Is the training Qualiopi certified?

Yes, Learni is a Qualiopi-certified training organization. This certification guarantees the quality of our courses and enables funding through OPCO and other mechanisms.

How can I fund my training?

Our courses are eligible for OPCO funding. Learni supports you through the funding process. A personalized quote is available upon request.

What are the prerequisites for this training?

The prerequisites for the Advanced Elasticsearch Training - Optimize Big Data Performance training are: Mastery of basic Elasticsearch (indexing, search DSL), Linux, REST API, Java or Python.. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Advanced Elasticsearch Training - Optimize Big Data Performance training is available in in-person. The format can be adapted to your needs (inter, intra, custom).

Advanced Elasticsearch Training - Optimize Big D... | Learni

The story of Learni

Founded by passionate advocates of learning and innovation, Learni set out to make professional training accessible to everyone, everywhere in the world. Our team works in the largest cities such as Paris, Lyon, Marseille, and internationally, to support talents and organizations in their skills development.

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Methods, approaches, and teaching resources

The Advanced Elasticsearch Training - Optimize Big Data Performance training is delivered in-person or remotely (blended-learning, e-learning, virtual classroom, remote in-person). At Learni, a Qualiopi-certified training organization, each program is designed to maximize skills acquisition, regardless of the training mode chosen.

The trainer alternates between demonstrative, interrogative, and active methods (through practical exercises and/or real-world scenarios). This pedagogical approach ensures concrete and directly applicable learning in the workplace.

Teaching resources provided

To ensure the quality of the Advanced Elasticsearch Training - Optimize Big Data Performance training, Learni provides the following teaching resources:

Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, video projector or interactive touchscreen (for remote sessions)
Training environments installed on workstations or accessible online
Course materials, practical exercises, and supplementary resources
Post-training access to materials and teaching resources

For in-house training at a location external to Learni, the client ensures and commits to having all necessary teaching materials (IT equipment, internet connection...) for the proper conduct of the training action in accordance with the prerequisites indicated in the communicated training program.

* contact us for remote feasibility** ratio varies depending on the training followed

Assessment methods

The assessment of skills acquired during the Advanced Elasticsearch Training - Optimize Big Data Performance training is carried out through:

During training: case studies, practical exercises, and professional scenarios
At the end of training: self-assessment questionnaire and skills evaluation by the trainer
After training: training completion certificate detailing acquired skills

Training accessibility

Learni is committed to the accessibility of its professional training programs. All our training programs are accessible to people with disabilities. Our teams are available to adapt teaching methods to your specific needs. Do not hesitate to contact us for any accommodation request.

Training objectives

Deploy high-availability Elasticsearch clusters with advanced sharding

Optimize indexing and search for massive data volumes

Master complex aggregations and processing pipelines

Implement X-Pack security and fine-grained roles

Configure monitoring and alerting with Elastic Stack

Integrate Elasticsearch into scalable microservices

Training program

Module 1Cluster Architecture: Scaling, Sharding, Replicas in Elasticsearch

Dive into the heart of advanced clusters, configure shards and replicas for high availability, test horizontal scaling on virtual machines, simulate failures to validate resilience, produce architecture diagrams and automated deployment scripts, while mastering Curator tools for lifecycle management.

Module 2Index/Mappings Optimization: Elasticsearch Performance

Learn to tune custom analyzer mappings, optimize bulk indexing for terabytes of logs, analyze slow logs with Profiler, perform zero-downtime reindexing exercises, generate before/after benchmarks, and deploy ILM policies for automatic index rotation.

Module 3Advanced Queries/Aggregations: Elasticsearch DSL

Build nested queries, percolators, and smart suggesters, chain aggregation pipelines for real-time analytics, test on real e-commerce datasets, develop Painless scripts for data enrichment, validate results via Kibana Dev Tools, and optimize for top search precision.

Module 4Security/Monitoring: X-Pack, Kibana in Elasticsearch

Enable OAuth authentication, RBAC roles, and TLS encryption, monitor with Metricbeat and Elastic APM, configure alerting watches for anomalies, deploy custom Kibana dashboards, simulate attacks for hardening, and integrate security logs into SIEM for bulletproof production environments.

Module 5Integrations/Real Cases: Advanced Elasticsearch Projects

Integrate Logstash and Beats for hybrid ingestion, develop GraphQL APIs on Elasticsearch, scale with Kubernetes operators, complete a final project on a client Big Data case, present deliverables and optimizations, receive expert feedback for immediate enterprise deployment.