Cryptocurrency Q&A
Why do we use tokenized data for data analytics?
Why do we use tokenized data for data analytics?
Pietro
Sun Feb 23 2025
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6
answers
1627
We use tokenized data for data analytics because it allows us to process and analyze large amounts of unstructured text data more efficiently. By breaking down the data into smaller units or tokens, we can extract meaningful insights and patterns that would otherwise be difficult to detect in raw text.
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6 answers
AltcoinAdventurer
Tue Feb 25 2025
Encryption plays a crucial role in securing both unstructured and structured data.
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GinsengBoostPowerBoostVitality
Tue Feb 25 2025
This includes the protection of entire files, ensuring their confidentiality and integrity.
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Raffaele
Mon Feb 24 2025
Tokenization, on the other hand, focuses specifically on safeguarding structured data fields.
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Martino
Mon Feb 24 2025
These fields typically contain sensitive information, such as credit card details and Social Security numbers.
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ZenMind
Mon Feb 24 2025
The primary objective of tokenization is to Render this data unreadable and unusable by unauthorized individuals.
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