TOVARŇÁK, Daniel, Matúš RAČEK and Petr VELAN. Cloud Native Data Platform for Network Telemetry and Analytics. Online. In 17th International Conference on Network and Service Management. Izmir, Turkey (Virtual): IFIP Open Digital Library, IEEE Xplore, 2021, p. 394-396. ISBN 978-3-903176-36-2. Available from: https://dx.doi.org/10.23919/CNSM52442.2021.9615568.
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Basic information
Original name Cloud Native Data Platform for Network Telemetry and Analytics
Authors TOVARŇÁK, Daniel (203 Czech Republic, guarantor, belonging to the institution), Matúš RAČEK (703 Slovakia, belonging to the institution) and Petr VELAN (203 Czech Republic, belonging to the institution).
Edition Izmir, Turkey (Virtual), 17th International Conference on Network and Service Management, p. 394-396, 3 pp. 2021.
Publisher IFIP Open Digital Library, IEEE Xplore
Other information
Original language English
Type of outcome Proceedings paper
Country of publisher United States of America
Confidentiality degree is not subject to a state or trade secret
Publication form electronic version available online
WWW URL
RIV identification code RIV/00216224:14610/21:00120063
Organization Ústav výpočetní techniky – Repository – Repository
ISBN 978-3-903176-36-2
Doi http://dx.doi.org/10.23919/CNSM52442.2021.9615568
UT WoS 000836226700063
Keywords in English Data Lakehouse;Network Flows;Log Data
Links VI20202022164, research and development project.
Changed by Changed by: RNDr. Daniel Jakubík, učo 139797. Changed: 23/3/2023 04:10.
Abstract
In this manuscript, we present a prototype of a modular data platform that is able to continuously ingest, process, retain, and analyse large amounts of network telemetry data in a scalable and straightforward manner. It follows a recently proposed Data Lakehouse architectural pattern, which is an evolution of two well-known approaches used in this area -- data warehouses and data lakes. The platform is based on open standards and open-source components, and it follows cloud native principles in order to be able to run in modern computing environments such as public, private, and hybrid clouds. The primary focus of the prototype is network telemetry and analytics over traffic flows and infrastructure logs for the purposes of cyber-security digital forensics and incident response. During the demonstration part, we will further describe internal workings of the presented data platform and showcase its capabilities and possible applications on a public dataset.
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Uploaded/Created
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  • anyone on the Internet
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Right to administer:
  • a concrete person Mgr. Lucie Vařechová, uco 106253
  • a concrete person RNDr. Daniel Jakubík, uco 139797
  • a concrete person Mgr. Jolana Surýnková, uco 220973
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