Create Database Schema in Visual Paradigm
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Document Management System Design Architecture for Interdepartmental Organization
Date September 2009 Page/of 1/487 Document Management System design architecture for interdepartmental organization H. Safari Asl 1063405 Y.F. Tang 1107860 Master Thesis Honeywell B.V & Department: Information Architecture Faculty: Electrical Engineering, Mathematics and Computer Science, Delft University of Technology Date: September 2009 Date September 2009 Page/of 2/487 Document Management System design architecture for interdepartmental organization Authors: H. Safari Asl, BSc, Student nr: 1063405, Email: [email protected] Y.F. Tang, BSc, Student nr: 1107860, Email: [email protected] MSc presentation: 16 December 2009 Graduation committee Prof.dr.ir. J. L.G. Dietz(Chair) Electrical Engineering, Mathematics and Computer Science Department 2: Software Technology Web Information Systems Dr.ir. Jan van den Berg(Member) Technology, Policy and Management Infrastructures, Systems and Services Section Information & Communication Ir. Bernard Sodoyer(Supervisor) Electrical Engineering, Mathematics and Computer Science Department 2: Software Technology Web Information Systems Date September 2009 Page/of 3/487 Table of Contents List of tables .......................................................................................................................................... 4 List of figures ......................................................................................................................................... 5 List of appendix ..................................................................................................................................... -
Data Warehouse: an Integrated Decision Support Database Whose Content Is Derived from the Various Operational Databases
1 www.onlineeducation.bharatsevaksamaj.net www.bssskillmission.in DATABASE MANAGEMENT Topic Objective: At the end of this topic student will be able to: Understand the Contrasting basic concepts Understand the Database Server and Database Specified Understand the USER Clause Definition/Overview: Data: Stored representations of objects and events that have meaning and importance in the users environment. Information: Data that have been processed in such a way that they can increase the knowledge of the person who uses it. Metadata: Data that describes the properties or characteristics of end-user data and the context of that data. Database application: An application program (or set of related programs) that is used to perform a series of database activities (create, read, update, and delete) on behalf of database users. WWW.BSSVE.IN Data warehouse: An integrated decision support database whose content is derived from the various operational databases. Constraint: A rule that cannot be violated by database users. Database: An organized collection of logically related data. Entity: A person, place, object, event, or concept in the user environment about which the organization wishes to maintain data. Database management system: A software system that is used to create, maintain, and provide controlled access to user databases. www.bsscommunitycollege.in www.bssnewgeneration.in www.bsslifeskillscollege.in 2 www.onlineeducation.bharatsevaksamaj.net www.bssskillmission.in Data dependence; data independence: With data dependence, data descriptions are included with the application programs that use the data, while with data independence the data descriptions are separated from the application programs. Data warehouse; data mining: A data warehouse is an integrated decision support database, while data mining (described in the topic introduction) is the process of extracting useful information from databases. -
A Meaningful Mapping Approach for the Complex Design
Volume 23 Number 2 Sibilla M (2017) A Editor-in-Chief: meaningful mapping Edwin Dado approach for the complex Khaldoun Zreik design, International Journal of Design Sciences Editors: and Technology, 23:2 41- Daniel Estevez 78 Mithra Zahedi ISSN 1630 - 7267 ISSN 1630 - 7267 © europia Productions, 2017 15, avenue de Ségur, 75007 Paris, France. Tel (Fr) 014551 26 07 -(Int.) +33 14551 26 07 Fax (Fr) 01 45 51 26 32- (Int.) +33 1 45 51 26 32 E-mail: [email protected] http://www.europia.org/ijdst International Journal of Design Sciences and Technology Volume 23 Number 2 ISSN 1630 - 7267 International Journal of Design Sciences and Technology Editor-in-Chief: Edwin Dado, NLDA, Netherlands Khaldoun Zreik, University of Paris 8, France Editors: Daniel Estevez, Toulouse University, France Mithra Zahedi, University of Montreal, Canada Editorial Board: ACHTEN, Henri (Czech Technical University, Prague, Czech Republic) AMOR, Robert (University of Auckland, New Zealand) AOUAD, Ghassan (Gulf University for Science and Technology, Kuwait) BAX, Thijs (Eindhoven University of Technology, Netherlands) BECUE, Vincent (Université de Mons, Belgium) BEHESHTI, Reza (Design Research Foundation, Netherlands) BONNARDEL, Nathalie (Université d’Aix Marseille, France) BOUDON, Philippe (EAPLV, France) BRANGIER, Eric (Université de Lorraine, France) CARRARA, Gianfranco (Università di Roma La Sapienza, Italy) EDER, W. Ernst (Royal Military College, Canada) ESTEVEZ, Daniel (Toulouse University, France) FARINHA, Fátima (University of Algarve, Portugal) FINDELI, Alain (Université -
Sysml Distilled: a Brief Guide to the Systems Modeling Language
ptg11539604 Praise for SysML Distilled “In keeping with the outstanding tradition of Addison-Wesley’s techni- cal publications, Lenny Delligatti’s SysML Distilled does not disappoint. Lenny has done a masterful job of capturing the spirit of OMG SysML as a practical, standards-based modeling language to help systems engi- neers address growing system complexity. This book is loaded with matter-of-fact insights, starting with basic MBSE concepts to distin- guishing the subtle differences between use cases and scenarios to illu- mination on namespaces and SysML packages, and even speaks to some of the more esoteric SysML semantics such as token flows.” — Jeff Estefan, Principal Engineer, NASA’s Jet Propulsion Laboratory “The power of a modeling language, such as SysML, is that it facilitates communication not only within systems engineering but across disci- plines and across the development life cycle. Many languages have the ptg11539604 potential to increase communication, but without an effective guide, they can fall short of that objective. In SysML Distilled, Lenny Delligatti combines just the right amount of technology with a common-sense approach to utilizing SysML toward achieving that communication. Having worked in systems and software engineering across many do- mains for the last 30 years, and having taught computer languages, UML, and SysML to many organizations and within the college setting, I find Lenny’s book an invaluable resource. He presents the concepts clearly and provides useful and pragmatic examples to get you off the ground quickly and enables you to be an effective modeler.” — Thomas W. Fargnoli, Lead Member of the Engineering Staff, Lockheed Martin “This book provides an excellent introduction to SysML. -
VPUML Data Sheet
Datasheet Visual Paradigm for UML 7.0 Model-Code-Deploy Platform Boost Productivity with Innovative and Intuitive Technologies – From Requirements to Code Datasheet Visual Paradigm for UML 7.0 What VP-UML Provides? UML Modeling Business Process Modeling Visualize, design, communicate and Visualize, understand, analyze and document UML 2.2 diagrams with improve business process with BPMN, intuitive and sophisticated visual Process Map, Data Flow Diagram and modeling environment. Organization Chart. Database Modeling Requirement Modeling Design, generate, reverse and synchronize Capture, organize, manage and realize database with sophisticated ERD. requirements with SysML Requirement Generate professional documentation and Diagram. Build or customize your own Java Object-Relational Mapping layer requirement types. (Hibernate). Mind Mapping Diagramming Toolset Brainstorm, outline, share and discuss Create and maintain business and concepts and idea with mind mapping engineering diagrams with Visual tool. Mind Mapping diagram nodes can Paradigm cutting edge visual modeling link to any BPMN or UML elements to toolset such as resource-centric interface, keep the traceability. mouse gesture, sweeper, magnet, styles and layer. Page 2 of 6 Datasheet Visual Paradigm for UML 7.0 What VP-UML Provides? Modeling Toolset Documentation Generation Beyond diagramming there are various Design and generate professional toolsets to improve the quality of visual documentation in PDF, MS Word 2007 modeling. Nicknamer helps maintain and HTML formats. Keeping database, single element with multiple names for program and technical specification multi-national team. Visual Diff shows up-to-date with minimal effort. differences between diagrams and revisions visually. Animating UML diagram with Animacian. Team Collaboration Interoperability & Integration Modeling collaboratively and Export, import and merge with XML, simultaneously with VP Teamwork XMI, MS Excel formats. -
Concept Mapping Slide Show
5/28/2008 WHAT IS A CONCEPT MAP? Novak taught students as young as six years old to make Concept Mapping is a concept maps to represent their response to focus questions such as “What is technique for knowledge water?” and “What causes the Assessing learner understanding seasons?” assessment developed by JhJoseph D. NkNovak in the 1970’s Novak’s work was based on David Ausubel’s theories‐‐stressed the importance of prior knowledge in being able to learn new concepts. If I don’t hold my ice cream cone The ice cream will fall off straight… A WAY TO ORGANIZE A WAY TO MEASURE WHAT WE KNOW HOW MUCH KNOWLEDGE WE HAVE GAINED A WAY TO ACTIVELY A WAY TO IDENTIFY CONSTRUCT NEW CONCEPTS KNOWLEDGE 1 5/28/2008 Semantics networks words into relationships and gives them meaning BRAIN‐STORMING GET THE GIST? oMINDMAP HOW TO TEACH AN OLD WORD CLUSTERS DOG NEW TRICKS?…START WITH FOOD! ¾WORD WEBS •GRAPHIC ORGANIZER 9NETWORKING SCAFFOLDING IT’S ALL ABOUT THE NEXT MEAL, RIGHT FIDO?. EFFECTIVE TOOLS FOR LEARNING COLLABORATIVE 9CREATE A STUDY GUIDE CREATIVE NOTE TAKING AND SUMMARIZING SEQUENTIAL FIRST FIND OUT WHAT THE STUDENTS KNOW IN RELATIONSHIP TO A VISUAL TRAINING SUBJECT. STIMULATING THEN PLAN YOUR TEACHING STRATEGIES TO COVER THE UNKNOWN. PERSONAL COMMUNICATING NEW IDEAS ORGANIZING INFORMATION 9AS A KNOWLEDGE ASSESSMENT TOOL REFLECTIVE LEARNING (INSTEAD OF A TEST) A POST‐CONCEPT MAP WILL GIVE INFORMATION ABOUT WHAT HAS TEACHING VOCABULARLY BEEN LEARNED ASSESSING KNOWLEDGE 9PLANNING TOOL (WHERE DO WE GO FROM HERE?) IF THERE ARE GAPS IN LEARNING, RE‐INTEGRATE INFORMATION, TYING IT TO THE PREVIOUSLY LEARNED INFORMATION THE OBJECT IS TO GENERATE THE LARGEST How do you construct a concept map? POSSIBLE LIST Planning a concept map for your class IN THE BEGINNING… LIST ANY AND ALL TERMS AND CONCEPTS BRAINSTORMING STAGE ASSOCIATED WITH THE TOPIC OF INTEREST ORGANIZING STAGE LAYOUT STAGE WRITE THEM ON POST IT NOTES, ONE WORD OR LINKING STAGE PHRASE PER NOTE REVISING STAGE FINALIZING STAGE DON’T WORRY ABOUT REDUNCANCY, RELATIVE IMPORTANCE, OR RELATIONSHIPS AT THIS POINT. -
Smartdraw User Guide
SmartDraw User Guide Contents Welcome to SmartDraw ............................................................................................................................... 8 The Resources Section of SmartDraw.com .......................................................................................... 9 Tech Support ...................................................................................................................................... 10 SmartHelp ........................................................................................................................................... 10 Chapter 1: Building Visuals Using SmartDraw ............................................................................................ 11 Opening a Visual Template ..................................................................................................................... 11 Start a Basic Visual Template ............................................................................................................. 12 Open More Specific Templates and Examples ................................................................................... 16 Open a Recently Used Visual .............................................................................................................. 18 Open a Recently Visited Template ..................................................................................................... 19 Using the Application Screen to Build a Visual ...................................................................................... -
Chapter 2: Database System Concepts and Architecture Define
Chapter 2: Database System Concepts and Architecture define: data model - set of concepts that can be used to describe the structure of a database data types, relationships and constraints set of basic operations - retrievals and updates specify behavior - set of valid user-defined operations categories: high-level (conceptual data model) - provides concepts the way a user perceives data - entity - real world object or concept to be represented in db - attribute - some property of the entity - relationship - represents and interaction among entities representational (implementation data model) - hide some details of how data is stored, but can be implemented directly - record-based models like relational are representational low-level (physical data model) - provides details of how data is stored - record formats - record orderings - access path (for efficient search) schemas and instances: database schema - description of the data (meta-data) defined at design time each object in schema is a schema construct EX: look at TOY example - top notation represents schema schema constructs: cust ID; order #; etc. database state - the data in the database at any particular time - also called set of instances an instance of data is filled when database is populated/updated EX: cust name is a schema construct; George Grant is an instance of cust name difference between schema and state - at design time, schema is defined and state is the empty state - state changes each time data is inserted or updated, schema remains the same Three-schema architecture -
Teaching UML in Moodle Environment
Teaching UML in Moodle environment Zbigniew MROZEK#1 #Malopolska Higher Vocational School in Cracow (Małopolska Wyższa Szkoła Zawodowa w Krakowie) PL 31-532 Kraków, ul W. Pola 4 1 [email protected] Abstract— This paper describes author's experience in teaching object oriented programming with UML in a After one semester of using Moodle and Blackboard for Moodle environment. different groups of students, Moodle was chosen as more suitable and more effective environment. It is less complicated and more user friendly for the teacher. I. INTRODUCTION Moreover Moodle is a public domain software and this Author is teaching object oriented programming with means that possible lack of founds will not stop using it. UML from year 1999. Moodle and Blackboard were used by author to manage educational process. After one III. UML LANGUAGE semester, Moodle was chosen as more suitable environment. UML (unified modelling language) is derived from three other products: OMT (object modelling technique) by James Rumbaugh, Booch method by Grady Booch and II. THE TEACHING ENVIRONMENT OOSE (object oriented software engineering) by Ivar The teaching environment may be called virtual learning Jacobson. From version 1.1, UML language is non- environment (VLE), Learning Management System proprietary and open to all. It is maintained by the (LMS), Course Management System (CMS), Learning standards organisation: Object Management Group Content Management System (LCMS), Managed (www.omg.org) Learning Environment (MLE), Learning Support System (LSS) or Learning Platform (LP). The actual name new product idea depends on software package used to support the process d e s i g n c o n c e p t u a l and on services offered by that package. -
A Framework for Access and Use of Documentary Heritage at the National Archives of Zimbabwe
A FRAMEWORK FOR ACCESS AND USE OF DOCUMENTARY HERITAGE AT THE NATIONAL ARCHIVES OF ZIMBABWE by FORGET CHATERERA submitted in accordance with the requirements for the degree of Doctor of Literature and Philosophy in the subject Information Science at the UNIVERSITY OF SOUTH AFRICA SUPERVISOR: PROFESSOR P. NGULUBE CO-SUPERVISOR: DOCTOR A. RODRIGUES July 2017 SUMMARY The study sought to develop a framework for access and use of documentary heritage at the National Archives of Zimbabwe (NAZ). This followed the realization that access and use is the raison d'être for national archival institutions yet the level of utilization has for a long time been lamented to be low. The researcher therefore took a holistic approach and investigated the issues of bibliographic, intellectual and physical access to archives. Using a grounded theory research approach framed within the constructivism ontology and the interpretivism epistemological research paradigm, this study employed the observation technique, interviews and content analysis to collect the empirical evidence that was needed to develop a framework for access and use of the documentary heritage in the custody of NAZ. The study extensively discussed the methodological issues involved in the study as grounded theory is a rarely used approach in Information Science studies. An extensive discussion was therefore offered to enable readers to follow and appreciate how the not so common approach was actually employed. The findings of the study showed that the position of NAZ as a public information resource centre was threatened by many obstacles that were compromising the accessibility and use of the documentary heritage in its custody. -
Revision Mind Map Template
Revision Mind Map Template ruralizesRococo Constantin spiritoso, but sometimes dividing Wallisdecarbonised never charges any piggie so spasmodically. swathes atrociously. Woody Clarke fasts vibrantly.coshes his cyberneticists When they are automatically choose from your thought process. Upload and templates help them with friends or filling in a template will generate ideas, so you can. Use the story you can create one click use them to represent the ideas or on how your working on. It will start. Now up in mind mapping software also renders it. It from your mind maps can be for anyone understand and templates and this is our premium accounts. Manage multiple versions of revision mind mapping tool that many new career skills are working. You are options for inserting images, clearly structured in! Coggle supports the mind mapping software, generate new mind map if you like interest based on the changes over live data from text from. Os x offers free. While writing a note taking happens anytime and offer premium packages for shopping list. Lack of your doc it simultaneously, you can also be downloaded as for various branches, they are the root shape libraries. Try again later the new ideas with our global customer groups with a mind map, rather than ever cancel your preferences. You can improve your revision map templates online collaborative document retention benefits which can start with block forms a mind. It will help you a way human brain is a large mind maps for critical functions like your revision mind map template to collaborate on. Mind mapping examples for a basic project management tool for windows, search within minutes are right where you relevant data that helps developers by. -
Data Models for Home Services
__________________________________________PROCEEDING OF THE 13TH CONFERENCE OF FRUCT ASSOCIATION Data Models for Home Services Vadym Kramar, Markku Korhonen, Yury Sergeev Oulu University of Applied Sciences, School of Engineering Raahe, Finland {vadym.kramar, markku.korhonen, yury.sergeev}@oamk.fi Abstract An ultimate penetration of communication technologies allowing web access has enriched a conception of smart homes with new paradigms of home services. Modern home services range far beyond such notions as Home Automation or Use of Internet. The services expose their ubiquitous nature by being integrated into smart environments, and provisioned through a variety of end-user devices. Computational intelligence require a use of knowledge technologies, and within a given domain, such requirement as a compliance with modern web architecture is essential. This is where Semantic Web technologies excel. A given work presents an overview of important terms, vocabularies, and data models that may be utilised in data and knowledge engineering with respect to home services. Index Terms: Context, Data engineering, Data models, Knowledge engineering, Semantic Web, Smart homes, Ubiquitous computing. I. INTRODUCTION In recent years, a use of Semantic Web technologies to build a giant information space has shown certain benefits. Rapid development of Web 3.0 and a use of its principle in web applications is the best evidence of such benefits. A traditional database design in still and will be widely used in web applications. One of the most important reason for that is a vast number of databases developed over years and used in a variety of applications varying from simple web services to enterprise portals. In accordance to Forrester Research though a growing number of document, or knowledge bases, such as NoSQL is not a hype anymore [1].