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Course Outline

Foundations and Architecture

  • Scylla Overview: History, real-world use cases, and performance comparisons with Cassandra.
  • Architectural Analysis: Sharding, partitioning, and the distributed nature of the system.
  • Data Modeling: Exploring Clustering Keys, Partitions, and Data Types.
  • CQL Essentials: Introduction to Cassandra Query Language and using the CQL shell.

Cluster Setup and Administration

  • Installation: Deploying Scylla across various operating system platforms.
  • Cluster Configuration: Seeding, replication strategies, and node discovery mechanisms.
  • Advanced CQL: Complex queries, schema design, and indexing techniques.
  • Tooling: Introduction to native utilities such as nodetool and sstableloader.
  • Administrative Tasks: User management, permission control, and data lifecycle handling.

Monitoring, Troubleshooting & Best Practices

  • Monitoring: Configuring metrics and visualizing overall cluster health.
  • Troubleshooting: Diagnosing bottlenecks, latency spikes, and node failures.
  • Performance Optimization: Applying configuration best practices.
  • Course Wrap-up: Key takeaways and final summary.

Requirements

  • A foundational understanding of NoSQL databases
  • Proficiency with Linux and the command line
 21 Hours

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