Visualizing information for enterprise architecture design decisions using Elastic Stack
- Digital Enterprise Architecture allows multiple viewpoints on a company’s IT landscape. To gain valuable information out of huge amounts of operational data, it is indispensable to have both an understanding of the operations architecture and an engine capable of managing Big Data. The mechanism of understanding huge amounts of data is based on three main steps: collect, process and use. The main idea is focused on extracting valuable information out of Big Data to make better design decisions. The Elastic Stack is an open-source solution to comfortably and quickly handle Big Data scenarios.
| Author of HS Reutlingen | Schüssler, Janik; Karbstein, Denis; Klein, Dennis; Zimmermann, Alfred |
|---|---|
| URN: | urn:nbn:de:bsz:rt2-opus4-20820 |
| URL: | http://ceur-ws.org/Vol-2218/ |
| ISSN: | 1613-0073 |
| Erschienen in: | BIR-WS 2018 : BIR short papers, workshops and Doctoral Consortium joint proceedings of the BIR 2018 short papers, workshops and Doctoral Consortium, co-located with 17th International Conference Perspectives in Business Informatics Research (BIR 2018) Stockholm, Sweden, September 24-26, 2018. - (CEUR workshop proceedings ; Vol. 2218) |
| Publisher: | RWTH Aachen |
| Place of publication: | Aachen |
| Editor: | Jelena Zdravkovic |
| Document Type: | Conference Proceeding |
| Language: | English |
| Year of Publication: | 2018 |
| Tag: | Beats; Big Data analytics; Digital Enterprise Architecture; Elastic Stack; Elasticsearch; Kibana; Logstash; log files; operation architecture; operational data |
| Page Number: | 10 |
| First Page: | 1 |
| Last Page: | 10 |
| DDC classes: | 004 Informatik |
| Open Access?: | Ja |
| Licence (German): |  Open Access |
