modeling and simulation tools. The first part is a detailed Scilab tutorial, and the second is dedicated to modeling and simulation of dynamical systems in Scicos. The concepts are illustrated through numerous examples, and all code used in the book is available to the reader.
Mit der Entwicklung neuer Technologien werden auch die einzelnen Software-Projekte stetig komplexer. Zu analysieren, warum manche Projekte scheitern und andere erfolgreich sind, wird daher immer wichtiger. Dieses Buch ist ein praktischer Leitfaden für die Entwicklung neuer Software. Systematisch beschreibt der Autor die Chancen und Risiken, die einem bei der Entwicklung einer Software begegnen können. Vom gemeinsamen Kundengespräch, das Anforderungen und Ziele der Software festlegt, über die erste Modellierung bis hin zur systematischen Erfassung der Anforderungen zeigt er, wie die unterschiedlichen Prozesse mit Hilfe der UML (Unified Modeling Language) koordiniert werden können. Diese Modellierungssprache hilft, die Ideen des Entwicklers nachzuvollziehen und die Erfahrungen aus erfolgreichen Projekten auf andere Projekte zu übertragen. Neben Maßnahmen zur Qualitätssicherung beschreibt das Buch weitere Ansätze zur Projektplanung und Projektdurchführung und zeigt, wie die Softwareentwicklung in den Gesamtprozess eines Unternehmens eingebettet ist. Zum Verständnis des Buches werden Grundkenntnisse in einer objektorientierten Programmiersprache wie Java, C# oder C++ vorausgesetzt. Durch zahlreiche Wiederholungsfragen und Übungsaufgaben am Ende der Kapitel wird dieses Buch zum idealen Begleiter für Studenten der Informatik und verschiedener Ingenieurswissenschaften. Aber auch erfahrene Entwickler können von den vielen Kommentaren zur Verwendung in der Praxis zur kontinuierlichen Weiterentwicklung des Software-Engineerings profitieren. Die vorliegende vierte Auflage des bewährten Buches enthält erneut wichtige Erweiterungen und Ergänzungen.
Updated new edition of Ralph Kimball´s groundbreaking book on dimensional modeling for data warehousing and business intelligence! The first edition of Ralph Kimball´s The Data Warehouse Toolkit introduced the industry to dimensional modeling, and now his books are considered the most authoritative guides in this space. This new third edition is a complete library of updated dimensional modeling techniques, the most comprehensive collection ever. It covers new and enhanced star schema dimensional modeling patterns, adds two new chapters on ETL techniques, includes new and expanded business matrices for 12 case studies, and more. * Authored by Ralph Kimball and Margy Ross, known worldwide as educators, consultants, and influential thought leaders in data warehousing and business intelligence * Begins with fundamental design recommendations and progresses through increasingly complex scenarios * Presents unique modeling techniques for business applications such as inventory management, procurement, invoicing, accounting, customer relationship management, big data analytics, and more * Draws real-world case studies from a variety of industries, including retail sales, financial services, telecommunications, education, health care, insurance, e-commerce, and more Design dimensional databases that are easy to understand and provide fast query response with The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling, 3rd Edition.
From a winner of the ACM/SIGCSE Award, this introduction to concurrency takes into account the importance of concurrency constructs in programming languages and of formal methods such as model checking. It focuses on algorithmic principles, and the use of the Spin model checker for modeling concurrent systems and verifying program correctness.