ELK analytics stack
Track
Best Practicies & Success Stories
Date and time
Thursday, 15. October 2015., 16:00
Room
Hall 3 Restaurant
Duration
45'
The growth of structured and unstructured data is creating newchallenges, resulting in usage of new tools and processes. ELK(Elasticsearch, Logstash and Kibana) analytics stack allows us to search,analyse and visualise our data in a distributed environment.Elasticsearch is a full text search server with easy to useconfiguration, REST based DSL query language and distributed nature.Logstash is a flexible, open source data collection, enrichment, andtransportation pipeline. Logstash allows us to import data intoElasticsearch server. Kibana is a visualization platform. With its' richset of charts it allows us to explore, visualize data and export them toend users in the form of dashboards. We will show how Privredna BankaZagreb is using ELK stack to analyse its data.
Lecture details
About speaker
Kristijan Duvnjak, author
Kristijan Duvnjak works as a Java developer/architect developing Java web applications, mainly online banking and business process management applications, he has rich experience with Spring framework and Java open source tools.
Mladen Maravić, coauthor
Mladen Maravić is a Java expert with more than 15 years of experience working on projects in banking, law-enforcement and insurance industries. Most of his time he is researching new technologies and fixing old ones.
HrOUG.hr
The conference is organized by the Croatian Association of Oracle users. More about the association can be found at Hroug.hr.
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