Batch Data

Batch data transformation in Data protection refers to the process of applying data transformations and security measures to large sets of data in a batch or bulk fashion. This is often done to ensure that sensitive or confidential information is protected and made compliant with data privacy regulations when it is at rest, in transit, or during data processing.

Your Data's Path
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Key advantages of Batch data Transformation:

With Batch Data Transformation, you can depend on the security of centralized key management provided by CipherTrust Manager, which can provide up to FIPS 140-2 Level 3 key security.

You can protect sensitive information in database columns quickly and efficiently using tokenization with minimal disruption, effort and cost.

Static data masking enables you to remove sensitive information before sharing with third-party developers and big data environments while maintaining data integrity and still supporting mission-critical testing and analytical activities.

Batch Data Transformation and its Data protection tools are all software and completely cloud friendly. You can mask data on premises and use it in the cloud, mask data in the cloud and use it there, or secure data in one cloud and use it in another.

Batch Data Transformation can protect data while it is moving, for example, from a database to various flat file formats or in reverse. It supports

  • Flat-file (CSV) to flat-file
  • Flat-file to Database
  • Database to flat-file
  • Database to Database

As an alternative to encryption in Batch Data Transformation is tokenization. Batch Data Transformation can utilize the Tokenization Server to tokenize select database columns. Detokenization is supported so that applications can access the clear data again when required, or, irreversible tokenization can ensure that third parties never gain access to original sensitive data.

Batch data transformation in Data protection is a fundamental process that helps organizations secure, transform, and manage large datasets while ensuring data privacy and compliance with regulations. It encompasses various techniques, including masking, encryption, pseudonymization, and data quality enhancement, to protect sensitive information and meet organizational data protection objectives.

Your Data's Path
to Greatness

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