Data Analytics for IT Networks: Developing Innovative Use Cases (Networking Technology)

John Garrett

  • 出版商: Cisco Press
  • 出版日期: 2018-10-24
  • 售價: $2,260
  • 貴賓價: 9.5$2,147
  • 語言: 英文
  • 頁數: 496
  • 裝訂: Paperback
  • ISBN: 1587145138
  • ISBN-13: 9781587145131
  • 相關分類: Data Science
  • 立即出貨 (庫存 < 3)

商品描述

Use data analytics to drive innovation and value throughout your network infrastructure


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.


  • Understand the data analytics landscape and its opportunities in Networking
  • See how elements of an analytics solution come together in the practical use cases
  • Explore and access network data sources, and choose the right data for your problem
  • Innovate more successfully by understanding mental models and cognitive biases
  • Walk through common analytics use cases from many industries, and adapt them to your environment
  • Uncover new data science use cases for optimizing large networks
  • Master proven algorithms, models, and methodologies for solving network problems
  • Adapt use cases built with traditional statistical methods
  • Use data science to improve network infrastructure analysisAnalyze control and data planes with greater sophistication
  • Fully leverage your existing Cisco tools to collect, analyze, and visualize data

商品描述(中文翻譯)

使用數據分析來推動創新和價值在整個網絡基礎設施中

網絡和IT專業人員從他們的網絡中捕獲了大量的數據。在這些數據中,有多個機會可以解決和避免問題,加強安全性,並改善網絡性能。為了實現這些目標,IT網絡專家需要對數據科學有扎實的理解,而數據科學家則需要對現代網絡概念有牢固的掌握。《數據分析用於IT網絡》填補了這些知識差距,使兩個群體能夠從遙測、事件分析、網絡基礎設施元數據和其他網絡數據來源中獲得前所未有的價值。

在他對大型Cisco網絡應用數據科學的開創性經驗的基礎上,約翰·加勒特介紹了網絡和IT專業人員所需的具體數據科學方法和算法,並幫助數據科學家了解當代網絡技術、應用和數據來源。

在建立這種共同理解之後,加勒特展示了如何揭示將數據科學算法與網絡數據集成的創新用例。他最後提供了幾個實際案例,這些案例是基於Python的,反映了Cisco客戶體驗(CX)工程師支持其最大的客戶。這些案例旨在作為開發從高級故障排除到服務保證等自定義解決方案的模板。

- 了解數據分析領域及其在網絡中的機會
- 看到實際用例中數據分析解決方案的各個元素如何結合
- 探索和訪問網絡數據來源,並選擇適合您問題的數據
- 通過理解心智模型和認知偏差更成功地創新
- 從各個行業的常見數據分析用例中走過,並將其適應到您的環境
- 發現優化大型網絡的新數據科學用例
- 掌握解決網絡問題的成熟算法、模型和方法
- 適應使用傳統統計方法構建的用例
- 使用數據科學改進網絡基礎設施分析,以更高的複雜性分析控制和數據平面
- 充分利用您現有的Cisco工具來收集、分析和可視化數據