Author by: Steve HobermanLanguange: enPublisher by: Technics Publications LLCFormat Available: PDF, ePub, MobiTotal Read: 27Total Download: 955File Size: 42,6 MbDescription: This is the 2nd edition of the training manual for the Data Modelling Master Class that Steve Hoberman teaches onsite and through public classes. The Master Class is a complete course on requirements gathering and data modelling, containing four days of practical techniques for producing solid relational and dimensional data models. After learning the styles and steps in gathering and modelling requirements, you will apply a best practices approach to building and validating data models through the Data Model Scorecard(r). You will know not just how to build a data model, but also how to build a data model well.

• Training

Challenging exercises and workshops will reinforce the material and enable you to apply these techniques in your current projects. By the end of the course, you will know how To: Read a data model of any size and complexity; Validate any data model with the Data Model Scorecard(r); Build relational and dimensional subject area, logical, and physical data models; Use abstraction; Gather requirements; Leverage a series of templates for capturing requirements; Write clear, complete, and correct definitions; Explain the critical factors that must be in place for a successful enterprise data model. Author by: Steve HobermanLanguange: enPublisher by: Technics PublicationsFormat Available: PDF, ePub, MobiTotal Read: 44Total Download: 565File Size: 44,6 MbDescription: Build a working knowledge of data modeling concepts and best practices, along with how to apply these principles with ER/Studio. This second edition includes numerous updates and new sections including an overview of ER/Studio’s support for agile development, as well as a description of some of ER/Studio’s newer features for NoSQL, such as MongoDB’s containment structure. Author by: Steve HobermanLanguange: enPublisher by: Technics PublicationsFormat Available: PDF, ePub, MobiTotal Read: 22Total Download: 763File Size: 50,6 MbDescription: Data Modeling Made Simple with PowerDesigner will provide the business or IT professional with a practical working knowledge of data modeling concepts and best practices, and how to apply these principles with PowerDesigner.

Data Modeling SAP® Sybase® PowerDesigner. Data Modeling 3. SAP.

You'll build many PowerDesigner data models along the way, increasing your skills first with the fundamentals and later with more advanced feature of PowerDesigner. This book combines real-world experience and best practices to help you master the following ten objectives: This book has ten key objectives for you, the reader: 1. You will know when a data model is needed and which PowerDesigner models are the most appropriate for each situation 2. You will be able to read a data model of any size and complexity with the same confidence as reading a book 3. You will know when to apply and how to make use of all the key features of PowerDesigner 4. You will be able to build, step-by-step in PowerDesigner, a pyramid of linked data models, including a conceptual data model, a fully normalized relational data model, a physical data model, and an easily navigable dimensional model 5. You will be able to apply techniques such as indexing, transforms, and forward engineering to turn a logical data model into an efficient physical design 6.

You will improve data governance and modeling consistency within your organization by leveraging features such as PowerDesigner’s reference models, Glossary, domains, and model comparison and model mapping techniques 7. You will know how to utilize dependencies and traceability links to assess the impact of change 8. You will know how to integrate your PowerDesigner models with externally-managed files, including the import and export of data using Excel and Requirements documents 9.

You will know where you can take advantage of the entire PowerDesigner model set, to increase the success rate of corporate-wide initiatives such as business intelligence and enterprise resource planning (ERP) 10. You will understand the key differentiators between PowerDesigner and other data modeling tools you may have used before This book contains seven sections: Section I introduces data modeling, along with its purpose and variations.

Section II explains all of the components on a data model including entities, data elements, relationships, and keys. Also included is a discussion of the importance of quality names and definitions for your objects. Section III explains the important role of data modeling tools, the key features required of any data modeling tool, and an introduction to the essential features of PowerDesigner. It also describes how to create and manage data modeling objects in PowerDesigner.

Section IV introduces the Data Model Pyramid, then dives into the relational and dimensional subject areas, logical, and physical data models, and describes how PowerDesigner supports these models and the connections between them. Section V guides you through the creation of your own Data Model Pyramid. Section VI focuses on additional PowerDesigner features (some of which have already been introduced) that make life easier for data modelers.

Learn how to get information into and out of PowerDesigner, and improve the quality of your data models with a cross-reference of key PowerDesigner features with the Data Model Scorecard®. Section VII discusses PowerDesigner topics beyond data modeling, including the XML physical model and the other types of model available in PowerDesigner. Author by: Sibsankar HaldarLanguange: enPublisher by: Sibsankar HaldarFormat Available: PDF, ePub, MobiTotal Read: 16Total Download: 288File Size: 52,7 MbDescription: A preliminary edition of this book was published from O'Reilly (ISBN 066). SQLite is a small, embeddable, SQL-based, relational database management system. It has been widely used in low- to medium-tier database applications, especially in embedded devices. This book provides a comprehensive description of SQLite database system. It describes design principles, engineering trade-offs, implementation issues, and operations of SQLite.

Author by: PowellLanguange: enPublisher by: John Wiley & SonsFormat Available: PDF, ePub, MobiTotal Read: 50Total Download: 135File Size: 44,7 MbDescription: Praise for Modeling for Insight 'Most books on modeling are either too theoretical or toofocused on the mechanics of programming. Powell and Batt's emphasison using simple spreadsheet models to gain business insight (whichis, after all, the name of the game) is what makes this book standhead and shoulders above the rest. This clear and practical bookdeserves a place on the shelf of every business analyst.' —Jonathan Koomey, PhD, Lawrence Berkeley National Laboratoryand Stanford University, author of Turning Numbers intoKnowledge: Mastering the Art of Problem Solving Most business analysts are familiar with using spreadsheets toorganize data and build routine models.

However, analysts oftenstruggle when faced with examining new and ill-structured problems.Modeling for Insight is a one-of-a-kind guide to buildingeffective spreadsheet models and using them to generate insights.With its hands-on approach, this book provides readers with aneffective modeling process and specific modeling tools to become amaster modeler. The authors provide a structured approach to problem-solvingusing four main steps: frame the problem, diagram the problem,build a model, and generate insights. Extensive examples, graduatedin difficulty, help readers to internalize this modeling process,while also demonstrating the application of important modelingtools, including: Influence diagrams Spreadsheet engineering Parameterization Sensitivity analysis Strategy analysis Iterative modeling The real-world examples found in the book are drawn from a widerange of fields such as financial planning, insurance,pharmaceuticals, advertising, and manufacturing. Each chapterconcludes with a discussion on how to use the insights drawn fromthese models to create an effective business presentation.Microsoft Office Excel and PowerPoint are used throughout the book,along with the add-ins Premium Solver, Crystal Ball, andSensitivity Toolkit.

Detailed appendices guide readers through theuse of these software packages, and the spreadsheet modelsdiscussed in the book are available to download via the book'srelated Web site. Modeling for Insight is an ideal book forcourses in engineering, operations research, and management scienceat the upper-undergraduate and graduate levels. It is also avaluable resource for consultants and business analysts who oftenuse spreadsheets to better understand complex problems.

Author by: Geert VerbekeLanguange: enPublisher by: Springer Science & Business MediaFormat Available: PDF, ePub, MobiTotal Read: 27Total Download: 893File Size: 45,7 MbDescription: This book provides a comprehensive treatment of linear mixed models for continuous longitudinal data. Next to model formulation, this edition puts major emphasis on exploratory data analysis for all aspects of the model, such as the marginal model, subject-specific profiles, and residual covariance structure. Further, model diagnostics and missing data receive extensive treatment. Sensitivity analysis for incomplete data is given a prominent place. Most analyses were done with the MIXED procedure of the SAS software package, but the data analyses are presented in a software-independent fashion. Author by: Toby J. TeoreyLanguange: enPublisher by: ElsevierFormat Available: PDF, ePub, MobiTotal Read: 9Total Download: 743File Size: 55,8 MbDescription: Database Modeling and Design, Fourth Edition, the extensively revised edition of the classic logical database design reference, explains how you can model and design your database application in consideration of new technology or new business needs.

It is an ideal text for a stand-alone data management course focused on logical database design, or a supplement to an introductory text for introductory database management. This book 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. The text takes a detailed look at the Unified Modeling Language (UML-2) as well as the entity-relationship (ER) approach for data requirements specification and conceptual modeling - complemented with examples for both approaches.

It also discusses the use of data modeling concepts in logical database design; the transformation of the conceptual model to the relational model and to SQL syntax; the fundamentals of database normalization through the fifth normal form; and the major issues in business intelligence such as data warehousing, OLAP for decision support systems, and data mining. There are examples for how to use the most popular CASE tools to handle complex data modeling problems, along with exercises that test understanding of all material, plus solutions for many exercises. Lecture notes and a solutions manual are also available. This edition will appeal to professional data modelers and database design professionals, including database application designers, and database administrators (DBAs); new/novice data management professionals, such as those working on object oriented database design; and students in second courses in database focusing on design. + a detailed look at the Unified Modeling Language (UML-2) as well as the entity-relationship (ER) approach for data requirements specification and conceptual modeling-with examples throughout the book in both approaches!

+ the details and examples of how to use data modeling concepts in logical database design, and the transformation of the conceptual model to the relational model and to SQL syntax; + the fundamentals of database normalization through the fifth normal form; + practical coverage of the major issues in business intelligence-data warehousing, OLAP for decision support systems, and data mining; + examples for how to use the most popular CASE tools to handle complex data modeling problems. + Exercises that test understanding of all material, plus solutions for many exercises.

Author by: C. Jeff WuLanguange: enPublisher by: John Wiley & SonsFormat Available: PDF, ePub, MobiTotal Read: 34Total Download: 595File Size: 49,8 MbDescription: Praise for the First Edition: 'If you. Want an up-to-date, definitive reference written by authors who have contributed much to this field, then this book is an essential addition to your library.' —Journal of the American Statistical Association Fully updated to reflect the major progress in the use of statistically designed experiments for product and process improvement, Experiments, Second Edition introduces some of the newest discoveries—and sheds further light on existing ones—on the design and analysis of experiments and their applications in system optimization, robustness, and treatment comparison. Maintaining the same easy-to-follow style as the previous edition while also including modern updates, this book continues to present a new and integrated system of experimental design and analysis that can be applied across various fields of research including engineering, medicine, and the physical sciences. The authors modernize accepted methodologies while refining many cutting-edge topics including robust parameter design, reliability improvement, analysis of non-normal data, analysis of experiments with complex aliasing, multilevel designs, minimum aberration designs, and orthogonal arrays.

Training

Along with a new chapter that focuses on regression analysis, the Second Edition features expanded and new coverage of additional topics, including: Expected mean squares and sample size determination One-way and two-way ANOVA with random effects Split-plot designs ANOVA treatment of factorial effects Response surface modeling for related factors Drawing on examples from their combined years of working with industrial clients, the authors present many cutting-edge topics in a single, easily accessible source. Extensive case studies, including goals, data, and experimental designs, are also included, and the book's data sets can be found on a related FTP site, along with additional supplemental material.

Chapter summaries provide a succinct outline of discussed methods, and extensive appendices direct readers to resources for further study. Experiments, Second Edition is an excellent book for design of experiments courses at the upper-undergraduate and graduate levels. It is also a valuable resource for practicing engineers and statisticians.