will be comparing and contrasting transactional databases and data warehouses‚ demonstrating the similarities and differences between them both. I will do this by first defining these database systems and the reason for their use. I will also be using key relevant theories and tools to back up my findings‚ to argue their differences and similarities as efficiently as possible. Where similarities between transactional databases and data warehouses do exist they are in the areas of information storage
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Systems 10 • Decision Support Systems 10 • Integrated Information Systems 11 • Office Management Systems 11 • Executive Management Systems 12 2.2.2. Overview of Hotel Management Reservation System 12 • Reduce cost 13 • Secure live data 13 • Efficiency 13 2.3. Data Collection Method and Fact Finding Techniques 13 2.3.1: Observation 14 2.3.2: Interviews 14 2.3.3: Questionnaires 14 2.3.4: Document review: 15 ADVANTAGES 15 DISADVANTAGES 15 2.4. Tools used in design and implementation of the
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product. A) Electronic data interchange (EDI) B) Business processes C) Trading partners D) Transaction 2. The group of logical‚ related‚ and sequential activities and transactions in which businesses engage are often collectively referred to as ____. A) Electronic data interchange (EDI) B) Business processes C) Trading partners D) Transaction 3. ____ occurs when one business transmits computer-readable data in a standard format to another business. A) Electronic data interchange (EDI) B)
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effect of the Data Protection Act on e-marketing This guide is based on UK law. It was last updated in March 2008. Topics • Advertising and marketing • Commercial The law relating to data protection is designed to regulate organisations known as data controllers who collect and process information relating to living and identifiable individuals and to provide those individuals with rights in relation to such data. In the UK the position is currently governed by the Data Protection Act
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Data protection & security What is Data Protection and Security ? This is the protection of data such as database from accidental‚ unauthorised or malicious access Data Protection Act Data protection Act controls and monitors the way personal and customer information is been used by organisations. The Data Protection Act 1998 (DPA 1998) is an Act of the UK parliament that defines the ways in which peoples information is been handed. 8 Data Protection Act Principles • Data must be Processed
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Level (0) Data Flow Diagram [pic] Level (1) Data Flow Diagram of General Enquiry [pic] Level 1DFD of Passenger Enquiry Section [pic] Level 2 DFD of Booking [pic] Level 2 DFD Cancellation ----------------------- Passenger 1.0 General Enquiry 2.0 Passenger Enquiry 3.0 Booking Counter 4.0 Cancellation Information Booking Inquiry
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Task 4 The Data Protection Act 1998: The Data Protection Act is made for the safety of people’s personal information‚ this means that ecommerce businesses or businesses as normal must keep their customers information safe and not use it for wrong reasons such as sharing their personal information. So this means that this rule must also go with West London Watches‚ they must follow this rule to. Businesses and organisations are allowed to use their customers information is some ways but there are
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Objectives What are Data Flow Diagrams (DFDs)? Why they are useful? How are they developed? How to level DFDs? Good style conventions in developing DFDs Difference between Logical and Physical DFDs Tools available to draw DFDs V. Rajaraman/IISc. Bangalore //V1/June 04/1 System Analysis and Design/ Tools for systems analysts Motivation Motivation WHY DFD ? Provides an overview of -What data a system processes -What transformations are performed -What data are stored -What
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underlying attribute values of objects subjected to clustering analysis. In doing so‚ the privacy of individuals’ data would be protected. In this age of data mining‚ we felt that working on data privacy was of paramount importance. We worked in a group of 3 on this and my role specifically was to design and implement the ‘K-means’ algorithm that clusters the data and forms the basis for the data transformation. In addition to my thesis‚ I worked on a solo project which involved developing an inventory
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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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