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
