Online or onsite, instructor-led live OpenSearch training courses demonstrate through interactive hands-on practice how to use OpenSearch to perform distributed search and data analytics in a unified and secure system.
OpenSearch 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 OpenSearch training can be carried out locally on customer premises in Lyon or in NobleProg corporate training centers in Lyon.
OpenSearch is also known as Amazon OpenSearch Service (formerly Amazon Elasticsearch Service).
NobleProg -- Your Local Training Provider
Lyon, Swisslife Tower
NobleProg Lyon, 10 Place Charles Béraudier, Lyon, france, 69000
Located 200 meters far from the train station TGV, Swisslife Tower is today the most representative building of this quarter of Lyon. The Business Center offers you a perfect location for your training.
Gares TGV
100meters from Gare TGV Part-Dieu , porte du Rhône Exit
Aéroport
30 minutes from Lyon Saint Exupéry (Satolas)
Rhône Express from Saint Exupéry airport (Terminus Gare part-Dieu)
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 also allows for the evaluation of participants.
Instructor-led theory sessions with guided discussions.
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 also allows for the evaluation of participants.
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 Lyon (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.
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Testimonials (1)
Got to know new features in OS which I wasn't aware before.
Dhivyalakshmi Ponnusamy - Mercedes-Benz AG
Course - Search and Analytics with Amazon OpenSearch
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