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Sharing big data safely : managing data security / Ted Dunning and Ellen Friedman

By: Contributor(s): Resource type: Ressourcentyp: BuchBookLanguage: English Publisher: Beijing ; Boston ; Farnham ; Sebastopol ; Tokyo : O'Reilly, September 2015Edition: First editionDescription: vi, 87 Seiten : Illustrationen, Diagramme ; 23 cmISBN:
  • 1491952121
  • 9781491952122
Subject(s): DDC classification:
  • 005.8 23
RVK: RVK: ST 265 | ST 277 | ST 271LOC classification:
  • QA76.9.A25
Summary: "Many big data-driven companies today are moving to protect certain types of data against intrusion, leaks, or unauthorized eyes. But how do you lock down data while granting access to people who need to see it? In this practical book, authors Ted Dunning and Ellen Friedman offer two novel and practical solutions that you can implement right away. Ideal for both technical and non-technical decision makers, group leaders, developers, and data scientists, this book shows you how to: share original data in a controlled way so that different groups within your organization only see part of the whole. Youll learn how to do this with the new open source SQL query engine Apache Drill; provide synthetic data that emulates the behavior of sensitive data. This approach enables external advisors to work with you on projects involving data that you can't show them"--Back coverSummary: So secure it's lost -- The challenge: sharing data safely -- Data on a need-to-know basis -- Fake data gives real answers -- Fixing a broken large-scale query -- Fraud detection -- A detailed look a log-synth -- Sharing data safely: practical lessonsCall number: Grundsignatur: 2021 B 93PPN: PPN: 845675508
Holdings
Item type Home library Shelving location Call number Status Barcode
Magazinbestand ausleihbar Bibliothek Campus Nord Geschlossenes Magazin CN 2021 B 93 Available 53621333090
Total holds: 0
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