Riga, Old Town

Konventa Seta, 9/11 Kaleju iela, Riga, Latvia
Located directly on Riga’s Old Town, only 100 m from the Riga's Dom Cathedral.

Explore Our Courses

Advanced Elasticsearch and Kibana Administration

35 Hours
This instructor-led, live training in Riga (online or onsite) is aimed at intermediate-level administrators and developers who wish to deepen their understanding of Elasticsearch administration, including advanced techniques for dashboard development in Kibana, as well as maintenance of the system.By the end of this training, participants will be able to:
  • Set up and configure Elasticsearch and Kibana environments for advanced administration and dashboard development.
  • Create and manage Elasticsearch indices, mappings, and data models.
  • Develop advanced queries and filters to extract valuable insights from Elasticsearch data.
  • Design and build interactive dashboards in Kibana using various visualization types and techniques.
  • Implement best practices for Elasticsearch and Kibana administration, optimization, and troubleshooting.
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Elasticsearch for Developers

14 Hours
This instructor-led, live training in Riga is aimed at software developers who wish to build search and analytics solutions using Elasticsearch. The training starts with a discussion of the Elasticsearch architecture, including its distributed model and search API. This is followed by an explanation of Elasticsearch's functionality and how to best integrate it into an existing application. Hands-on exercises make up an important part of the training, and give participants a chance to put into practice their knowledge while receiving feedback on their implementation and progress.
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Administration and Development of Elasticsearch

28 Hours
Audience Administrators or developers who want to know how to use Elasticsearch.
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Implementation and Administration of Elasticsearch

21 Hours
Audiance Administrators or developers who want to know how to use Elasticsearch.  
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Elasticsearch Advanced Administration, Monitoring and Maintenance

14 Hours
Audience Administrators or developers who want to know how to use Elasticsearch.  
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ELK: Elasticsearch, Logstash and Kibana for Administrators

14 Hours
This instructor-led, live training in Riga is aimed at system administrators who wish to set up an ELK stack (Elasticsearch, Logstash, Kibana). Note that a minimum of 3 delegates is needed for this course to run. The training starts with a discussion of ELK architecture and functionality, then moves on to live lab implementation and practice. Hands-on exercises make up an important part of the training and give participants a chance to put into practice their knowledge while receiving feedback on their progress.
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Kibana: Essentials

14 Hours
This training introduces Kibana to the users of Elasticsearch. Kibana is an open source analytics and visualization platform designed to work with Elasticsearch. You use Kibana to search, view, and interact with data stored in Elasticsearch indices. You can easily perform advanced data analysis and visualize your data in a variety of charts, tables, and maps. Kibana makes it easy to understand large volumes of data. Its simple, browser-based interface enables you to quickly create and share dynamic dashboards that display changes to Elasticsearch queries in real time.
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Testimonials (5)

The demo of search data

Kenneth Wong - Hospital Authority
Course - Implementation and Administration of Elasticsearch

Discussion on the use of ElasticSearchin our company project and its optimization.

Michal - Madkom
Course - Elasticsearch for Developers

Machine Translated

Understandable presentation of issues

Sylwester - Inter Cars S.A.
Course - Elasticsearch for Developers

Machine Translated

- performance of prepared training environment - adequate examples and topics in accordance with needs

Błażej - Kyndryl Wrocław
Course - Elasticsearch for Developers

I liked that we got a general overview of elastic and learned tons of things that could be applied in current project the first day. I also liked that we went through current project code with a code review and mention improvements or/and stuff to think about or take up for discussion in the project on the second day. I like that the training gave me a good base to continue delve into elastic search.

Mattias Hansson - Chalmers Tekniska Högskola AB
Course - Elasticsearch for Developers

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