What are the challenges of flattening data in databases?
An example of an AI chatbot conversation about challenges of flattening data in databases.
What are the main challenges of flattening data in databases?
Flattening data can lead to issues like data redundancy, loss of relationships, and increased complexity in data management.
Can you explain how data redundancy affects performance?
Data redundancy can slow down performance because it requires more storage space and can lead to inconsistencies during updates.
What strategies can be used to mitigate these challenges?
Strategies include normalization, using indexing, and implementing proper data governance practices.
Are there specific tools that can help with flattening data?
Yes, tools like ETL (Extract, Transform, Load) software and data integration platforms can assist in flattening data effectively.
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