Advertisement
| entity relationship diagram arrows: Learning MySQL Seyed Tahaghoghi, Hugh E. Williams, 2007-11-28 This new book in the popular Learning series offers an easy-to-use resource for newcomers to the MySQL relational database. This tutorial explains in plain English how to set up MySQL and related software from the beginning, and how to do common tasks. |
| entity relationship diagram arrows: Entity-Relationship Modeling Bernhard Thalheim, 2013-03-09 This book is a comprehensive presentation of entity-relationship (ER) modeling with regard to an integrated development and modeling of database applications. It comprehensively surveys the achievements of research in this field and deals with the ER model and its extensions. In addition, the book presents techniques for the translation of the ER model into classical database models and languages, such as relational, hierarchical, and network models and languages, as well as into object-oriented models. |
| entity relationship diagram arrows: UML Distilled Martin Fowler, 2018-08-30 More than 300,000 developers have benefited from past editions of UML Distilled . This third edition is the best resource for quick, no-nonsense insights into understanding and using UML 2.0 and prior versions of the UML. Some readers will want to quickly get up to speed with the UML 2.0 and learn the essentials of the UML. Others will use this book as a handy, quick reference to the most common parts of the UML. The author delivers on both of these promises in a short, concise, and focused presentation. This book describes all the major UML diagram types, what they're used for, and the basic notation involved in creating and deciphering them. These diagrams include class, sequence, object, package, deployment, use case, state machine, activity, communication, composite structure, component, interaction overview, and timing diagrams. The examples are clear and the explanations cut to the fundamental design logic. Includes a quick reference to the most useful parts of the UML notation and a useful summary of diagram types that were added to the UML 2.0. If you are like most developers, you don't have time to keep up with all the new innovations in software engineering. This new edition of Fowler's classic work gets you acquainted with some of the best thinking about efficient object-oriented software design using the UML--in a convenient format that will be essential to anyone who designs software professionally. |
| entity relationship diagram arrows: Visualising Business Transformation Jonathan Whelan, Stephen Whitla, 2020-01-24 Business transformation typically involves a wide range of visualisation techniques, from the templates and diagrams used by managers to make better strategic choices, to the experience maps used by designers to understand customer needs, the technical models used by architects to propose possible solutions, and the pictorial representations used by change managers to engage stakeholder groups in dialogue. Up until now these approaches have always been dealt with in isolation, in the literature as well as in practice. This is surprising, because although they can look very different, and tend to be produced by distinct groups of people, they are all modelling different aspects of the same thing. Visualising Business Transformation draws them together for the first time into a coherent whole, so that readers from any background can expand their repertoire and understand the context and rationale for each technique across the transformation lifecycle. The book will appeal to a broad spectrum of readers involved in change, whether that is by creating change models themselves (strategists, architects, designers, engineers, business analysts, developers, illustrators, graphic facilitators, etc.), interpreting and using them (sponsors, business change managers, portfolio/programme/project managers, communicators, change champions, etc.), or supporting those involved in change indirectly (trainers, coaches, mentors, higher education establishments and professional training facilities). |
| entity relationship diagram arrows: Handbook of Conceptual Modeling David W. Embley, Bernhard Thalheim, 2012-04-23 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. |
| entity relationship diagram arrows: Readings in Artificial Intelligence and Databases John Mylopoulos, Michael L. Brodie, 2014-06-28 The interaction of database and AI technologies is crucial to such applications as data mining, active databases, and knowledge-based expert systems. This volume collects the primary readings on the interactions, actual and potential, between these two fields. The editors have chosen articles to balance significant early research and the best and most comprehensive articles from the 1980s. An in-depth introduction discusses basic research motivations, giving a survey of the history, concepts, and terminology of the interaction. Major themes, approaches and results, open issues and future directions are all discussed, including the results of a major survey conducted by the editors of current work in industry and research labs. Thirteen sections follow, each with a short introduction. Topics examined include semantic data models with emphasis on conceptual modeling techniques for databases and information systems and the integration of data model concepts in high-level data languages, definition and maintenance of integrity constraints in databases and knowledge bases, natural language front ends, object-oriented database management systems, implementation issues such as concurrency control and error recovery, and representation of time and knowledge incompleteness from the viewpoints of databases, logic programming, and AI. |
| entity relationship diagram arrows: Relational Database Design and Implementation Jan L. Harrington, 2009-09-02 Fully revised, updated, and expanded, Relational Database Design and Implementation, Third Edition is the most lucid and effective introduction to the subject available for IT/IS professionals interested in honing their skills in database design, implementation, and administration. This book provides the conceptual and practical information necessary to develop a design and management scheme that ensures data accuracy and user satisfaction while optimizing performance, regardless of experience level or choice of DBMS.The book begins by reviewing basic concepts of databases and database design, then briefly reviews the SQL one would use to create databases. Topics such as the relational data model, normalization, data entities and Codd's Rules (and why they are important) are covered clearly and concisely but without resorting to Dummies-style talking down to the reader.Supporting the book's step-by-step instruction are three NEW case studies illustrating database planning, analysis, design, and management practices. In addition to these real-world examples, which include object-relational design techniques, an entirely NEW section consisting of three chapters is devoted to database implementation and management issues. - Principles needed to understand the basis of good relational database design and implementation practices - Examples to illustrate core concepts for enhanced comprehension and to put the book's practical instruction to work - Methods for tailoring DB design to the environment in which the database will run and the uses to which it will be put - Design approaches that ensure data accuracy and consistency - Examples of how design can inhibit or boost database application performance - Object-relational design techniques, benefits, and examples - Instructions on how to choose and use a normalization technique - Guidelines for understanding and applying Codd's rules - Tools to implement a relational design using SQL - Techniques for using CASE tools for database design |
| entity relationship diagram arrows: Theory and Application of Diagrams Michael Anderson, Peter Cheng, Volker Haarslev, 2003-07-31 Diagrams 2000 is dedicated to the memory of Jon Barwise. Diagrams 2000 was the ?rst event in a new interdisciplinary conference series on the Theory and Application of Diagrams. It was held at the University of Edinburgh, Scotland, September 1-3, 2000. Driven by the pervasiveness of diagrams in human communication and by the increasing availability of graphical environments in computerized work, the study of diagrammatic notations is emerging as a research ?eld in its own right. This development has simultaneously taken place in several scienti?c disciplines, including, amongst others: cognitive science, arti?cial intelligence, and computer science. Consequently, a number of di?erent workshop series on this topic have been successfully organized during the last few years: Thinking with Diagrams, Theory of Visual Languages, Reasoning with Diagrammatic Representations, and Formalizing Reasoning with Visual and Diagrammatic Representations. Diagrams are simultaneously complex cognitive phenonema and sophis- cated computational artifacts. So, to be successful and relevant the study of diagrams must as a whole be interdisciplinary in nature. Thus, the workshop series mentioned above decided to merge into Diagrams 2000, as the single - terdisciplinary conference for this exciting new ?eld. It is intended that Diagrams 2000 should become the premier international conference series in this area and provide a forum with su?cient breadth of scope to encompass researchers from all academic areas who are studying the nature of diagrammatic representations and their use by humans and in machines. |
| entity relationship diagram arrows: Software Pioneers Manfred Broy, Ernst Denert, 2012-12-06 A lucid statement of the philosophy of modular programming can be found in a 1970 textbook on the design of system programs by Gouthier and Pont [1, l Cfl0. 23], which we quote below: A well-defined segmentation of the project effort ensures system modularity. Each task fonos a separate, distinct program module. At implementation time each module and its inputs and outputs are well-defined, there is no confusion in the intended interface with other system modules. At checkout time the in tegrity of the module is tested independently; there are few sche duling problems in synchronizing the completion of several tasks before checkout can begin. Finally, the system is maintained in modular fashion; system errors and deficiencies can be traced to specific system modules, thus limiting the scope of detailed error searching. Usually nothing is said about the criteria to be used in dividing the system into modules. This paper will discuss that issue and, by means of examples, suggest some criteria which can be used in decomposing a system into modules. A Brief Status Report The major advancement in the area of modular programming has been the development of coding techniques and assemblers which (1) allow one modu1e to be written with little knowledge of the code in another module, and (2) alJow modules to be reas sembled and replaced without reassembly of the whole system. |
| entity relationship diagram arrows: BUSINESS ENTITY-RELATIONSHIP MODEL ALBERTO GONZÁLEZ CARRASCO, LUIS MÜLLER HEIBERG, 2017-08-29 An entity-relationship approach to the business, a structured, systematic and intuitive business model of entities, relationships and key data for innovation, entrepreneurship and management. The Business Entity-Relationship Model (ERM) presented in this work enables: - acquire a logical and interrelated view of the key elements of the business and its application in the processes of innovation, entrepreneurship and business management - provide a new definition of the business concept, represent all businesses generically, their specific types and any particular business - redefine innovation more broadly, generate ideas and increase innovation capacity - tackle entrepreneurship with an integrated and interdependent vision of the key elements of the new business - plan, execute and control the business strategy against competitors in a sector of economic activity - identify the origin and understand the apparently complex, heterogeneous and abstract concepts used in business management and generate new key or strategic data in an organized and homogeneous form The new model is based on the Entity-Relationship technique, which allows the representation of the real world by elements called entities and relationships that occur between them. In addition, new concepts called supra-entities, supra-relationships and supra-attributes to cover the diversity of situations and perspectives existing in reality are proposed. |
| entity relationship diagram arrows: SQL Server Query Performance Tuning Grant Fritchey, 2014-09-16 Queries not running fast enough? Wondering about the in-memory database features in 2014? Tired of phone calls from frustrated users? Grant Fritchey’s book SQL Server Query Performance Tuning is the answer to your SQL Server query performance problems. The book is revised to cover the very latest in performance optimization features and techniques, especially including the newly-added, in-memory database features formerly known under the code name Project Hekaton. This book provides the tools you need to approach your queries with performance in mind. SQL Server Query Performance Tuning leads you through understanding the causes of poor performance, how to identify them, and how to fix them. You’ll learn to be proactive in establishing performance baselines using tools like Performance Monitor and Extended Events. You’ll learn to recognize bottlenecks and defuse them before the phone rings. You’ll learn some quick solutions too, but emphasis is on designing for performance and getting it right, and upon heading off trouble before it occurs. Delight your users. Silence that ringing phone. Put the principles and lessons from SQL Server Query Performance Tuning into practice today. Covers the in-memory features from Project Hekaton Helps establish performance baselines and monitor against them Guides in troubleshooting and eliminating of bottlenecks that frustrate users |
| entity relationship diagram arrows: Conceptual Database Design Carlo Batini, Stefano Ceri, Shamkant B. Navathe, 1992 This database design book provides the reader with a unique methodology for the conceptual and logical design of databases. A step-by-step method is given for developing a conceptual structure for large databases with multiple users. Additionally, the authors provide an up-to-date survey and analysis of existing database design tools. |
| entity relationship diagram arrows: Diagrammatic Reasoning in AI Robbie T. Nakatsu, 2009-11-19 Pioneering work shows how using Diagrams facilitates the design of better AI systems The publication of Diagrammatic Reasoning in AI marks an important milestone for anyone seeking to design graphical user interfaces to support decision-making and problem-solving tasks. The author expertly demonstrates how diagrammatic representations can simplify our interaction with increasingly complex information technologies and computer-based information systems. In particular, the book emphasizes how diagrammatic user interfaces can help us better understand and visualize artificial intelligence (AI) systems. It examines how diagrammatic reasoning enhances various AI programming strategies used to emulate human thinking and problem-solving, including: Expert systems Model-based reasoning Inexact reasoning such as certainty factors and Bayesian networks Logic reasoning A key part of the book is its extensive development of applications and graphical illustrations, drawing on such fields as the physical sciences, macroeconomics, finance, business logistics management, and medicine. Despite such tremendous diversity of usage, in terms of applications and diagramming notations, the book classifies and organizes diagrams around six major themes: system topology; sequence and flow; hierarchy and classification; association; cause and effect; and logic reasoning. Readers will benefit from the author's discussion of how diagrams can be more than just a static picture or representation and how diagrams can be a central part of an intelligent user interface, meant to be manipulated and modified, and in some cases, utilized to infer solutions to difficult problems. This book is ideal for many different types of readers: practitioners and researchers in AI and human-computer interaction; business and computing professionals; graphic designers and designers of graphical user interfaces; and just about anyone interested in understanding the power of diagrams. By discovering the many different types of diagrams and their applications in AI, all readers will gain a deeper appreciation of diagrammatic reasoning. |
| entity relationship diagram arrows: eBook: Database Systems Concepts 6e SILBERSCHATZ, 2010-06-16 eBook: Database Systems Concepts 6e |
| entity relationship diagram arrows: Conceptual Modeling - ER '96 Bernhard Thalheim, 1996-09-25 This volume constitutes the refereed proceedings of the 15th International Conference on Conceptual Modeling, ER '96, held in Cottbus, Germany, in October 1996. The volume presents three invited contributions together with 29 revised full papers selected from 110 submissions. The papers cover all current aspects of the entity-relationship approach and conceptual modeling; they are organized in sections on advanced schema design, processes, query languages, representation, integration, principles of database design, transformation, enhanced modelling, capturing design information, and evolution. |
| entity relationship diagram arrows: The FRBR Family of Conceptual Models Richard P. Smiraglia, Pat Riva, Maja Žumer, 2014-10-29 Since 1998 when FRBR (Functional Requirements for Bibliographic Records) was first published by IFLA, the effort to develop and apply FRBR has been extended in many innovative and experimental directions. Papers in this volume explain and expand upon the extended family of FRBR models including Functional Requirements for Authority Data (FRAD), Functional Requirements for Subject Authority Data (FRSAD), and the object-oriented version of FRBR known as FRBRoo. Readers will learn about dialogues between the FRBR Family and other modeling technologies, specific implementations and extensions of FRBR in retrieval systems, catalog codes employing FRBR, a wide variety of research that uses the FRBR model, and approaches to using FRBR for the Semantic Web. Librarians of all stripes as well as library and information science students and researchers can use this volume to bring their knowledge of the FRBR model and its implementation up to date. This book was published as a special issue of Cataloging & Classification Quarterly. |
| entity relationship diagram arrows: Data Modeling Essentials Graeme Simsion, Graham Witt, 2004-12-03 Data Modeling Essentials, Third Edition, covers the basics of data modeling while focusing on developing a facility in techniques, rather than a simple familiarization with the rules. In order to enable students to apply the basics of data modeling to real models, the book addresses the realities of developing systems in real-world situations by assessing the merits of a variety of possible solutions as well as using language and diagramming methods that represent industry practice. This revised edition has been given significantly expanded coverage and reorganized for greater reader comprehension even as it retains its distinctive hallmarks of readability and usefulness. Beginning with the basics, the book provides a thorough grounding in theory before guiding the reader through the various stages of applied data modeling and database design. Later chapters address advanced subjects, including business rules, data warehousing, enterprise-wide modeling and data management. It includes an entirely new section discussing the development of logical and physical modeling, along with new material describing a powerful technique for model verification. It also provides an excellent resource for additional lectures and exercises. This text is the ideal reference for data modelers, data architects, database designers, DBAs, and systems analysts, as well as undergraduate and graduate-level students looking for a real-world perspective. - Thorough coverage of the fundamentals and relevant theory - Recognition and support for the creative side of the process - Expanded coverage of applied data modeling includes new chapters on logical and physical database design - New material describing a powerful technique for model verification - Unique coverage of the practical and human aspects of modeling, such as working with business specialists, managing change, and resolving conflict |
| entity relationship diagram arrows: Process Configuration Karsten Schierholt, 2001 |
| entity relationship diagram arrows: Threat Modeling Izar Tarandach, Matthew J. Coles, 2020-11-13 Threat modeling is one of the most essential--and most misunderstood--parts of the development lifecycle. Whether you're a security practitioner or a member of a development team, this book will help you gain a better understanding of how you can apply core threat modeling concepts to your practice to protect your systems against threats. Contrary to popular belief, threat modeling doesn't require advanced security knowledge to initiate or a Herculean effort to sustain. But it is critical for spotting and addressing potential concerns in a cost-effective way before the code's written--and before it's too late to find a solution. Authors Izar Tarandach and Matthew Coles walk you through various ways to approach and execute threat modeling in your organization. Explore fundamental properties and mechanisms for securing data and system functionality Understand the relationship between security, privacy, and safety Identify key characteristics for assessing system security Get an in-depth review of popular and specialized techniques for modeling and analyzing your systems View the future of threat modeling and Agile development methodologies, including DevOps automation Find answers to frequently asked questions, including how to avoid common threat modeling pitfalls |
| entity relationship diagram arrows: New Technologies for Supercolliders L. Cifarelli, Thomas Ypsilantis, 2012-12-06 The present volume is based on the proceedings of the 12th Workshop of the INFN ELOISATRON Project, held at the Ettore Majorana Centre for Scientific Culture (EMCSC), Erice (frapani), Sicily, Italy, in the period September 15-20, 1990. The proceedings deal with the presentation of New Technologies for Supercolliders. Three new energy frontiers (16,40 and 200 TeV) are now opened up for the future of Subnuclear Physics. Basic problems above the Fermi-energy are crowding up: but no one knows the energy levels needed for their solution. This is why the technology for experiments with the new generation of Supercolliders needs to be pursued having in mind the problems which are of common interest in the three energy frontiers. The primary purpose of the Workshop was to contribute towards the highest energy limit in the search for new instruments and new technologies. Furthermore, the present status and performances of various detector technologies were reviewed. The possible options for a powerful apparatus whose goal would be the discovery of the top, Higgs and SUSY particles in a very high energy, high rate environment, were finally analysed. The Workshop was sponsored by the Italian National Institute for Nuclear Physics (INFN), the Italian Ministry of Education, the Italian Ministry of Scientific and Technological Research and the Sicilian Regional Government. We are thankful to the staff of EMCSC for their efficient and warm support. |
| entity relationship diagram arrows: API Design Patterns JJ Geewax, 2021-08-17 A concept-rich book on API design patterns. Deeply engrossing and fun to read. - Satej Sahu, Honeywell API Design Patterns lays out a set of design principles for building internal and public-facing APIs. In API Design Patterns you will learn: Guiding principles for API patterns Fundamentals of resource layout and naming Handling data types for any programming language Standard methods that ensure predictability Field masks for targeted partial updates Authentication and validation methods for secure APIs Collective operations for moving, managing, and deleting data Advanced patterns for special interactions and data transformations API Design Patterns reveals best practices for building stable, user-friendly APIs. These design patterns can be applied to solve common API problems and flexibly altered to fit specific needs. Hands-on examples and relevant cases illustrate patterns for API fundamentals, advanced functionalities, and uncommon scenarios. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology APIs are contracts that define how applications, services, and components communicate. API design patterns provide a shared set of best practices, specifications and standards that ensure APIs are reliable and simple for other developers. This book collects and explains the most important patterns from both the API design community and the experts at Google. About the book API Design Patterns lays out a set of principles for building internal and public-facing APIs. Google API expert JJ Geewax presents patterns that ensure your APIs are consistent, scalable, and flexible. You’ll improve the design of the most common APIs, plus discover techniques for tricky edge cases. Precise illustrations, relevant examples, and detailed scenarios make every pattern clear and easy to understand. What's inside Guiding principles for API patterns Fundamentals of resource layout and naming Advanced patterns for special interactions and data transformations A detailed case-study on building an API and adding features About the reader For developers building web and internal APIs in any language. About the author JJ Geewax is a software engineer at Google, focusing on Google Cloud Platform, API design, and real-time payment systems. He is also the author of Manning’s Google Cloud Platform in Action. Table of Contents PART 1 INTRODUCTION 1 Introduction to APIs 2 Introduction to API design patterns PART 2 DESIGN PRINCIPLES 3 Naming 4 Resource scope and hierarchy 5 Data types and defaults PART 3 FUNDAMENTALS 6 Resource identification 7 Standard methods 8 Partial updates and retrievals 9 Custom methods 10 Long-running operations 11 Rerunnable jobs PART 4 RESOURCE RELATIONSHIPS 12 Singleton sub-resources 13 Cross references 14 Association resources 15 Add and remove custom methods 16 Polymorphism PART 5 COLLECTIVE OPERATIONS 17 Copy and move 18 Batch operations 19 Criteria-based deletion 20 Anonymous writes 21 Pagination 22 Filtering 23 Importing and exporting PART 6 SAFETY AND SECURITY 24 Versioning and compatibility 25 Soft deletion 26 Request deduplication 27 Request validation 28 Resource revisions 29 Request retrial 30 Request authentication |
| entity relationship diagram arrows: Handbook on Architectures of Information Systems Peter Bernus, Kai Mertins, Günter Schmidt, 2013-03-14 An authoritative source about methods, languages, methodologies and supporting tools for constructing information systems that also provides examples for references models. Its strength is the careful selection of each of the above mentioned components, based on technical merit. The second edition completely revises all articles and features new material on the latest developments in XML & UML. The structure follows the definition of the major components of Enterprise Integration as defined by GERAM (Generalised Enterprise Reference Architecture and Methodology). 1st edition sold about 600 copies since January 2003. |
| entity relationship diagram arrows: The Elements of UMLTM 2.0 Style Scott W. Ambler, 2005-05-09 For all developers who create models using the Unified Modeling Language (UML) 2.x The Elements of UMLTM 2.0 Style sets the rules for style that will improve your productivity - especially in teams, where understandability and consistency are critical. Coming from renowned UML expert Scott Ambler, the book furnishes a set of rules for modelling in the UML and describes a collection of standards and guidelines for creating effective UML diagrams that will be concise and easy to understand. It provides conventions for: Class diagrams; Timing Diagrams; Use case diagrams; Composite Structure Diagrams; Sequence diagrams; Interaction Overview Diagrams; Activity diagrams; Object diagrams; State machine diagrams; Package diagrams; Communication diagrams; Deployment diagrams and Component diagrams. The Elements of UMLTM 2.0 Style sets the rules for style that will improve your productivity. |
| entity relationship diagram arrows: Public Policy Analysis Wil A. H. Thissen, Warren E. Walker, 2012-10-05 Traditional policy analysis approaches are characterized by a focus on system modeling and choosing among policy alternatives. While successful in many cases, this approach has been increasingly criticized for being technocratic and ignoring the behavioral and political dimensions of most policy processes. In recent decades, increased awareness of the multi-actor, multiple perspective, and poly-centric character of many policy processes has led to the development of a variety of different perspectives on the styles and roles of policy analysis, and to new analytical tools and approaches – for example, argumentative approaches, participative policy analysis, and negotiation support. As a result, the field has become multi-faceted and somewhat fragmented. Public Policy Analysis: New Developments acknowledges the variety of approaches and provides a synthesis of the traditional and new approaches to policy analysis. It provides an overview and typology of different types of policy analytic activities, characterizing them according to differences in character and leading values, and linking them to a variety of theoretical notions on policymaking. Thereby, it provides assistance to both end users and analysts in choosing an appropriate approach given a specific policy situation. By broadening the traditional approach and methods to include the analysis of actors and actor networks related to the policy issue at hand, it deepens the state of the art in certain areas. While the main focus of the book is on the cognitive dimensions of policy analysis, it also links the policy analysis process to the policymaking process, showing how to identify and involve all relevant stakeholders in the process, and how to create favorable conditions for use of the results of policy analytic efforts by the policy actors. The book has as its major objective to describe the state-of-the-art and the latest developments in ex-ante policy analysis. It is divided into two parts. Part I explores and structures policy analysis developments, the development and description of approaches to diagnose policy situations, design policy analytic efforts, and policy process conditions. Part II focuses on recent developments regarding models and modeling for policy analysis, placing modeling approaches in the context of the variety of conditions and approaches elaborated in Part I. |
| entity relationship diagram arrows: iOS Components and Frameworks Kyle Richter, Joe Keeley, 2013-10-08 Take Your Next Leap Forward as an iOS App Developer! Covers iOS 7 and Xcode 5 iOS Components and Frameworks will help you leverage iOS’s powerful components and frameworks to build apps with outstanding performance, reliability, interactivity, media support, and customization. Pioneering iOS developers Kyle Richter and Joe Keeley illuminate the sophisticated intermediate-to-advancedlevel techniques you’re now ready for. You’ll find example-rich coverage of topics ranging from social support to security, Core Data, TextKit, iCloud support, UIKit Dynamics, MapKit, and Passbook. There’s also a complete section on advanced performance and security, including the effective use of Grand Central Dispatch and Keychain. Each chapter contains a complete sample project that walks you through integrating its technology into a typical iOS app. You’ll discover how multiple iOS features can be combined into exceptionally powerful apps and walk through a complete case study project: a fully functional game with complete Game Center integration. Coverage includes: New physics-based animation effects provided by UIKit Dynamics Making the most of Core Location, MapKit, and Geofencing Leveraging Game Center features such as Leader Boards and Achievements Giving users access to their address and media libraries from within your app Using lightweight JSON to move data among servers, apps, and websites Syncing apps via iCloud using UIDocument and key-value store syncing Securing user data with Keychain Informing users of important app-related events via Notifications Storing and retrieving persistent data locally with Core Data Using advanced Objective-C features to write more manageable, concise apps Improving responsiveness through concurrency with Grand Central Dispatch Advanced text handling and display with TextKit Smoothly handling complex and continuous gestures Effective debugging techniques with Xcode 5 and Instruments Building passes for Passbook and PassKit If you’re a serious iOS developer who wants to build cutting-edge apps, iOS Components and Frameworks delivers the practical skills, reusable code, and expert insights you’re looking for. |
| entity relationship diagram arrows: Mastering iOS Frameworks Kyle Richter, Joe Keeley, 2015-04-11 Apple’s iOS SDK provides an amazingly powerful collection of frameworks. But it has been difficult to find detailed and useful knowledge about them–until now. With this book’s practical insights and tested code, you can use Apple’s frameworks to create apps that are more innovative and usable...faster and more reliable...more successful and profitable. Kyle Richter and Joe Keeley focus on intermediate-to-advanced techniques that professional iOS developers can use every day. Their far-reaching coverage ranges from social support to security, Core Data to iCloud–even Apple Watch. Organized as a convenient modular reference, nearly every chapter contains a complete Objective-C sample project. A multi-chapter Game Center case study shows how multiple iOS features can be combined to do even more. All source code may be downloaded at https://github.com/dfsw/icf. Coverage includes: Adding physics-like animation and behaviors to UIViews Using Core Location to determine device location, display customized maps, and implement geofencing Making games and apps social with Leaderboards Accessing music and image collections Building health/fitness apps with HealthKit Integrating with home automation via HomeKit Passing data between platforms using JSON Setting up local and remote notifications Remotely storing and syncing data with CloudKit Accessing app functionality with extensions Effortlessly adding AirPrint support Providing Handoff continuity between iOS 8 and Yosemite devices Getting productive with Core Data Integrating Twitter and Facebook via Social Framework Performing resource-intensive tasks with Grand Central Dispatch Securing user data with Keychain and Touch ID Customizing collection views Making the most of gesture recognizers Creating and distributing “passes” Debugging, instrumenting, and profiling apps |
| entity relationship diagram arrows: Introduction to Financial Technology Roy S. Freedman, 2006-04-24 The financial technology environment is a dynamic, high-pressured, fast-paced world in which developing fast and efficient buy-and-sell order processing systems and order executing (clearing and settling) systems is of primary importance. The orders involved come from an ever-changing network of people (traders, brokers, market makers) and technology. To prepare people to succeed in this environment, seasoned financial technology veteran Roy Freedman presents both the technology and the finance side in this comprehensive overview of this dynamic area. He covers the broad range of topics involved in this industry--including auction theory, databases, networked computer clusters, back-office operations, derivative securities, regulation, compliance, bootstrap statistics, optimization, and risk management—in order to present an in-depth treatment of the current state-of-the-art in financial technology. Each chapter concludes with a list of exercises; a list of references; a list of websites for further information; and case studies. - With amazing clarity, Freedman explains both the technology side and the finance side of financial technology - Accessible to both finance professionals needing to upgrade their technology knowledge and technology specialists needing to upgrade their finance knowledge |
| entity relationship diagram arrows: OOER '95 Object-Oriented and Entity-Relationship Modeling M. Papazoglou, 1995-11-23 This volume constitutes the refereed proceedings of the 14th International Conference on Object-Oriented and Entity-Relationship Modelling, OOER '95, held in Gold Coast, Australia in December 1995. The 36 papers presented together with an invited presentation by Gio Wiederhold were selected from a total of 120 submissions. The papers are organized in sections on object design and modelling, models and languages, reverse engineering and schema transformation, behavioral modelling, non-traditional modelling, theoretical foundations, business re-engineering, integrated approaches, cooperative work modelling, temporal data modelling, federated systems design, and industrial stream papers |
| entity relationship diagram arrows: Quality Software Project Management Robert T. Futrell, Donald F. Shafer, Linda Shafer, 2002 The book is based on the best practices of the UT Software Quality Institute Software Project Management certificates program. Quality Software Project Management identifies and teaches 34 essential project management competencies project managers can use to minimize cost, risk, and time-to-market. Covers the entire project lifecycle: planning. initiation, monitoring/control, and closing. Illuminates its techniques with real-world software management case studies. Authors (leading practitioners) address the pillars of any successful software venture: process, project, and people. Endorsed by the Software Quality Institute. |
| entity relationship diagram arrows: Geographic Information Systems Tor Bernhardsen, 2002-05-23 - dritte Auflage; die ersten beiden Auflagen waren äußerst erfolgreich - bietet einen kompletten Überblick über geographische Informationssysteme - Text ist absolut allgemeingültig, weil er sich nicht auf spezifische Disziplinen bezieht oder in geographischen und ingenieurtechnischen Details verliert - vor allem wird keine spezielle Anwendungssoftware besprochen - mit neuen Entwicklungen hinsichtlich der Standardisierung von GIS-Systemen - aktuellste Angaben zu Hardware, Software, Datenbankdesign und Analysenverfahren - ein Kapitel zur Auswahl eines GIS-Systems unter den Gesichtspunkten von Kosten und Nutzen (findet man in keinem anderen einschlägigen Werk!) |
| entity relationship diagram arrows: Tools for Project Management, Workshops and Consulting Nicolai Andler, 2016-08-22 This book is of the kind you always wanted but didn't think would or could ever exist: the universal field theory of problem solving. Tom Sommerlatte Typically today's tasks in management and consulting include project management, running workshops and strategic work - all complex activities, which require a multitude of skills and competencies. This standard work, which is also well accepted amongst consultants, gives you a reference or cookbook-style access to the most important tools, including a rating of each tool in terms of applicability, ease of use and effectiveness. In this considerably enlarged third edition, Nicolai Andler presents 152 of such tools, grouped into task-specific categories: Definition of a Situation/Problem - Information Gathering - Creativity - Information Consolidation - Goal Setting - Strategic, Technical and Organisational Analysis - Evaluation and Decision Making - Project Management. Checklists and Application Scenarios further enhance the use of this toolbox. Information provided by this book is: - comprehensive and sufficiently wide in scope, combined with a practical level of detail without being too academic - reliable and proven in numerous real implemented cases - easy to apply due to many different search options, checklists, application scenarios and guiding instructions. Written by a professional consultant, business analyst and business coach, this book is a unique reference work and guide for those wanting to learn about or who are active in the fields of consulting, project management and problem solving in general, both in business and engineering: business coaches and management trainers, workshop moderators, consultants and managers, project managers, lecturers and students. |
| entity relationship diagram arrows: Code Reading Diomidis Spinellis, 2003-05-27 If you are a programmer, you need this book. You've got a day to add a new feature in a 34,000-line program: Where do you start? Page 333 How can you understand and simplify an inscrutable piece of code? Page 39 Where do you start when disentangling a complicated build process? Page 167 How do you comprehend code that appears to be doing five things in parallel? Page 132 You may read code because you have to--to fix it, inspect it, or improve it. You may read code the way an engineer examines a machine--to discover what makes it tick. Or you may read code because you are scavenging--looking for material to reuse. Code-reading requires its own set of skills, and the ability to determine which technique you use when is crucial. In this indispensable book, Diomidis Spinellis uses more than 600 real-world examples to show you how to identify good (and bad) code: how to read it, what to look for, and how to use this knowledge to improve your own code. Fact: If you make a habit of reading good code, you will write better code yourself. |
| entity relationship diagram arrows: Integrated Spatial Databases: Digital Images and GIS Peggy Agouris, Anthony Stefanidis, 2003-06-26 This book constitutes the thoroughly refereed post-proceedings of the International Workshop on Integrated Databases, Digital Images and GIS, ISD'99, held in Portland, Maine, USA in June 1999. The 18 revised full papers presented went through a double reviewing process and were selected from nearly 40 original submissions. The book is divided into parts on object extraction from raster images, geospatial analysis, formalisms and modeling, and data access. |
| entity relationship diagram arrows: Handbook of Software Engineering & Knowledge Engineering Shi Kuo Chang, 2002 This is the first handbook to cover comprehensively both software engineering and knowledge engineering -- two important fields that have become interwoven in recent years. Over 60 international experts have contributed to the book. Each chapter has been written in such a way that a practitioner of software engineering and knowledge engineering can easily understand and obtain useful information. Each chapter covers one topic and can be read independently of other chapters, providing both a general survey of the topic and an in-depth exposition of the state of the art. Practitioners will find this handbook useful when looking for solutions to practical problems. Researchers can use it for quick access to the background, current trends and most important references regarding a certain topic.The handbook consists of two volumes. Volume One covers the basic principles and applications of software engineering and knowledge engineering.Volume Two will cover the basic principles and applications of visual and multimedia software engineering, knowledge engineering, data mining for software knowledge, and emerging topics in software engineering and knowledge engineering. |
| entity relationship diagram arrows: Systems Analysis and Design Kenneth E. Kendall, Julie E. Kendall, 2008 Dynamic, comprehensive coverage makes this the perfect book on systems analysis and design, with a reader-friendly presentation of development, methods, tools, and techniques.A variety of review questions and problems, an ongoing case study, and an Internet-based case study offer learners an understandable and motivating look at the SAD field.For production supervisors and other business personnel in similar positions who want a working knowledge–without the in-depth command–of information systems. |
| entity relationship diagram arrows: Fossils, Phylogeny, and Form Jonathan M. Adrain, Gregory D. Edgecombe, Bruce S. Lieberman, 2012-12-06 Phylogenetic analysis and morphometrics have been developed by biologists into rigorous analytic tools for testing hypotheses about the relationships between groups of species. This book applies these tools to paleontological data. The fossil record is our one true chronicle of the history of life, preserving a set of macroevolutionary patterns; thus various hypotheses about evolutionary processes can be tested in the fossil record using phylogentic analysis and morphometrics. The first book of its type, Fossils, Phylogeny, and Form will be useful in evolutionary biology, paleontology, systematics, evolutionary development, theoretical biology, biogeography, and zoology. It will also provide a practical, researcher-friendly gateway into computer-based phylogenetics and morphometrics. |
| entity relationship diagram arrows: Software Engineering Pankaj Sharma, 2004 The Book Covering The Various Aspects Of Software Engineering Takes Come Of The Entire Curriculum As Target In Most Indian And Foreign Universities. Useful For The Students And Practioners Of Software Engineering. |
| entity relationship diagram arrows: Documenting Software Architectures Paul Clements, Felix Bachmann, Len Bass, David Garlan, James Ivers, Reed Little, Paulo Merson, Robert Nord, Judith Stafford, 2010-10-05 Software architecture—the conceptual glue that holds every phase of a project together for its many stakeholders—is widely recognized as a critical element in modern software development. Practitioners have increasingly discovered that close attention to a software system’s architecture pays valuable dividends. Without an architecture that is appropriate for the problem being solved, a project will stumble along or, most likely, fail. Even with a superb architecture, if that architecture is not well understood or well communicated the project is unlikely to succeed. Documenting Software Architectures, Second Edition, provides the most complete and current guidance, independent of language or notation, on how to capture an architecture in a commonly understandable form. Drawing on their extensive experience, the authors first help you decide what information to document, and then, with guidelines and examples (in various notations, including UML), show you how to express an architecture so that others can successfully build, use, and maintain a system from it. The book features rules for sound documentation, the goals and strategies of documentation, architectural views and styles, documentation for software interfaces and software behavior, and templates for capturing and organizing information to generate a coherent package. New and improved in this second edition: Coverage of architectural styles such as service-oriented architectures, multi-tier architectures, and data models Guidance for documentation in an Agile development environment Deeper treatment of documentation of rationale, reflecting best industrial practices Improved templates, reflecting years of use and feedback, and more documentation layout options A new, comprehensive example (available online), featuring documentation of a Web-based service-oriented system Reference guides for three important architecture documentation languages: UML, AADL, and SySML |
| entity relationship diagram arrows: From Patient Data to Medical Knowledge Paul Taylor, 2008-04-15 How can you make the best use of patient data to improve health outcomes? More and more information about patients' health is stored on increasingly interconnected computer systems. But is it shared in ways that help clinicians care for patients? Could it be better used as a resource for researchers? This book is aimed at all those who want to learn about how IT is transforming the way we think about medicine and medical research. The ideas explored here are taken from research carried out around the world, and are presented by a leading authority in Health Informatics based at University College London. This comprehensive guide to the field is split into three sections: What is health informatics? – an introduction Techniques for representing and analysing patient data and medical knowledge Implementation in the clinical setting: changing practice to improve health care outcomes Whether you are a health professional, NHS manager or IT specialist, this book will help you understand how data can be managed to provide the information you and your colleagues want in the most helpful and accessible way for both you and your patients. |
| entity relationship diagram arrows: Introduction to Biomedical Data Science Robert Hoyt, Robert Muenchen, 2019-11-24 Overview of biomedical data science -- Spreadsheet tools and tips -- Biostatistics primer -- Data visualization -- Introduction to databases -- Big data -- Bioinformatics and precision medicine -- Programming languages for data analysis -- Machine learning -- Artificial intelligence -- Biomedical data science resources -- Appendix A: Glossary -- Appendix B: Using data.world -- Appendix C: Chapter exercises. |
ENTITY Definition & Meaning - Merriam-Webster
The meaning of ENTITY is being, existence; especially : independent, separate, or self-contained existence. How to use entity in a sentence.
ENTITY | English meaning - Cambridge Dictionary
ENTITY definition: 1. something that exists apart from other things, having its own independent existence: 2…. Learn more.
Entity - Wikipedia
An entity is something that exists as itself. It does not need to be of material existence. In particular, abstractions and legal fictions are usually regarded as entities. In general, there is …
ENTITY Definition & Meaning | Dictionary.com
being or existence, especially when considered as distinct, independent, or self-contained. He conceived of society as composed of particular entities requiring special treatment. essential …
Entity - definition of entity by The Free Dictionary
Something that exists as a particular and discrete unit: Persons and corporations are equivalent entities under the law. 2. The fact of existence; being. 3. The existence of something …
entity noun - Definition, pictures, pronunciation and usage ...
Definition of entity noun from the Oxford Advanced Learner's Dictionary. something that exists separately from other things and has its own identity. The unit has become part of a larger …
What does Entity mean? - Definitions.net
In business, an entity is a person, department, team, corporation, cooperative, partnership, or other group with whom it is possible to conduct business.
ENTITY Definition & Meaning - Merriam-Webster
The meaning of ENTITY is being, existence; especially : independent, separate, or self-contained existence. How to use entity in a sentence.
ENTITY | English meaning - Cambridge Dictionary
ENTITY definition: 1. something that exists apart from other things, having its own independent existence: 2…. …
Entity - Wikipedia
An entity is something that exists as itself. It does not need to be of material existence. In particular, abstractions and legal fictions are usually …
ENTITY Definition & Meaning | Dictionary.com
being or existence, especially when considered as distinct, independent, or self-contained. He conceived of …
Entity - definition of entity by The Free Dictionary
Something that exists as a particular and discrete unit: Persons and corporations are equivalent entities under the law. 2. The fact of …
