Garrett, John, <br/><br/>
Data analytics for IT networks :  developing innovative use cases / 
John Garrett. 
 - Indianapolis :  Cisco Press,  2018. 
 - 496 pages :  illustrations (black and white) ;  24 cm 
<br/><br/> 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. This title 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. 
<br/><br/><label>ISBN: </label>9781587145131 (pbk.) :  £44.99 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Computer networks--Management.<br/>Quantitative research.<br/>Computers and IT.