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The applications (eg, registrar, accounting, or athletics) would share some common core functions, such as input, report generation, querying, and data browsing However, these common functions would typically be designed, coded, documented, and tested, at great expense, for each application Moreover, users must be trained to use each application File environments often waste valuable resources creating and maintaining similar applications, as well as in training users how to use them Other problems arise with le management systems The rst problem is data redundancy: As applications and their data les were created by different programmers over a period of time, the same data could be duplicated in several les In the university example, each data le will contain records about students, many of whom will be represented in other data les Therefore, student les in the aggregate will contain some amount of duplicate data.

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This wastes physical computer storage media, the students time and effort, and the clerks time needed to enter and maintain the data Data redundancy leads to the potential for data inconsistency Data inconsistency means that the actual values across various copies of the data no longer agree For example, if a student changes his or her address, the new address must be changed across all applications in the university that require the address File organization also leads to dif culty in accessing data from different applications, a problem called data isolation With applications uniquely designed and implemented, data les are likely to be organized differently, stored in different formats (eg, height in inches versus height in centimeters), and often physically inaccessible to other applications.

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In the university example, an administrator who wanted to know which students taking advanced courses were also starting players on the football team would most likely not be able to get the answer from the computer-based le system He or she would probably have to manually compare printed output data from two data les This process would take a great deal of time and effort and would ignore the greatest strengths of computers fast and accurate processing Additionally, security is dif cult to enforce in the le environment, because new applications may be added to the system on an ad-hoc basis; with more applications, more people have access to data The le environment may also cause data integrity problems Data values must often meet integrity constraints For example, the students Social Security.

c# gs1 128

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Jun 9, 2015 · A GS1 Parser for C#. Contribute to ... http://stackoverflow.com/questions/9721718/ean128-or-gs1-128-decode-c-sharp/28854802#28854802.

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c# gs1 128

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