- π― We aim in this academic project to create a data streaming pipeline using Spark Streaming,ElasticSearchandKibana.
- π The workflow consists of generating continuous log data in a log file. then process it using spark streaming, the output is stored with Elastic Search and visualized in a Dashboard using Kibana.
- π₯ Here is a small tutorial to run the project on your own machine :
- π Project tutorial
- π€ This work has been done by : Snoussi Amine, Jawhar Mohammed , Isbaine mohamed and Me.
 
- π« Feel free to contact me (labrijisaad@gmail.com), or the collaborators if anything is wrong or if anything needs to be changed π!
- 
                Notifications
    You must be signed in to change notification settings 
- Fork 2
labrijisaad/Log-Analysis-with-Spark-Streaming-ElasticSearch-and-Kibana
Β 
Β 
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
| Β  | Β  | |||
| Β  | Β  | |||
| Β  | Β  | |||
Repository files navigation
About
In this academic project, we aim to create a data streaming pipeline using Spark Streaming, ElasticSearch and Kibana.
Topics
Resources
Stars
Watchers
Forks
Releases
No releases published
              Packages 0
        No packages published 
      
              Languages
- Scala 59.3%
- Python 31.3%
- Shell 9.4%
