TYPES OF DATA FLOW DIAGRAM: LOGICAL DFD PHYSICAL DFD Data Flow Diagrams (DFDs) are categorized as either logical or physical. A logical DFD focuses on the business and how the business operates. It describes the business events that take place and the data required and produced by each event. On the other hand‚ a physical DFD shows how the system will be implemented. Design Feature Logical Physical What the model depicts How the business operates How the system will be implemented
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University of Gujrat A World Class University Department of Computer Science COURSE DESCRIPTION Course Code CS-203 Course Title Data Structures Credit Hours 4 Category Core Prerequisite Knowledge and Experience in Programming Fundamentals and Object Oriented Programming Expertise in design‚ implementation‚ testing‚ and strong debugging of object-oriented programs. Inner Classes and Exception Handling Amis and Objectives “An apprentice carpenter may want only hammer and saw‚ but a master craftsman
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Green Data Center with Virtualization and Cloud Computing Technique ________________________________________________________________________ Nowadays‚ reducing the power consumed by large-scale data centers is most concerned issue in several large enterprises. Most of them have a number of servers situated in all branches providing online services. This consumes large amount of power for maintaining and cooling. Virtualization is a promising approach to consolidating multiple online services
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Department of Information Technology LAB MANUAL IT2205 – Data Structures and Algorithm Lab INDEX 1. Array Implementation Of Stack 2. Application Of Stack – Conversion Of Infix To Postfix 3. Implementation Of Linear Queue Using Arrays 4. Array Implementation Of Circular Queue 5. Linked List Implementation Of Stack 6. Singly linked list – Linked list implementation 7. Doubly
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Electronic Data Interchange * Electronic data interchange (EDI) is the structured transmission of data between organizations by electronic means‚ which is used to transfer electronic documents or business data from one computer system to another computer system‚ i.e. from one trading partner to another trading partner without human intervention. It is more than mere e-mail; for instance‚ organizations might replace bills of lading and even cheques with appropriate EDI messages. It also refers
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Section 4 Information Systems in Organisations Chapter 37 – Management Information Systems Introduction Over the past two decades‚ a transformation to an information society has been taking place‚ and computers and telecommunications technologies have revolutionised the way that organisations operate. We live in an information age‚ and no business of any size can survive and compete without embracing information technology. Information has come to be recognised as a resource of fundamental importance
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Battle between Hadoop and Data Warehouse #1 - Introduction Once or twice every decade‚ the IT marketplace experiences a major innovation that shakes the entire IT industry. In recent years‚ Apache Hadoop has done the same thing by infusing data centres with new infrastructure By giving the power of parallel processing to the programmer Hadoop is on such an exponential rise in adoption and its ecosystem is expanding in both depth and breadth‚ it is natural to ask whether Hadoop’s is going to replace
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software components of a database management system? A: Five software components of a database management system is the DBMS engine‚ data definition subsystem‚ data manipulation subsystem‚ application generation subsystem and data administration subsystem. DBMS engine accepts logical requests from various other DBMS subsystems‚ converts them into physical equivalents‚ and actually accesses the database and data dictionary as they exist on a storage device. Data definition subsystem helps the user
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Noradin Secondary School Submitted for the partial fulfillment of the requirements for the award of the Degree in Information Communication and Technology Under the Guidance of Mr.Ahmed Nassir July‚2011 BY
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Czyszczoń and Aleksander Zgrzywa Politechnika Wrocławska‚ Faculty of Computer Science and Management‚ Institute of Informatics‚ Wybrzeże Wyspiańskiego 27‚ 50370 Wrocław‚ Poland {adam.czyszczon‚aleksander.zgrzywa}@pwr.wroc.pl http://www.zsi.ii.pwr.wroc.pl Abstract. This paper attempts to address the problem of the automatic customer segmentation by processing data collected in Social Customer Relationship Management (Social CRM) systems using Kohonen networks. Presented segmentation approach comprises
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