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 Cosmos DB - Scaling NoSQL Data Multi-Regions training are: Knowledge of NoSQL databases, SQL Server or MongoDB, Azure fundamentals, and C# or JavaScript programming. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Training Cosmos DB - Scaling NoSQL Data Multi-Regions training is available in remote. The format can be adapted to your needs (inter, intra, custom).

Training Cosmos DB - Scaling NoSQL Data Multi-Re... | 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 Cosmos DB - Scaling NoSQL Data Multi-Regions 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 Cosmos DB - Scaling NoSQL Data Multi-Regions 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 Cosmos DB - Scaling NoSQL Data Multi-Regions 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 access terms and deadlines

Training objectives

Master partitioned data modeling in Cosmos DB for professional applications

Develop advanced SQL and Core API queries with optimal indexing

Implement horizontal scaling and multi-region deployment for high availability

Integrate Cosmos DB with Azure services via SDK for certified data pipelines

Optimize costs and performance with enterprise monitoring and tuning

Design secure and resilient schemas for advanced cloud competencies

Training program

Module 1Cosmos DB: Advanced Modeling and Partitioning (RU, Keys, Schemas)

Dive into the design of partitioned Cosmos DB containers, analyze partition key strategies for massive workloads, model relational and hierarchical data adapted to SQL and MongoDB APIs, perform practical exercises on real enterprise datasets, generate optimized schemas with automatic RU provisioning, test performance impacts via Azure portal, produce a first scalable deliverable model.

Module 2Cosmos DB: Advanced Queries and Indexing (SQL API, Aggregation)

Master authoring complex SQL queries on Cosmos DB, leverage composite and spatial indexing for fast searches, integrate aggregation pipelines and multi-container joins, practice with .NET and Node.js SDKs on large e-commerce cases, optimize RU costs per query via EXPLAIN plans, develop stored procedures and triggers for business logic, validate with live benchmarks and trainer code review.

Module 3Cosmos DB: Global Scaling and Multi-Region (Replication, Consistency)

Configure multi-region Cosmos DB clusters for minimal global latency, test session and bounded-staleness consistency levels in real scenarios, implement auto-scaling containers and serverless throughput, simulate traffic spikes with Azure Load Testing tools, analyze replication metrics via Insights, migrate data cross-regions without downtime, produce certifiable HA architecture for your capstone project.

Module 4Cosmos DB: Azure Integrations and Advanced SDKs (Change Feed, Synapse)

Integrate Cosmos DB with Azure Functions and Logic Apps for event-driven applications, exploit Change Feed Processor for real-time data streams, connect to Synapse and Power BI for advanced analytics, code polyglot applications with Python and Java SDKs, manage distributed multi-resource transactions, practice ETL pipelines on terabyte volumes, deploy connected prototypes with GitHub Actions CI/CD.

Module 5Cosmos DB: Security, Monitoring, and Optimization (Costs, Backups)

Secure Cosmos DB access via RBAC, VNet, and client-side encryption, monitor performance with Diagnostic Settings and Grafana, optimize RU costs with indexing policies and TTL, automate geo-redundant backups, analyze logs for incident troubleshooting, perform complete security audit on enterprise project, finalize global tuning with optimization report and certified maintenance plan.