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WHITPAPER

SecureToken + Cloudera Data Platform

In this tech talk, we discuss: 
 
3 Real-World Applications:
  • How you can expedite your AI Model Deployment with Tokenization
  • Facilitate data sharing and enhance federated data access
  • Comply with Regulatory frameworks like NIS2 and DORA

Solution Implementation 

  • Utilize Spark to tokenize data at scale
  • Utilize Ranger/KMS to manage tokenization across all of the other data platforms in your enterprise e.g. Teradata, etc.
  • Implement your SecureToken Tokenization solution within 2 weeks

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Trusted by 

400

Big Data Implementations 

12+

Years of Big Data Experience

40K+

Implementation hours

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