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Art, Design and Technology: Collaboration and Implementation
This book examines how digital technology is being used to assist the artists and designers.The computer is able to store data and reproduce designs, thus facilitating the speed-up of the iterative process towards a final design which meets the objectives of the designer and the requirements of the user.Collaborative design enables the sharing of information across digital networks to produce designed objects in virtual spaces.Augmented and virtual reality techniques can be used to preview designs before they are finalized and implemented. Art and design have shaped the values, social structures, communications, and the culture of communities and civilisations.The direct involvement of artists and designers with their creative works has left a legacy enabling subsequent generations to understand more about their skills, their motivations, and their relationship to the wider world, and to see it from a variety of perspectives.This in turn causes the viewers of their works to reflect upon their meaning for today and the lasting value and implications of what has been created. Art installations are harnessing modern technology to process information and to display it.Such environments have also proved useful in engaging users and visitors with real-time images and interactive art.
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High Performance Parallel Runtimes : Design and Implementation
This book focuses on the theoretical and practical aspects of parallel programming systems for today's high performance multi-core processors and discusses the efficient implementation of key algorithms needed to implement parallel programming models.Such implementations need to take into account the specific architectural aspects of the underlying computer architecture and the features offered by the execution environment. This book briefly reviews key concepts of modern computer architecture, focusing particularly on the performance of parallel codes as well as the relevant concepts in parallel programming models.The book then turns towards the fundamental algorithms used to implement the parallel programming models and discusses how they interact with modern processors. While the book will focus on the general mechanisms, we will mostly use the Intel processor architecture to exemplify the implementation concepts discussed but will present other processor architectures where appropriate.All algorithms and concepts are discussed in an easy to understand way with many illustrative examples, figures, and source code fragments. The target audience of the book is students in Computer Science who are studying compiler construction, parallel programming, or programming systems.Software developers who have an interest in the core algorithms used to implement a parallel runtime system, or who need to educate themselves for projects that require the algorithms and concepts discussed in this book will also benefit from reading it. You can find the source code for this book at https://github.com/parallel-runtimes/lomp.
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Innovation Management : Effective strategy and implementation
The new edition of this highly successful textbook draws on the authors’ extensive industry experience and academic research to provide a concise and practical approach to developing and implementing strategies.Offering a highly readable text alongside an effective mix of theory, case studies and updated pedagogical features, the book covers both strategic and managerial elements of innovation.The tools described by the well-respected and authoritative author team can be used to improve performance in both service and manufacturing companies, and the text is an excellent practical resource for students and managers alike.This textbook caters primarily for MBA and executive students of Innovation Management.In addition, it is an essential text for upper level undergraduate and postgraduate students of Innovation Management, as well as for practitioners seeking to enhance their understanding of the subject. New to this Edition:- Updated and expanded coverage throughout based on a review of over 250 key publications on innovation management- 86 international case studies that illustrate both the theory and practice of managing innovation- Video interviews on the companion website to accompany case studies from each chapter, featuring high-profile business managers from around the world- Reflective questions for students at the end of each chapter, with suggested answers on the companion website
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Sustainable Business Models : Innovation, Implementation and Success
This book provides a comprehensive exploration into the identification and development of sustainable business models as well as their implementation, management and evaluation.With ever-increasing pressure on organisations to respond to societal change and improve competition through sustainable business model innovation (SBMI), this book aims to contribute to the knowledge of their design and management.The chapters explore the role of partnerships, the Internet of Things and the circular economy, among other factors, in developing SBM and how SBMI is facilitated through ideation and in entrepreneurial settings.Providing new typologies, patterns and a framework to evaluate the level of sustainability of business models, this book critically reviews existing literature on the topic to examine the potential of SBMI in research and in practice.The contributing authors employ a number of case studies and case examples to illustrate the integration of sustainable business models throughout the value chain, and their influence on wider social, environmental and business activities.
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Relational Database Design and Implementation
Relational Database Design and Implementation: Clearly Explained, Fourth Edition, provides the conceptual and practical information necessary to develop a database design and management scheme that ensures data accuracy and user satisfaction while optimizing performance. Database systems underlie the large majority of business information systems.Most of those in use today are based on the relational data model, a way of representing data and data relationships using only two-dimensional tables.This book covers relational database theory as well as providing a solid introduction to SQL, the international standard for the relational database data manipulation language. The book begins by reviewing basic concepts of databases and database design, then turns to creating, populating, and retrieving data using SQL.Topics such as the relational data model, normalization, data entities, and Codd's Rules (and why they are important) are covered clearly and concisely.In addition, the book looks at the impact of big data on relational databases and the option of using NoSQL databases for that purpose.
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Database Systems: Design, Implementation, & Management
Database skills are among the most in-demand IT skills.With its practical, accessible approach, Coronel/Morris' market-leading DATABASE SYSTEMS: DESIGN, IMPLEMENTATION, & MANAGEMENT, 14th edition, equips you with a solid foundation in database design and implementation for today's market.The authors blend foundational theory, the latest real-world practices and the skills employers want.Straightforward writing and vivid illustrations make even complex concepts easy to understand.You'll learn the key to successful database implementation as you study how to properly design databases that fit within the larger strategic data environment.Expanded coverage includes big data analytics, NoSQL and data visualization technologies.In addition, the MindTap digital platform gives you real-world, hands-on practice to help you prepare for a successful career in database design and management.
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Database Design and Implementation : Second Edition
This textbook examines database systems from the viewpoint of a software developer.This perspective makes it possible to investigate why database systems are the way they are.It is of course important to be able to write queries, but it is equally important to know how they are processed.We e.g. don’t want to just use JDBC; we also want to know why the API contains the classes and methods that it does.We need a sense of how hard is it to write a disk cache or logging facility. And what exactly is a database driver, anyway?The first two chapters provide a brief overview of database systems and their use.Chapter 1 discusses the purpose and features of a database system and introduces the Derby and SimpleDB systems.Chapter 2 explains how to write a database application using Java.It presents the basics of JDBC, which is the fundamental API for Java programs that interact with a database.In turn, Chapters 3-11 examine the internals of a typical database engine.Each chapter covers a different database component, starting with the lowest level of abstraction (the disk and file manager) and ending with the highest (the JDBC client interface); further, the respective chapter explains the main issues concerning the component, and considers possible design decisions.As a result, the reader can see exactly what services each component provides and how it interacts with the other components in the system.By the end of this part, s/he will have witnessed the gradual development of a simple but completely functional system.The remaining four chapters then focus on efficient query processing, and focus on the sophisticated techniques and algorithms that can replace the simple design choices described earlier.Topics include indexing, sorting, intelligent buffer usage, and query optimization. This text is intended for upper-level undergraduate or beginning graduate courses in Computer Science.It assumes that the reader is comfortable with basic Java programming; advanced Java concepts (such as RMI and JDBC) are fully explained in the text.The respective chapters are complemented by “end-of-chapter readings” that discuss interesting ideas and research directions that went unmentioned in the text, and provide references to relevant web pages, research articles, reference manuals, and books.Conceptual and programming exercises are also included at the end of each chapter. Students can apply their conceptual knowledge by examining the SimpleDB (a simple but fully functional database system created by the author and provided online) code and modifying it.
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Data Warehouse Systems : Design and Implementation
With this textbook, Vaisman and Zimányi deliver excellent coverage of data warehousing and business intelligence technologies ranging from the most basic principles to recent findings and applications.To this end, their work is structured into three parts.Part I describes “Fundamental Concepts” including conceptual and logical data warehouse design, as well as querying using MDX, DAX and SQL/OLAP.This part also covers data analytics using Power BI and Analysis Services.Part II details “Implementation and Deployment,” including physical design, ETL and data warehouse design methodologies.Part III covers “Advanced Topics” and it is almost completely new in this second edition.This part includes chapters with an in-depth coverage of temporal, spatial, and mobility data warehousing.Graph data warehouses are also covered in detail using Neo4j.The last chapter extensively studies big data management and the usage of Hadoop, Spark, distributed, in-memory, columnar, NoSQL and NewSQLdatabase systems, and data lakes in the context of analytical data processing. As a key characteristic of the book, most of the topics are presented and illustrated using application tools.Specifically, a case study based on the well-known Northwind database illustrates how the concepts presented in the book can be implemented using Microsoft Analysis Services and Power BI.All chapters have been revised and updated to the latest versions of the software tools used.KPIs and Dashboards are now also developed using DAX and Power BI, and the chapter on ETL has been expanded with the implementation of ETL processes in PostgreSQL.Review questions and exercises complement each chapter to support comprehensive student learning.Supplemental material to assist instructors using this book as a course text is available online and includes electronic versions of the figures, solutions to all exercises, and a set of slides accompanying each chapter. Overall, students, practitioners and researchers alike will find this book the most comprehensive reference work on data warehouses, with key topics described in a clear and educational style. “I can only invite you to dive into the contents of the book, feeling certain that once you have completed its reading (or maybe, targeted parts of it), you will join me in expressing our gratitude to Alejandro and Esteban, for providing such a comprehensive textbook for the field of data warehousing in the first place, and for keeping it up to date with the recent developments, in this current second edition.”From the foreword by Panos Vassiliadis, University of Ioannina, Greece.
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