Data analytics for IT networks: developing innovative use cases
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...
Gespeichert in:
| 1. Verfasser: | |
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| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
San Jose, CA
Cisco Press
[2019]
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| Schlagworte: | |
| Zusammenfassung: | 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. Drawing on his pioneering experience applying data science to large-scale Cisco networks, John Garrett introduces the specific data science methodologies and algorithms network and IT professionals need, and helps data scientists understand contemporary network technologies, applications, and data sources. After establishing this shared understanding, Garrett shows how to uncover innovative use cases that integrate data science algorithms with network data. He concludes with several hands-on, Python-based case studies reflecting Cisco Customer Experience (CX) engineers' supporting its largest customers. These are designed to serve as templates for developing custom solutions ranging from advanced troubleshooting to service assurance. -- Provided by publisher |
| Beschreibung: | xxiv, 472 Seiten Illustrationen, Diagramme |
| ISBN: | 1587145138 9781587145131 |
Internformat
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Datensatz im Suchindex
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| id | DE-604.BV046312032 |
| illustrated | Illustrated |
| indexdate | 2024-07-10T08:41:20Z |
| institution | BVB |
| isbn | 1587145138 9781587145131 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-031689185 |
| oclc_num | 1136401090 |
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| physical | xxiv, 472 Seiten Illustrationen, Diagramme |
| publishDate | 2019 |
| publishDateSearch | 2019 |
| publishDateSort | 2019 |
| publisher | Cisco Press |
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| spelling | Garrett, John Verfasser aut Data analytics for IT networks developing innovative use cases John Garrett CCIE Emeritus No. 6204, MSPA Data analytics for information technology networks San Jose, CA Cisco Press [2019] © 2019 xxiv, 472 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier 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. Drawing on his pioneering experience applying data science to large-scale Cisco networks, John Garrett introduces the specific data science methodologies and algorithms network and IT professionals need, and helps data scientists understand contemporary network technologies, applications, and data sources. After establishing this shared understanding, Garrett shows how to uncover innovative use cases that integrate data science algorithms with network data. He concludes with several hands-on, Python-based case studies reflecting Cisco Customer Experience (CX) engineers' supporting its largest customers. These are designed to serve as templates for developing custom solutions ranging from advanced troubleshooting to service assurance. -- Provided by publisher Rechnernetz (DE-588)4070085-9 gnd rswk-swf Netzwerkverwaltung (DE-588)4314339-8 gnd rswk-swf Datenanalyse (DE-588)4123037-1 gnd rswk-swf Computer networks / Management Quantitative research Rechnernetz (DE-588)4070085-9 s Netzwerkverwaltung (DE-588)4314339-8 s Datenanalyse (DE-588)4123037-1 s DE-604 |
| spellingShingle | Garrett, John Data analytics for IT networks developing innovative use cases Rechnernetz (DE-588)4070085-9 gnd Netzwerkverwaltung (DE-588)4314339-8 gnd Datenanalyse (DE-588)4123037-1 gnd |
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| title | Data analytics for IT networks developing innovative use cases |
| title_alt | Data analytics for information technology networks |
| title_auth | Data analytics for IT networks developing innovative use cases |
| title_exact_search | Data analytics for IT networks developing innovative use cases |
| title_full | Data analytics for IT networks developing innovative use cases John Garrett CCIE Emeritus No. 6204, MSPA |
| title_fullStr | Data analytics for IT networks developing innovative use cases John Garrett CCIE Emeritus No. 6204, MSPA |
| title_full_unstemmed | Data analytics for IT networks developing innovative use cases John Garrett CCIE Emeritus No. 6204, MSPA |
| title_short | Data analytics for IT networks |
| title_sort | data analytics for it networks developing innovative use cases |
| title_sub | developing innovative use cases |
| topic | Rechnernetz (DE-588)4070085-9 gnd Netzwerkverwaltung (DE-588)4314339-8 gnd Datenanalyse (DE-588)4123037-1 gnd |
| topic_facet | Rechnernetz Netzwerkverwaltung Datenanalyse |
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