distributed databases course
This course equips you with practical knowledge to build and operate distributed databases effectively. Delve into sharding techniques, replication strategies, consistency models, and geo-distributed query handling. Develop skills to design robust, low-latency data platforms that support global applications, analytics pipelines, and machine learning operations at massive scale while ensuring resilience and compliance.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
Gain hands-on expertise in designing and managing distributed databases for global-scale applications. Master sharding, replication, consensus algorithms, and consistency models. Apply these to OLTP, analytics, and machine learning workloads. Explore data modeling, governance, security measures, observability tools, and disaster recovery strategies to create scalable, compliant, and highly resilient multi-region data systems efficiently.
Elevify advantages
Develop skills
- Design global data models by partitioning, replicating, and regional domain placement.
- Architect low-latency systems through routing optimization, caching, and read/write path tuning.
- Navigate consistency trade-offs by selecting models, resolving conflicts, and managing partitions.
- Implement distributed storage solutions including NoSQL, distributed SQL, CDC, and streaming.
- Secure and govern multi-region data with residency controls, encryption, DR plans, and observability.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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