SecureData for Hadoop, Big Data and IoT

SecureData for Hadoop, Big Data and IoT

Key Features

  • Protects sensitive data in Big Data and IoT ecosystems end-to-end, from connected devices to mobile applications to the back-end
  • Protects data as close to its source as possible
  • Secure analytics - ensures data is usable for most applications in its de-identified state
  • Enables data privacy compliance to regulations such as the GDPR
  • Supports data encryption, tokenization, and data masking protection techniques
  • Achieves high performance, high scalability appropriate for Big Data speeds
  • Re-identifies data securely when required—strictly for authorized users and applications

End-to-end Data-centric Security

HPE SecureData provides an end-to-end data-centric approach to data protection that protects data over its entire lifecycle—from the point of capture, throughout its movement across your extended enterprise, all without exposing live information.

(PDF 265 KB)

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Secure Analytics in Hadoop and Big Data

Kevin Goode discusses the importance of securing sensitive data as Inmar provides its supply chain, healthcare & retail customers with analytic insights for business innovations. Inmar encrypts Hadoop data at the source, with HPE SecureData and FPE.

(3.29 Minutes)

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Securing sensitive data in Teradata

HPE SecureData for Teradata Big Data environments is a comprehensive data protection framework that secures data as it is captured, processed, and stored across a variety of devices, operating systems, databases, and applications.

(PDF 759 KB)

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Securing Data Across Industries

Allegiant Travel, VISA and Inmar share how they meet data security and compliance standards with HPE SecureData and HPE Atalla, supporting cost reduction, and increased revenue in Big Data analytics, eCommerce and Payments use cases.

(3:04 Minutes)

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Loeb Consulting relies on SecureData

Loeb Consulting uses HPE SecureData to protect sensitive corporate information for major enterprises to help secure Big Data environments with minimal impacts to speed and system capabilities.

(1:07 Minutes)

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