Database Modeling With Microsoft Visio For Enterprise Architects
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Database Modeling with Microsoft® Visio for Enterprise Architects by Terry Halpin,Ken Evans,Pat Hallock,Bill Maclean Pdf
This book is for database designers and database administrators using Visio, which is the database component of Microsoft's Visual Studio .NET for Enterprise Architects suite, also included in MSDN subscriptions. This is the only guide to this product that tells DBAs how to get their job done. Although primarily focused on tool features, the book also provides an introduction to data modeling, and includes practical advice on managing database projects. The principal author was the program manager of VEA's database modeling solutions. · Explains how to model databases with Microsoft® Visio for Enterprise Architects (VEA), focusing on tool features.· Provides a platform-independent introduction to data modeling using both Object Role Modeling (ORM) and Entity Relationship Modeling (ERM), and includes practical advice on managing database projects.· Additional ORM models, course notes, and add-ins available online.
Professional UML Using Visual Studio .Net by Andrew Filev,Tony Loton,Kevin McNeish,Ben Schoellmann,John Slater,Chaur G. Wu Pdf
What is this book about? If you want to use Visio to create enterprise software, this is the book for you. The integration of Visual Studio .NET Enterprise Architect and Visio for Enterprise Architects provides a formidable tool. Visio offers powerful diagramming capabilities, including such things as creating UML models, mapping out databases with Entity Relationship diagrams, and aiding the development of distributed systems. Its integration with Visual Studio .NET Enterprise Architect means that C# or Visual Basic .NET code can be generated from the UML diagrams, and Visual Studio .NET projects can be reverse engineered to UML models. For the developer already familiar with UML and looking to get the best out of Visio, the Visual Studio .NET and Visio for Enterprise Architects combination is weakly documented, and the quality information needed to realize the time-saving features of Visio just does not seem to be available, until now. This book presumes that you are already familiar with the basic concepts of UML notation — this book will not teach you UML. Instead, this book will take you forward into the Visio environment, showing you how to make the most of its software related features. What does this book cover? In this book, you'll learn how to Diagram business components in Visio Generate code from a UML model Reverse engineer Visual Studio .NET projects into a UML model Reverse engineer into a UML model without source code Document the project with UML and Visio Design distributed applications with Visio's diagrams Work with Entity Relationship database modeling, and round-trip engineering for database design
Professional UML Using Visual Studio .Net by Andrew Filev,Tony Loton,Kevin McNeish,Ben Schoellmann,John Slater,Chaur G. Wu Pdf
What is this book about? If you want to use Visio to create enterprise software, this is the book for you. The integration of Visual Studio .NET Enterprise Architect and Visio for Enterprise Architects provides a formidable tool. Visio offers powerful diagramming capabilities, including such things as creating UML models, mapping out databases with Entity Relationship diagrams, and aiding the development of distributed systems. Its integration with Visual Studio .NET Enterprise Architect means that C# or Visual Basic .NET code can be generated from the UML diagrams, and Visual Studio .NET projects can be reverse engineered to UML models. For the developer already familiar with UML and looking to get the best out of Visio, the Visual Studio .NET and Visio for Enterprise Architects combination is weakly documented, and the quality information needed to realize the time-saving features of Visio just does not seem to be available, until now. This book presumes that you are already familiar with the basic concepts of UML notation — this book will not teach you UML. Instead, this book will take you forward into the Visio environment, showing you how to make the most of its software related features. What does this book cover? In this book, you'll learn how to Diagram business components in Visio Generate code from a UML model Reverse engineer Visual Studio .NET projects into a UML model Reverse engineer into a UML model without source code Document the project with UML and Visio Design distributed applications with Visio's diagrams Work with Entity Relationship database modeling, and round-trip engineering for database design
Whether you're designing a network, a business plan, or an office building, Visio 2007 can transform your vision into sophisticated diagrams and drawings and this comprehensive reference shows you how. You'll discover how to use Visio for IT, architecture, engineering, and business projects; explore the new features of Visio 2007; learn to publish Visio diagrams to the Web; and much more. If you want to develop your skills in Visio, this is the book you need to succeed.
Providing comprehensive coverage of Visio's large feature set for technical and engineering professionals, the book begins with a quick introduction to the intuitive interface This book quickly moves into the specialized stencils, shapes, and templates used in software and network design and documentation, engineering disciplines, and project management Features strong coverage of Visio's tight integration with other Microsoft Office products and as well as its interoperability with related products from other vendors, including AutoCad Explores how users in various fields can customize Visio with add-ons to meet their specific needs The author is a structural engineer and Visio user with twenty years of experience in project management
Simulation Conceptual Modeling by Jeffrey Strickland Pdf
Simulation Conceptual Modeling explores several system analysis methods and conceptual modeling techniques. It also discusses appropriate tools that may be used to assist with conceptual modeling. In addition, it discusses how to evaluate the quality of a conceptual model. Some commonly used conceptual modeling techniques and methods include; Data Flow Modeling, Entity Relationship Modeling, Event-Drive Process Chain, Joint Application Development, Place/Transition Net Modeling, State Transition Modeling, Object Role Modeling, and Unified Modeling Language (UML).
Database Modeling and Design by Toby J. Teorey,Sam S. Lightstone,Tom Nadeau,H.V. Jagadish Pdf
Database Modeling and Design, Fifth Edition, focuses on techniques for database design in relational database systems. This extensively revised fifth edition features clear explanations, lots of terrific examples and an illustrative case, and practical advice, with design rules that are applicable to any SQL-based system. The common examples are based on real-life experiences and have been thoroughly class-tested. This book is immediately useful to anyone tasked with the creation of data models for the integration of large-scale enterprise data. It is ideal for a stand-alone data management course focused on logical database design, or a supplement to an introductory text for introductory database management. In-depth detail and plenty of real-world, practical examples throughout Loaded with design rules and illustrative case studies that are applicable to any SQL, UML, or XML-based system Immediately useful to anyone tasked with the creation of data models for the integration of large-scale enterprise data
Information Modeling Methods and Methodologies: Advanced Topics in Database Research by Krogstie, John,Halpin, Terry,Siau, Keng Pdf
The purpose of this book is to disseminate the research results and best practice from researchers and practitioners interested in and working on modeling methods and methodologies. Though the need for such studies is well recognized, there is a paucity of such research in the literature. What specifically distinguishes this book is that it looks at various research domains and areas such as enterprise, process, goal, object-orientation, data, requirements, ontology, and component modeling, to provide an overview of existing approaches and best practices in these conceptually closely-related fields. *Note: This book is part of a series entitled ?Advanced Topics in Database Research".
Advanced Topics in Database Research by Keng Siau Pdf
This book presents the latest research ideas and topics on how to enhance current database systems, improve information storage, refine existing database models, and develop advanced applications. It provides insights into important developments in the field of database and database management. With emphasis on theoretical issues regarding databases and database management, the book describes the capabilities and features of new technologies and methodologies, and addresses the needs of database researchers and practitioners. *Note: This book is part of a new series entitled Advanced Topics in Database Research ." This book is Volume Three within this series (Vol. III, 2004).
Information Modeling and Relational Databases by Terry Halpin,Tony Morgan Pdf
Information Modeling and Relational Databases, Second Edition, provides an introduction to ORM (Object-Role Modeling)and much more. In fact, it is the only book to go beyond introductory coverage and provide all of the in-depth instruction you need to transform knowledge from domain experts into a sound database design. This book is intended for anyone with a stake in the accuracy and efficacy of databases: systems analysts, information modelers, database designers and administrators, and programmers. Terry Halpin, a pioneer in the development of ORM, blends conceptual information with practical instruction that will let you begin using ORM effectively as soon as possible. Supported by examples, exercises, and useful background information, his step-by-step approach teaches you to develop a natural-language-based ORM model, and then, where needed, abstract ER and UML models from it. This book will quickly make you proficient in the modeling technique that is proving vital to the development of accurate and efficient databases that best meet real business objectives. Presents the most indepth coverage of Object-Role Modeling available anywhere, including a thorough update of the book for ORM2, as well as UML2 and E-R (Entity-Relationship) modeling Includes clear coverage of relational database concepts, and the latest developments in SQL and XML, including a new chapter on the impact of XML on information modeling, exchange and transformation New and improved case studies and exercises are provided for many topics
Advanced Topics in Database Research, Volume 4 by Siau, Keng Pdf
Advanced Topics in Database Research is a series of books in the fields of database, software engineering, and systems analysis and design. They feature the latest research ideas and topics on how to enhance current database systems, improve information storage, refine existing database models, and develop advanced applications. Advanced Topics in Database Research, Volume 4 is a part of this series. Advanced Topics in Database Research, Volume 4 is enriched with authors who have submitted their best works for inclusion in this scholarly book. Advanced Topics in Database Research, Volume 4 is a useful reference and a valuable collection for both researchers and practitioners.
Joe Celko's Thinking in Sets: Auxiliary, Temporal, and Virtual Tables in SQL by Joe Celko Pdf
Perfectly intelligent programmers often struggle when forced to work with SQL. Why? Joe Celko believes the problem lies with their procedural programming mindset, which keeps them from taking full advantage of the power of declarative languages. The result is overly complex and inefficient code, not to mention lost productivity. This book will change the way you think about the problems you solve with SQL programs.. Focusing on three key table-based techniques, Celko reveals their power through detailed examples and clear explanations. As you master these techniques, you’ll find you are able to conceptualize problems as rooted in sets and solvable through declarative programming. Before long, you’ll be coding more quickly, writing more efficient code, and applying the full power of SQL • Filled with the insights of one of the world’s leading SQL authorities - noted for his knowledge and his ability to teach what he knows. • Focuses on auxiliary tables (for computing functions and other values by joins), temporal tables (for temporal queries, historical data, and audit information), and virtual tables (for improved performance). • Presents clear guidance for selecting and correctly applying the right table technique.
Advanced Topics in Database Research, Volume 5 by Siau, Keng Pdf
Advanced Topics in Database Research is a series of books on the fields of database, software engineering, and systems analysis and design. They feature the latest research ideas and topics on how to enhance current database systems, improve information storage, refine existing database models, and develop advanced applications. Advanced Topics in Database Research, Volume 5 is a part of this series. Advanced Topics in Database Research, Volume 5 presents the latest research ideas and topics on database systems and applications, and provides insights into important developments in the field of database and database management. This book describes the capabilities and features of new technologies and methodologies, and presents state-of-the-art research ideas, with an emphasis on theoretical issues regarding databases and database management.
The Microsoft Data Warehouse Toolkit by Joy Mundy,Warren Thornthwaite Pdf
This groundbreaking book is the first in the Kimball Toolkit series to be product-specific. Microsoft’s BI toolset has undergone significant changes in the SQL Server 2005 development cycle. SQL Server 2005 is the first viable, full-functioned data warehouse and business intelligence platform to be offered at a price that will make data warehousing and business intelligence available to a broad set of organizations. This book is meant to offer practical techniques to guide those organizations through the myriad of challenges to true success as measured by contribution to business value. Building a data warehousing and business intelligence system is a complex business and engineering effort. While there are significant technical challenges to overcome in successfully deploying a data warehouse, the authors find that the most common reason for data warehouse project failure is insufficient focus on the business users and business problems. In an effort to help people gain success, this book takes the proven Business Dimensional Lifecycle approach first described in best selling The Data Warehouse Lifecycle Toolkit and applies it to the Microsoft SQL Server 2005 tool set. Beginning with a thorough description of how to gather business requirements, the book then works through the details of creating the target dimensional model, setting up the data warehouse infrastructure, creating the relational atomic database, creating the analysis services databases, designing and building the standard report set, implementing security, dealing with metadata, managing ongoing maintenance and growing the DW/BI system. All of these steps tie back to the business requirements. Each chapter describes the practical steps in the context of the SQL Server 2005 platform. Intended Audience The target audience for this book is the IT department or service provider (consultant) who is: Planning a small to mid-range data warehouse project; Evaluating or planning to use Microsoft technologies as the primary or exclusive data warehouse server technology; Familiar with the general concepts of data warehousing and business intelligence. The book will be directed primarily at the project leader and the warehouse developers, although everyone involved with a data warehouse project will find the book useful. Some of the book’s content will be more technical than the typical project leader will need; other chapters and sections will focus on business issues that are interesting to a database administrator or programmer as guiding information. The book is focused on the mass market, where the volume of data in a single application or data mart is less than 500 GB of raw data. While the book does discuss issues around handling larger warehouses in the Microsoft environment, it is not exclusively, or even primarily, concerned with the unusual challenges of extremely large datasets. About the Authors JOY MUNDY has focused on data warehousing and business intelligence since the early 1990s, specializing in business requirements analysis, dimensional modeling, and business intelligence systems architecture. Joy co-founded InfoDynamics LLC, a data warehouse consulting firm, then joined Microsoft WebTV to develop closed-loop analytic applications and a packaged data warehouse. Before returning to consulting with the Kimball Group in 2004, Joy worked in Microsoft SQL Server product development, managing a team that developed the best practices for building business intelligence systems on the Microsoft platform. Joy began her career as a business analyst in banking and finance. She graduated from Tufts University with a BA in Economics, and from Stanford with an MS in Engineering Economic Systems. WARREN THORNTHWAITE has been building data warehousing and business intelligence systems since 1980. Warren worked at Metaphor for eight years, where he managed the consulting organization and implemented many major data warehouse systems. After Metaphor, Warren managed the enterprise-wide data warehouse development at Stanford University. He then co-founded InfoDynamics LLC, a data warehouse consulting firm, with his co-author, Joy Mundy. Warren joined up with WebTV to help build a world class, multi-terabyte customer focused data warehouse before returning to consulting with the Kimball Group. In addition to designing data warehouses for a range of industries, Warren speaks at major industry conferences and for leading vendors, and is a long-time instructor for Kimball University. Warren holds an MBA in Decision Sciences from the University of Pennsylvania's Wharton School, and a BA in Communications Studies from the University of Michigan. RALPH KIMBALL, PH.D., has been a leading visionary in the data warehouse industry since 1982 and is one of today's most internationally well-known authors, speakers, consultants, and teachers on data warehousing. He writes the "Data Warehouse Architect" column for Intelligent Enterprise (formerly DBMS) magazine.
Data Mining, Second Edition, describes data mining techniques and shows how they work. The book is a major revision of the first edition that appeared in 1999. While the basic core remains the same, it has been updated to reflect the changes that have taken place over five years, and now has nearly double the references. The highlights of this new edition include thirty new technique sections; an enhanced Weka machine learning workbench, which now features an interactive interface; comprehensive information on neural networks; a new section on Bayesian networks; and much more. This text is designed for information systems practitioners, programmers, consultants, developers, information technology managers, specification writers as well as professors and students of graduate-level data mining and machine learning courses. Algorithmic methods at the heart of successful data mining—including tried and true techniques as well as leading edge methods Performance improvement techniques that work by transforming the input or output
