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Data analytics for IT networks : developing innovative use cases / John Garrett.

By: Material type: TextPublication details: Sa Jose, CA : Cisco Press, 2019 .Description: xxiv, 472 pages : illustrations (black and white) ; 24 CmISBN:
  • 9781587145131
  • 1587145138
Subject(s): DDC classification:
  • 23 004.6 G.J.D 2018
Contents:
Network and IT professionals capture immense amounts of data from their networks. Buried in this data are multiple opportunities to solve and avoid problems, strengthen security, and improve network performance. To achieve these goals, IT networking experts need a solid understanding of data science, and data scientists need a firm grasp of modern networking concepts. Data Analytics for IT Networks fills these knowledge gaps, allowing both groups to drive unprecedented value from telemetry, event analytics, network infrastructure metadata, and other network data sources.
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Cover image Item type Current library Home library Collection Shelving location Call number Materials specified Vol info URL Copy number Status Notes Date due Barcode Item holds Item hold queue priority Course reserves
Books Capital Universities Foundation Library (CUFL) School of Computer Sciences (ENU) 004.6 G.J.D 2018 (Browse shelf(Opens below)) Available 1337

Includes index.

Network and IT professionals capture immense amounts of data from their networks. Buried in this data are multiple opportunities to solve and avoid problems, strengthen security, and improve network performance. To achieve these goals, IT networking experts need a solid understanding of data science, and data scientists need a firm grasp of modern networking concepts. Data Analytics for IT Networks fills these knowledge gaps, allowing both groups to drive unprecedented value from telemetry, event analytics, network infrastructure metadata, and other network data sources.

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