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 Training Cassandra Advanced - Optimize Distributed NoSQL Clusters training are: Mastery of Java, advanced SQL, Linux, NoSQL basics, and distributed clusters.. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Training Cassandra Advanced - Optimize Distributed NoSQL Clusters training is available in remote. The format can be adapted to your needs (inter, intra, custom).

Training Cassandra Advanced - Optimize Distribut... | 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 Training Cassandra Advanced - Optimize Distributed NoSQL 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.

Teaching resources provided

To ensure the quality of the Training Cassandra Advanced - Optimize Distributed NoSQL Clusters 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 Training Cassandra Advanced - Optimize Distributed NoSQL Clusters 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

Configure high-availability multi-node Cassandra clusters

Optimize CQL queries for maximum performance

Manage replication, consistency, and advanced partitioning

Monitor and troubleshoot clusters in real production

Integrate Cassandra with the Big Data ecosystem

Migrate SQL data to optimized Cassandra schemas

Implement performance tuning and backup strategies

Training program

Module 1Advanced Architecture: Data Modeling and Partitioning (CQL, SSTables, OpsCenter)

Explore Cassandra's distributed architecture, model optimized data schemas for scalability, practice partitioning through exercises on local virtual clusters, create advanced CQL keyspaces and tables, analyze SSTables for efficient persistence, visualize everything with OpsCenter, gain immediate mastery for critical projects.

Module 2Advanced CQL Queries: Optimization and Indexing (cqlsh, Java Drivers)

Master complex CQL queries, optimize with secondary indexes and materialized views, code practical exercises via cqlsh and Java drivers, test on massive datasets, analyze execution plans to boost speed, integrate UDT and tuples, transform your apps into ultra-responsive machines.

Module 3Cluster Management: Replication, Repair, and Consistency (nodetool, repair)

Deploy multi-DC replication, manage tunable consistency levels, practice nodetool for node bootstrap and decommission, simulate failures for repair exercises, resolve hints and tombstones, secure clusters with authentication, become an expert in resilience without downtime.

Module 4Performance Tuning and Monitoring: Metrics, Garbage Collection (Prometheus, Grafana)

Tune JVM and compaction strategies for traffic peaks, monitor with Prometheus and Grafana on live clusters, analyze bottlenecks via real exercises, optimize read/write paths, configure incremental backups, achieve 10x better latency, excel in production.

Module 5Integrations and Real Projects: Spark, Kafka, SQL Migration (DataStax Enterprise)

Integrate Cassandra with Spark and Kafka for Big Data pipelines, migrate SQL databases via guided exercises, deploy final projects on production-simulated clusters, test advanced DataStax tools, deliver scalable POCs, leave with a concrete, certifiable portfolio.