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

Product Description

One of the hottest trends in the networking industry is to apply analytics to improve performance, security, and value. Everyone’s talking about integrating analytics in networks. But successfully doing so requires a deep understanding of both networking and data, and that’s a rare combination. This book’s author, John Garrett, is currently Analytics Technical Lead for Cisco Advanced Services, where he draws on his MS in Predictive Analytics to develop analytics use cases for many of Cisco’s most sophisticated customers. In
Computer Networking Data Analytics, Garrett illuminates the data of networking, revealing the power of the information that’s already available in your environment. Next, he introduces powerful techniques for using that information to accelerate innovation, and build a better network. Garrett walks step-by-step through a wide spectrum of common networking analytics techniques and scenarios, illuminating the insights underlying them, and helping you adapt them for your own environment. He concludes with several end-to-end case studies demonstrating how his team has developed high-value use cases for some of Cisco’s largest customers. These end-to-end use cases can serve as repeatable templates for developing your own solutions in areas ranging from advanced troubleshooting and self-healing to service assurance. They will help you drive more value from telemetry, event analytics, network infrastructure metadata, and all the information you have.

About the Author

John Garrett is CCIE Emeritus (6204) and Splunk Certified. He earned an M.S. in predictive analytics from Northwestern University, and has a patent pending related to analysis of network devices with data science techniques. John has architected, designed, and implemented LAN, WAN, wireless, and data center solutions for some of the largest Cisco customers. As a secondary role, John has worked with teams in the Cisco Services organization to innovate on some of the most widely used tools and methodologies at Customer Experience over the past 12 years.

For the past 7 years, John’s journey has moved through server virtualization, network virtualization, OpenStack and cloud, network functions virtualization (NFV), service assurance, and data science. The realization that analytics and data science play roles in all these brought John full circle back to developing innovative tools and techniques for Cisco Services. John’s most recent role is as an Analytics Technical Lead, developing use cases to benefit Cisco Services customers as part of Business Critical Services for Cisco. John lives with his wife and children in Raleigh, North Carolina.