Udvidet returret til d. 31. januar 2025

Big Data Security

- Reducing the Risk of Integrating Hadoop

Big Data Securityaf Paul M. Wright
Bag om Big Data Security

Big data security enables products like Hadoop to provide new knowledge in a secure fashion. Big data brings together many previously separate units of data that were partially secured by their host¿s technical inability to share that data seamlessly. The potential for data breach in a big data solution is huge. New processes and technology solutions are needed to enable sensitive data to be brought together safely allowing differential privacy, while simultaneously providing new knowledge from the aggregated results. This practical book shows how to protect Hadoop data from unauthorized access, and limit the ability of an attacker to corrupt or modify data in the event of a security breach.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9781498738194
  • Indbinding:
  • Hardback
  • Sideantal:
  • 320
  • Udgivet:
  • 1. januar 2025
  • Størrelse:
  • 156x234x0 mm.
  • BLACK NOVEMBER
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Beskrivelse af Big Data Security

Big data security enables products like Hadoop to provide new knowledge in a secure fashion. Big data brings together many previously separate units of data that were partially secured by their host¿s technical inability to share that data seamlessly. The potential for data breach in a big data solution is huge. New processes and technology solutions are needed to enable sensitive data to be brought together safely allowing differential privacy, while simultaneously providing new knowledge from the aggregated results. This practical book shows how to protect Hadoop data from unauthorized access, and limit the ability of an attacker to corrupt or modify data in the event of a security breach.

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