Control Systems Design of Bio-Robotics and Bio-Mechatronics with Advanced Applications delivers essential and advanced bioengineering information on the application of control and robotics technologies in the life sciences. Judging by what we have witnessed so far, this exciting field of control systems and robotics in bioengineering is likely to produce revolutionary breakthroughs over the next decade. While this book is intended for senior undergraduate or graduate students in both control engineering and biomedical engineering programs, it will also appeal to medical researchers and practitioners who want to enhance their quantitative understanding of physiological processes.
Автор: Blaha Michael Название: UML Database Modeling Workbook ISBN: 1935504517 ISBN-13(EAN): 9781935504511 Издательство: Gazelle Book Services Рейтинг: Цена: 8792.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
With our appetites for data on the rise, it has become more important than ever to use UML (Unified Modeling 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 modelers can leverage their understanding of existing database notations, as the book extensively compares the UML to traditional data modeling (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 modeling.
This book is concise and to the point. You will learn by induction through reading, practice, and feedback.
Описание: How do we design for data when traditional design techniques cannot extend to new database technologies? In this era of big data and the Internet of Things, it is essential that we have the tools we need to understand the data coming to us faster than ever before, and to design databases and data processing systems that can adapt easily to ever-changing data schemas and ever-changing business requirements. There must be no intellectual disconnect between data and the software that manages it. It must be possible to extract meaning and knowledge from data to drive artificial intelligence applications. Novel NoSQL data organization techniques must be used side-by-side with traditional SQL databases. Are existing data modeling techniques ready for all of this? The Concept and Object Modeling Notation (COMN) is able to cover the full spectrum of analysis and design. A single COMN model can represent the objects and concepts in the problem space, logical data design, and concrete NoSQL and SQL document, key-value, columnar, and relational database implementations. COMN models enable an unprecedented level of traceability of requirements to implementation. COMN models can also represent the static structure of software and the predicates that represent the patterns of meaning in databases. This book will teach you: the simple and familiar graphical notation of COMN with its three basic shapes and four line styles; how to think about objects, concepts, types, and classes in the real world, using the ordinary meanings of English words that arent tangled with confused techno-speak; how to express logical data designs that are freer from implementation considerations than is possible in any other notation; how to understand key-value, document, columnar, and table-oriented database designs in logical and physical terms; how to use COMN to specify physical database implementations in any NoSQL or SQL database with the precision necessary for model-driven development. A quick reference guide to COMN is included in an appendix. The full notation reference is available at http://www.tewdur.com/
Автор: Halpin, Terry Название: Object-role modeling fundamentals ISBN: 1634620747 ISBN-13(EAN): 9781634620741 Издательство: Gazelle Book Services Рейтинг: Цена: 8792.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Object-Role Modeling (ORM) is a fact-based approach to data modelling that expresses the information requirements of any business domain simply in terms of objects that play roles in relationships. All facts of interest are treated as instances of attribute-free structures known as fact types, where the relationship may be unary (eg: Person smokes), binary (eg: Person was born on Date), ternary (eg: Customer bought Product on Date), or longer. Fact types facilitate natural expression, are easy to populate with examples for validation purposes, and have greater semantic stability than attribute-based structures such as those used in Entity Relationship Modeling (ER) or the Unified Modeling Language (UML). All relevant facts, constraints and derivation rules are expressed in controlled natural language sentences that are intelligible to users in the business domain being modeled. This allows ORM data models to be validated by business domain experts who are unfamiliar with ORMs graphical notation. For the data modeler, ORMs graphical notation covers a much wider range of constraints than can be expressed in industrial ER or UML class diagrams, and thus allows rich visualisation of the underlying semantics. Suitable for both novices and experienced practitioners, this book covers the fundamentals of the ORM approach. Written in easy-to-understand language, it shows how to design an ORM model, illustrating each step with simple examples. Each chapter ends with a practical lab that discusses how to use the freeware NORMA tool to enter ORM models and use it to automatically generate verbalisations of the model and map it to a relational database.
Автор: Hoberman, Steve Название: Data modeling master class training manual ISBN: 1634621948 ISBN-13(EAN): 9781634621946 Издательство: Gazelle Book Services Рейтинг: Цена: 42683.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This is the seventh edition of the training manual for the Data Modeling Master Class that Steve Hoberman teaches onsite and through public classes. This text can be purchased prior to attending the Master Class, the latest course schedule and detailed description can be found on Steve Hobermans website, stevehoberman.com. The Master Class is a complete data modeling course, containing three days of practical techniques for producing conceptual, logical, and physical relational and dimensional and NoSQL data models. After learning the styles and steps in capturing and modelling requirements, you will apply a best practices approach to building and validating data models through the Data Model Scorecard®. You will know not just how to build a data model, but how to build a data model well. Two case studies and many exercises reinforce the material and will enable you to apply these techniques in your current projects. Top 10 Objectives: 1. Explain data modeling components and identify them on your projects by following a question-driven approach; 2. Demonstrate reading a data model of any size and complexity with the same confidence as reading a book; 3. Validate any data model with key settings (scope, abstraction, timeframe, function, and format) as well as through the Data Model Scorecard®; 4. Apply requirements elicitation techniques including interviewing, artefact analysis, prototyping, and job shadowing; 5. Build relational and dimensional conceptual and logical data models, and know the tradeoffs on the physical side for both RDBMS and NoSQL solutions; 6.Practice finding structural soundness issues and standards violations; 7. Recognise when to use abstraction and where patterns and industry data models can give us a great head start; 8. Use a series of templates for capturing and validating requirements, and for data profiling; 9. Evaluate definitions for clarity, completeness, and correctness ; 10. Leverage the Data Vault and enterprise data model for a successful enterprise architecture.
Автор: Janusz Sobecki; Veera Boonjing; Suphamit Chittayas Название: Advanced Approaches to Intelligent Information and Database Systems ISBN: 331905502X ISBN-13(EAN): 9783319055022 Издательство: Springer Рейтинг: Цена: 22203.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The book is organized in four parts devoted to intelligent systems models and methods, intelligent systems advanced applications, database systems methods and applications and multimedia systems methods and applications.
Описание: "This book focuses on technologies and methodologies of database queries, XML and metadata queries, and applications of database query systems, aiming at providing a single account of technologies and practices in advanced database query systems"--Provided by publisher.
Описание: Object-Role Modeling (ORM) is a fact-based approach to data modelling that expresses the information requirements of any business domain simply in terms of objects that play roles in relationships. All facts of interest are treated as instances of attribute-free structures known as fact types, where the relationship may be unary (eg: Person smokes), binary (eg: Person was born on Date), ternary (eg: Customer bought Product on Date), or longer. Fact types facilitate natural expression, are easy to populate with examples for validation purposes, and have greater semantic stability than attribute-based structures such as those used in Entity Relationship Modeling (ER) or the Unified Modeling Language (UML). All relevant facts, constraints and derivation rules are expressed in controlled natural language sentences that are intelligible to users in the business domain being modelled. This allows ORM data models to be validated by business domain experts who are unfamiliar with ORMs graphical notation. For the data modeller, ORMs graphical notation covers a much wider range of constraints than can be expressed in industrial ER or UML class diagrams, and thus allows rich visualisation of the underlying semantics. Written as a sequel to the authors previous book "Object-Role Modeling Fundamentals", this book briefly reviews the fundamentals of ORM, and then discusses additional topics such as model reports generation, vocabulary glossaries, relational mapping options, annotated relational schemas, schema optimisation, and data modelling patterns. Written in easy-to-understand language, it illustrates each topic with simple examples, and explains how to use the freeware NORMA tool to implement the ideas discussed. The book also includes many practical exercises to promote expertise in the techniques covered, with answers provided to all the exercise questions.
Описание: This is a book about Microsoft 365 Excel, or Excel 365. With a new formula calculations engine and many new built-in functions, creating formula solutions and business models in Excel 365 is dramatically easier than at any time in the history of spreadsheets. In addition, with the new data tools like Power Query, Power Pivot, and Power BI, performing data analysis to make data driven decisions can be easily done on data with different structures, with different sources, and on small and big data alike. With this exciting new Excel 365 version, we will learn three types for formulas: Worksheet, M Code, and DAX, and we will learn three types of Reporting/Dashboarding tools: Standard PivotTables, Data Model PivotTables, and Power BI Visualizations. This means that the New Excel 365 is the only app that matters in our age of analytics and data driven decisions. Who is this book/class for? Everyone. The book starts at the beginning and moves to an advanced level by telling a logical story about how to use Excel to solve calculation-based problems and answer crucial questions.
Автор: Cunningham Bella Название: Database Systems: Design, Implementation and Management ISBN: 1632407922 ISBN-13(EAN): 9781632407924 Издательство: Неизвестно Рейтинг: Цена: 24292.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Joy Arulraj, Andrew Pavlo Название: Non-Volatile Memory Database Management Systems ISBN: 1681734869 ISBN-13(EAN): 9781681734866 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 13999.00 р. Наличие на складе: Нет в наличии.
Описание: This book explores the implications of non-volatile memory (NVM) for database management systems (DBMSs). The advent of NVM will fundamentally change the dichotomy between volatile memory and durable storage in DBMSs. These new NVM devices are almost as fast as volatile memory, but all writes to them are persistent even after power loss. Existing DBMSs are unable to take full advantage of this technology because their internal architectures are predicated on the assumption that memory is volatile. With NVM, many of the components of legacy DBMSs are unnecessary and will degrade the performance of data-intensive applications. We present the design and implementation of DBMS architectures that are explicitly tailored for NVM. The book focuses on three aspects of a DBMS: (1) logging and recovery, (2) storage and buffer management, and (3) indexing. First, we present a logging and recovery protocol that enables the DBMS to support near-instantaneous recovery. Second, we propose a storage engine architecture and buffer management policy that leverages the durability and byte-addressability properties of NVM to reduce data duplication and data migration. Third, the book presents the design of a range index tailored for NVM that is latch-free yet simple to implement. All together, the work described in this book illustrates that rethinking the fundamental algorithms and data structures employed in a DBMS for NVM improves performance and availability, reduces operational cost, and simplifies software development.
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