Data Analytics for IT Networks

These are designed to serve as templates for developing custom solutions ranging from advanced troubleshooting to service assurance.

Data Analytics for IT Networks

Data Analytics for IT Networks

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.

More Books:

Data Analytics for IT Networks
Language: en
Pages:
Authors: John Garrett
Categories: Data mining
Type: BOOK - Published: 2018 - Publisher:

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
Network Data Analytics
Language: en
Pages: 398
Authors: K. G. Srinivasa, Siddesh G. M., Srinidhi H.
Categories: Computers
Type: BOOK - Published: 2018-04-26 - Publisher: Springer

In order to carry out data analytics, we need powerful and flexible computing software. However the software available for data analytics is often proprietary and can be expensive. This book reviews Apache tools, which are open source and easy to use. After providing an overview of the background of data
Big Data Analytics for Sensor-Network Collected Intelligence
Language: en
Pages: 326
Authors: Hui-Huang Hsu, Chuan-Yu Chang, Ching-Hsien Hsu
Categories: Computers
Type: BOOK - Published: 2017-02-02 - Publisher: Morgan Kaufmann

Big Data Analytics for Sensor-Network Collected Intelligence explores state-of-the-art methods for using advanced ICT technologies to perform intelligent analysis on sensor collected data. The book shows how to develop systems that automatically detect natural and human-made events, how to examine people’s behaviors, and how to unobtrusively provide better services. It
Big Data Analytics in Cybersecurity
Language: en
Pages: 336
Authors: Onur Savas, Julia Deng
Categories: Business & Economics
Type: BOOK - Published: 2017-09-18 - Publisher: CRC Press

Big data is presenting challenges to cybersecurity. For an example, the Internet of Things (IoT) will reportedly soon generate a staggering 400 zettabytes (ZB) of data a year. Self-driving cars are predicted to churn out 4000 GB of data per hour of driving. Big data analytics, as an emerging analytical
Cloud-Based Big Data Analytics in Vehicular Ad-Hoc Networks
Language: en
Pages: 312
Authors: Rao, Ram Shringar, Singh, Nanhay, Kaiwartya, Omprakash, Das, Sanjoy
Categories: Computers
Type: BOOK - Published: 2020-09-11 - Publisher: IGI Global

Vehicular traffic congestion and accidents remain universal issues in today’s world. Due to the continued growth in the use of vehicles, optimizing traffic management operations is an immense challenge. To reduce the number of traffic accidents, improve the performance of transportation systems, enhance road safety, and protect the environment, vehicular

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