Online or onsite, instructor-led live Search Engines training courses demonstrate through interactive discussion and hands-on practice how to use Search Engines in your applications.
Search Engines training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live Search Engines trainings in Dobrogea can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Constanta, Mircea cel Batran Street
NobleProg Constanta, Str. Mircea cel Batran, Constanta, romania, 900658
The building is situated in the central part of the city with view to the Black Sea. The hotel contains three conference rooms fully equipped for training, meetings and conferences. Just a quick walk and you can relax on the beach after a full day in the conference center.
Elastic Stack (ELK) is a powerful platform for searching, analyzing, and visualizing log data in real-time from multiple sources.
This instructor-led, live training (online or onsite) is aimed at intermediate-level IT professionals who wish to deepen their ELK expertise for managing distributed log data, automating alerts, and creating advanced visualizations and dashboards.
By the end of this training, participants will be able to:
Configure advanced ingestion and parsing flows from multiple sources including databases.
Create customized Kibana dashboards for different teams or use cases.
Implement email notifications and condition-based alerts.
Use regular expressions to improve search precision in logs.
Manage user roles and access rights for secure log environments.
Interact with the Elasticsearch REST API for automation and integration.
Format of the Course
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
OpenSearch is a scalable, open-source search and analytics suite designed for high-volume data indexing, observability, and real-time analytics across distributed systems.
This instructor-led, live training (online or onsite) is aimed at advanced-level engineers and architects who wish to design, deploy, and manage OpenSearch clusters capable of handling large-scale data ingestion and analytics workloads, both on-premises and using AWS OpenSearch Service.
By the end of this training, participants will be able to:
Design and deploy highly scalable OpenSearch clusters across multiple environments.
Optimize indexing, search, and storage for performance at scale.
Integrate OpenSearch with AWS OpenSearch Service for hybrid and managed deployments.
Implement observability, high availability, and automated recovery strategies.
Format of the Course
Instructor-led theory sessions with guided discussions.
This instructor-led, live training in Dobrogea (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.
OpenSearch is an open-source search and analytics suite derived from Elasticsearch 7.10 and Kibana 7.10, originally developed by AWS to maintain a fully open alternative after licensing changes by Elastic NV.
This instructor-led, live training (online or onsite) is aimed at intermediate-level engineers and architects who wish to deploy, configure, and manage OpenSearch clusters for search, observability, and analytics workloads, while understanding its relationship with AWS OpenSearch Service.
By the end of this training, participants will be able to:
Understand the architecture, components, and capabilities of OpenSearch and its dashboards.
Deploy and configure OpenSearch clusters on-premises and in the cloud.
Integrate OpenSearch with AWS OpenSearch Service and other enterprise data systems.
Optimize performance, security, and scalability for production-grade deployments.
Format of the Course
Instructor explanations combined with live demonstrations.
Hands-on labs and real-world configuration exercises.
Collaborative discussions focused on troubleshooting and best practices.
Course Customization Options
To tailor the content or focus of this OpenSearch training to your organization’s specific needs, please reach out to arrange a customized session.
This instructor-led, live training in Dobrogea 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.
This instructor-led, live training in Dobrogea (online or onsite) is aimed at developers and administrators who wish to use OpenSearch to perform distributed search and data analytics in a unified and secure system.
By the end of this training, participants will be able to:
Set up the necessary development environment to start building search and analytics solutions with OpenSearch and OpenSearch Dashboards.
Understand the three approaches (snapshot, restart, and rolling) in upgrading from Elasticsearch OSS to OpenSearch.
Learn how to index data, create data streams, run queries, and streamline cross-cluster operations in OpenSearch.
Explore and use plugins, APIs, clients, and ingestion tools (Beats, Logstash, Grafana, etc.) to optimize search experience while keeping clusters secure.
Use OpenSearch Dashboards to centralize data management, visualization, logging, monitoring, and maintenance.
This instructor-led, live training in Dobrogea (online or onsite) is aimed at beginner-level IT professionals and developers who wish to use Elasticsearch to store, search, and analyze data in real time.
By the end of this training, participants will be able to: install and configure Elasticsearch, index and query data, optimize search performance, and integrate Elasticsearch into applications.
This instructor-led, live training in Dobrogea (online or onsite) is aimed at advanced-level professionals who wish to administer, monitor, and maintain Elasticsearch clusters effectively for high performance and availability.
By the end of this training, participants will be able to:
Deploy and configure Elasticsearch clusters for high availability and performance.
Monitor and optimize Elasticsearch operations.
Integrate with Kibana and Logstash for advanced analytics and visualization.
Extend Elasticsearch functionality with plugins.
Scale Elasticsearch using clustering and sharding techniques.
This instructor-led, live training in Dobrogea 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.
The Elastic Stack (formerly ELK Stack) is a comprehensive suite of open-source tools designed for search, analytics, and visualization of structured and unstructured data. This training program is tailored to equip participants with a deep understanding of Elastic Stack components—Elasticsearch, Kibana, Logstash. The course will cover foundational concepts, installation, configuration, cluster management, advanced analytics, and production best practices.
The course is structured to provide both theoretical insights and hands-on experience, making it suitable for professionals seeking to deploy, manage, and optimize Elastic Stack in real-world environments. By the end of the course, participants will have the skills to design, implement, and maintain scalable and resilient Elastic Stack solutions.
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.
The Hidden Cost of "Invisible" Code Migrating to or building with Nuxt 4 offers incredible performance, but its complex rendering modes (Hybrid, ISR, SWR) create a dangerous "Rendering Cliff." If your developers treat Nuxt 4 purely as a UI framework without understanding its hydration behavior, you risk deploying applications that are invisible to Google. A site that cannot be indexed yields 0% organic return on investment. Fixing these architectural issues post-launch costs 3x to 5x more than implementing them correctly during the build.
This instructor-led, live training in Dobrogea (online or onsite) is aimed at web developers who wish to use regular expressions to create robust algorithms for defining search patterns.
By the end of this training, participants will be able to:
Write complex search patterns using character sets.
Apply regular expression techniques to any regex engine like PHP, Python, etc.
Script automation into a system process using extended regular expressions.
This course introduces students to the Solr platform. Through a combination of lecture, discussion and labs students will gain hands on experience configuring effective search and indexing.
The class begins with basic Solr installation and configuration then teaches the attendees the search features of Solr. Students will gain experience with faceting, indexing and search relevance among other features central to the Solr platform. The course wraps up with a number of advanced topics including spell checking, suggestions, Multicore and SolrCloud.
Duration: 3 days
Audience: Developers, business users, administrators
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Testimonials (8)
The content is very helpful, and the trainer makes it more easier to understand
Ibrahim Al mayahi - Vastech SA
Course - Advanced Elasticsearch and Kibana Administration
the profesionalism of the trainer; the way he tried to respond to all the questions; the review questions we had to ask: engaging us in conversations
Ioana
Course - Implementation and Administration of Elasticsearch
the practice learning
Presiyan Petrov
Course - ELK Training
Plenty of knowledge.
Ireneusz - Inter Cars S.A.
Course - Elasticsearch for Developers
Interaction with the trainer and explanation
Maurizio - Accenture
Course - Advanced Solr
the trainer was very good and made the training perfect for my needs
Florentin - EXPERIS
Course - Search and Analytics with Amazon OpenSearch
very to the point and hands on. No "powerpoint-training" but real scenarios and demos
Michael Sperber - WUR/ Computrain
Course - Solr for Developers
Informing about practical examples
Martin Gobschiba - A1 Telekom Austria AG
Course - ELK: Elasticsearch, Logstash and Kibana for Administrators
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