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    Data Flow Diagrams

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    PROCESS MAPS AND DATA FLOW DIAGRAMS Process Maps Guidelines for Drawing Process Maps Data Flow Diagrams Guidelines for Drawing Data Flow Diagrams REFERENCES AND RECOMMENDED READINGS ANSWERS TO TEST YOURSELF OTHER DOCUMENTATION TOOLS Program Flowcharts Decision Tables Software Tools for Graphical Documentation and SOX Compliance After reading this chapter‚ you will: 1. Understand why documenting an AIS is important. 2. Be able to draw simple document flowcharts and explain how they describe

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    Data Warehousing Failures

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    Data Warehousing Failures Eight studies of data warehousing failures are presented. They were written based on interviews with people who were associated with the projects. The extent of the failure varies with the organization‚ but in all cases‚ the project was at least a disappointment. Read the cases and prepare a one or two page discussion of the following: 1. What’s the scope of what can be considered a data warehousing failure? Discuss. 2. What generalizations apply across

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    Gps Data Logger

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    GPS Professor Dr Dogan Ibrahim from the Department of Computer Engineering at the Near East University in Cyprus describes the design of a GPS data logger device with SD card storage‚ where the collected data can be displayed in street-level using the Google Earth mapping program GPS data logger with SD card storage and GOOGLE EARTH map interface THE GLOBAL Positioning System (GPS) is a satellite-based navigation system developed by the US Department of Defence. The first GPS system was tested

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    SOLUTIONS MANUAL DATA AND COMPUTER COMMUNICATIONS EIGHTH EDITION CHAPTERS 1 - 12 WILLIAM STALLINGS Copyright 2007: William Stallings © 2007 by William Stallings All rights reserved. No part of this document may be reproduced‚ in any form or by any means‚ or posted on the Internet‚ without permission in writing from the author. Selected solutions may be shared with students‚ provided that they are not available‚ unsecured‚ on the Web. -2- NOTICE This manual contains

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    ANALYSES AND DATA INTERPRETATION MASTER TABLE FOR WORKING CAPITAL: Particulars 2008-09 2009-10 2010-11 2011-12 Cash 26641162 55642473 138100028 161490169 Raw-Materials 518716903 2590738053 2733309086 3670256062 Work-in-progress 14357756 212436011 593120762 6448792 Finished-Goods 387209501 765102729 1581471825 1093748619 Debtors 43076543 13796139 89900304 83813855 TOTAL 990001865 3637715405 5135902005 5015757497 Statement showing working capital on 2009 INTERPRETATION

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    Data Depth and Optimization Komei Fukuda fukuda@ifor.math.ethz.ch Vera Rosta rosta@renyi.hu In this short article‚ we consider the notion of data depth which generalizes the median to higher dimensions. Our main objective is to present a snapshot of the data depth‚ several closely related notions‚ associated optimization problems and algorithms. In particular‚ we briefly touch on our recent approaches to compute the data depth using linear and integer optimization programming. Although

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    Don’t forget to check out the Online Learning Center‚ www.mhhe.com/forouzan for additional resources! Instructors and students using Data Communications and Networking‚ Fourth Edition by Behrouz A. Forouzan will find a wide variety of resources available at the Online Learning Center‚ www.mhhe.comlforouzan Instructor Resources Instructors can access the following resources by contacting their McGraw-Hill Representative for a secure password. PowerPoint Slides. Contain figures‚ tables‚ highlighted

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    Data Flow Diagram

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    In the late 1970s data-flow diagrams (DFDs) were introduced and popularized for structured analysis and design (Gane and Sarson 1979). DFDs show the flow of data from external entities into the system‚ showed how the data moved from one process to another‚ as well as its logical storage. Figure 1 presents an example of a DFD using the Gane and Sarson notation. There are only four symbols: Squares representing external entities‚ which are sources or destinations of data. Rounded rectangles

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    Data Protection Guide

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    DATA PROTECTION ACT 1998 GUIDANCE TO SOCIAL SERVICES March 2000 CONTENTS Section 1 Section 2 Section 3 Introduction Glossary of terms Good practice in record keeping Principles underpinning good practice A policy framework Retention and destruction of records Records subject to statutory requirements Management commitment to good practice 4 8 14 14 15 16 17 17 Contents page 1 Section 4 Details of the Act and its implementation Access to social services records Personal

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    What Is a Data Warehouse ?

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    Question 1 What is a data warehouse? What problems does it solve for a business? A data warehouse is a place where data is stored for archival purpose‚ analysis purpose. Usually a data warehouse is either a single computer or many computers servers tied together to create one giant computer systems. Data warehouse solve a lot of problems to companies as it helps to structure files and avoid unnecessary duplication of data. Data warehouse also allows to easily updating data and encourages management

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