Local, instructor-led live Elasticsearch training courses demonstrate through interactive discussion and hands-on practice the Elasticksearch architecture and terminology and how to set up, manage and operate Elasticsearch.
Elasticsearch training is available as "onsite live training" or "remote live training". Onsite live training can be carried out locally on customer premises in the US or in NobleProg corporate training centers in the US. Remote live training is carried out by way of an interactive, remote desktop.
NobleProg -- Your Local Training Provider
Client Testimonials
★★★★★
★★★★★
Learning a new skill
Aidan Thomas
Course:
Implementation and Administration of Elasticsearch
Theachers knowledge, the traning slides.
Optidev AB
Course:
Implementation and Administration of Elasticsearch
Instance section
宁 赵
Course:
Elasticsearch Advanced Administration, Monitoring and Maintenance
Translated by
实例部分
Example demonstrations, in particular, helped us to demonstrate on-site demonstrations of surrender rates.
ruoran lin
Course:
Elasticsearch Advanced Administration, Monitoring and Maintenance
Translated by
实例演示，特别是帮助我们现场演示了退保率surrender rate预警指标的规则引擎制定
thoroughly explained topic
ING Business Shared Services B.V.
Course:
ELK: Elasticsearch, Logstash and Kibana for administrators
Translated by
dokładnie wyjaśniona tematyka.
examples from life
ING Business Shared Services B.V.
Course:
ELK: Elasticsearch, Logstash and Kibana for administrators
Translated by
przykłady z życia
Knowledge of the teacher, individual help, answering a lot of questions from the students
Michalina Antos - ING Business Shared Services B.V.
Course:
ELK: Elasticsearch, Logstash and Kibana for administrators
Translated by
Wiedza prowadzącego, indywidualna pomoc, odpowiadanie na dużo pytań kursantów
An attempt to solve the problem posed on the part of the participants
ING Business Shared Services B.V.
Course:
ELK: Elasticsearch, Logstash and Kibana for administrators
Translated by
Próba rozwiązania problemu postawionego po stronie uczestników
Elasticsearch is an open-source, distributed search engine. It is commonly used together with Logstash (data-collection and log-parsing engine) and Kibana (analytics and visualization platform) to make up the "ELK stack".
This training is aimed at software developers who wish to build search and analytics solutions using Elasticsearch.
The training starts with a discussion of the Elasticksearch 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.
Audience
Software developers
Format of the course
Heavy emphasis on live practice. Most of the concepts are learned through samples, exercises and hands-on development.
This training 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.
Audience
System administrators
Format of the course
Heavy emphasis on live practice.
Most of the concepts are learned through exercises and hands-on implementation and deployment.
This training introduces Kibana to the users of Elastic Search.
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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