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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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30 free minutes with a training advisor — no commitment.
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Don't let this gap widen
Without advanced mastery of Cassandra, 65% of clusters experience critical downtimes exceeding 4h, causing average financial losses of 100k€ per incident according to Gartner.
Poor replication configuration leads to 40% irrecoverable data loss.
Untrained companies see operational costs explode by 200% in scalability.
Avoid recurrent outages that plague 75% of NoSQL deployments, and boost your resilience for an immediate 300% ROI on your Big Data infrastructure.
The Advanced Cassandra Training - Master High-Performance Clusters 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.
To ensure the quality of the Advanced Cassandra Training - Master High-Performance Clusters training, Learni provides the following 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.
The assessment of skills acquired during the Advanced Cassandra Training - Master High-Performance Clusters training is carried out through:
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.
Learni training programs are available for inter-company and intra-company settings, both in-person and remote. Registration is possible up to 48 business hours before the start of training. Our programs are eligible for OPCO, Pôle emploi, and FNE-Formation funding. Contact us to discuss your training project and funding possibilities.
Dive into the design of multi-datacenter clusters, configure cross-zone replication through practical exercises on dedicated VMs, simulate Ring and VNode topologies, test tunable consistency with real e-commerce application cases, produce a production-ready documented cluster schema.
Learn to tune JVM and garbage collection for load peaks, analyze metrics with nodetool and Prometheus, implement secondary indexes and Materialized Views on real datasets, measure gains via benchmarks, create optimization reports to reduce latency by 50%.
Master partition key and clustering strategies, manage compaction with TimeWindowCompaction for IoT, migrate schemas via advanced CQL on live clusters, resolve hot spots through hands-on exercises, generate scalable data plans for terabytes.
Secure with Kerberos and at-rest encryption, configure RBAC roles and audit logs, integrate monitoring with Grafana and custom alerts, simulate attacks and breaches in lab, deploy proactive dashboards, obtain security compliance certificates.
Deploy on Kubernetes with Helm charts, integrate Spark for real-time analytics, resolve real failures via war stories, complete a capstone project on a 5-node cluster with open-source deliverable, validate skills for DataStax certifications.
Target audience
Data engineers, Big Data architects, system administrators seeking to upskill on distributed NoSQL databases.
Prerequisites
Mastery of intermediate Cassandra, Java, Linux, distributed databases, and CQL.
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