What are some examples of data redundancy?
Data redundancy occurs when the same piece of data is stored in multiple places. Examples include duplicate customer records in a database or storing the same file in different folders.
Why is data redundancy considered a problem?
It's problematic because it can lead to inconsistencies, increased storage costs, and difficulties in data management.
Can you give me a real-world scenario of data redundancy?
Sure! In a retail company, if customer information is stored in both the sales database and the marketing database, any updates to a customer's address must be made in both places to avoid discrepancies.
How can we reduce data redundancy?
You can reduce data redundancy by normalizing your database, using unique identifiers, and implementing proper data management practices.
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