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Course Outline
Core Principles and Architecture
- Introduction to Scylla: Examining its history, key use cases, and performance benchmarks relative to Cassandra.
- Architectural Analysis: Exploring sharding, partitioning mechanisms, and the intrinsic distributed nature of the system.
- Data Modeling: Comprehending Clustering Keys, Partition structures, and supported Data Types.
- CQL Fundamentals: Getting started with the Cassandra Query Language and utilizing the CQL shell.
Cluster Deployment and Management
- Installation: Deploying Scylla across various operating system platforms.
- Cluster Configuration: Managing seeding processes, replication strategies, and automatic node discovery.
- Advanced CQL Usage: Executing complex queries, optimizing schema design, and implementing indexing.
- Scylla Utility Suite: Overview of essential built-in tools (including nodetool, sstableloader, and others).
- Administrative Operations: Handling user management, permission controls, and data lifecycle management.
Observability, Diagnostics & Optimization
- Monitoring: Implementing metrics collection and visualizing overall cluster health.
- Diagnostic Practices: Detecting performance bottlenecks, latency anomalies, and node-level failures.
- Performance Enhancement: Applying best practices for configuration and tuning.
- Course Conclusion: Key takeaways and final summary.
Requirements
- A foundational understanding of NoSQL database concepts
- Proficiency in Linux environments and command-line operations
21 Hours
Testimonials (3)
Practical knowledge over theory
Szymon - Agora SA
Course - Scylla Database
Trainer with huge knowledge and experience in the subject.
Michal - Agora SA
Course - Scylla Database
Intresting presentation and excercises