10 IR Based Databases - ELK
Slides: https://webeep.polimi.it/mod/resource/view.php?id=50601 Exercises: https://webeep.polimi.it/mod/resource/view.php?id=50926
Pages
01 ELK stack
Kibana : Visualize and Manage Elasticsearch : Store, Search and Analyze Logstash + Beats : Ingest Elasticsearch Elasticsearch is the core of the Elastic Stack. It’s a search and analytic engine Near…
02 Elasticsearch
Elasticsearch stores data structures in JSON documents which are distributed and can be accessed from any ES node when in a cluster. When stored, new documents are indexed and made fully searchable .…
03 Elasticsearch operations
Creating and index: PUT /index_name Define a mapping: PUT /my_i n dex/_mappi n g { "properties" : { "<field_name>" : { "type" : "text" } } } Retrieve a…
04 Logstash
Working with Beats Beats focus on data collection and shipping while Logstash focuses on processing and data normalization. Logstash can also receive data from devices for which Beats are not…