• Data duplication
• Data inconsistency or update/deletion/insertion anomalies
• Data integrity errors (due to data inconsistency)
• Inconsistent search results in multi-value fields
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Flat file databases have limitations such as lack of scalability, as they can become unwieldy and inefficient with large amounts of data. They also lack relational capabilities, making it challenging to establish connections between different sets of data. Additionally, flat file databases can be prone to data redundancy and inconsistency, as data is often duplicated across multiple files.
Flat file databases are also called as relational databases describe any different means to encode a database model. This requires data to be kept in one large table. Big up Philip Proctor
A spreadsheet is one example. All the data is in a single table.
hello
No one knows
if your talking about what i am (hopefully) then well i am not sure but i think it is a long flat (well duh) sort of square file and its good for sofening edges, metal and wood edges that is.