What are some use cases for flattening data?
Flattening data is often used in data processing to simplify complex structures, making it easier to analyze.
Can you give me specific examples of where this is applied?
Sure! It's commonly used in data warehousing, reporting, and machine learning to improve performance and accessibility.
How does flattening affect data integrity?
Flattening can enhance data integrity by reducing redundancy, but it may also lead to loss of hierarchical relationships.
Are there any tools that can help with flattening data?
Yes, tools like Apache Spark, Pandas in Python, and ETL platforms can assist in flattening data efficiently.
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