Data Anomalies

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 Answer both question with minimum 150 words each. Provide examples and references. 


1. Data Anomalies - Explain in your own words using tables from your lab project. Also describe how such anomalies could be prevented.



2. Normalization - Assume that you have not read this lecture and you have created your lab project (tables). Do you think your tables in your project are normalized? Explain how this session helped your project? What are your thoughts on normalization?

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    kim woods
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