2 Areas of data processing 1. Business Data processing (BDP) . Business data processing is characterized by the need to establish‚ retain‚ and process files of data for producing useful information. Generally‚ it involves a large volume of input data‚ limited arithmetical operations‚ and a relatively large volume of output. For example‚ a large retail store must maintain a record for each customer who purchases on account‚ update the balance owned on each account‚ and a periodically present a
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vitally important in the business operations of a service provider; however this document strives to explore both ends of the debate‚ that is‚ the overarching importance of employees and customers. Significant research has been conducted regarding the nature of the two groups‚ which has aided this critical analysis of the notion that employees are more important than customers as well as the counter-argument that employees are indeed more important. Employees are more important than customers
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Lab – Data Analysis and Data Modeling in Visio Overview In this lab‚ we will learn to draw with Microsoft Visio the ERD’s we created in class. Learning Objectives Upon completion of this learning unit you should be able to: ▪ Understand the concept of data modeling ▪ Develop business rules ▪ Develop and apply good data naming conventions ▪ Construct simple data models using Entity Relationship Diagrams (ERDs) ▪ Develop entity relationships and define
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Confidentiality & Information Sharing: Much has been written about both the importance of confidentiality and information sharing‚ and people are often confused by what is meant. It can also be confusing trying to decided what it is ok to share and in what circumstances. Starting right It is helpful to start any professional relationship by telling people what you mean by confidentiality‚ and in what circumstance you might need to share information with colleagues or those outside of the organisation
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DATA COMMUNICATION (Basics of data communication‚ OSI layers.) K.K.DHUPAR SDE (NP-II) ALTTC ALTTC/NP/KKD/Data Communication 1 Data Communications History • 1838: Samuel Morse & Alfred Veil Invent Morse Code Telegraph System • 1876: Alexander Graham Bell invented Telephone • 1910:Howard Krum developed Start/Stop Synchronisation ALTTC/NP/KKD/Data Communication 2 History of Computing • 1930: Development of ASCII Transmission Code • 1945: Allied Governments develop the First Large Computer
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another person for a fraudulent purpose with the intent of obtaining an advantage in submitting an assignment or other work Declaration I certify that the attached work is entirely my own (or where submitted to meet the requirements of an approved group assignment is the work of the group)‚ except where work quoted or paraphrased is acknowledged in the text. I also certify that it has not been submitted for assessment in any other unit or course. I agree that Deakin University may make and retain
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am going to explain data protection‚ talk about the data protection acts‚ rights and principles. I’m going to talk about a data controller and a data processor and what their responsibilities are. What personal and sensitive data are. What a data receiver is and what his rights are‚ what is involved in direct marketing and I will mention an example of abuse or corruption that occurred in Ireland. Data protection acts Data protection is legal control over and access to use of data stored in computers
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DATA SECURITY IN LOCAL NETWORK USING DISTRIBUTED FIREWALLS ABSTRACT Computers and Networking have become inseparable by now. A number of confidential transactions occur every second and today computers are used mostly for transmission rather than processing of data. So Network Security is needed to prevent hacking of data and to provide authenticated data transfer. Network Security
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Assignment #2 EC1204 Economic Data Collection and Analysis Student No. 110393693 Part 1: Question 2 From analysing the Data on the Scatter Plot the relationship between the GDP and the Population of Great Britain from 1999-2009 appears to be a moderate positive correlation relationship. Both variables are increasing at a similar rate and following a similar pattern which would indicate this relationship. This relationship would tend to be a positive one as more people are available to the work
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Components of DSS (Decision Support System) Data Store – The DSS Database Data Extraction and Filtering End-User Query Tool End User Presentation Tools Operational Stored in Normalized Relational Database Support transactions that represent daily operations (Not Query Friendly) Differences with DSS 3 Main Differences Time Span Granularity Dimensionality Operational DSS Time span Real time Historic Current transaction Short time frame Long time frame Specific Data facts Patterns Granularity Specific
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