What are the best practices for processing data?
Some best practices include data validation, normalization, and ensuring data security.
Can you explain data normalization?
Data normalization is the process of organizing data to reduce redundancy and improve data integrity.
What tools can I use for data processing?
Popular tools include Apache Spark, Pandas for Python, and SQL databases.
How do I ensure data security during processing?
Implement encryption, access controls, and regular audits to ensure data security.
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