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 Duration 21 hours

Course Outline

Core Concepts and Architecture

  • Overview of Scylla: Historical context, practical use cases, and performance comparisons with Cassandra.
  • Architectural Analysis: In-depth look at sharding, partitioning, and the distributed nature of the system.
  • Data Modeling: Grasping Clustering Keys, Partitions, and supported Data Types.
  • CQL Fundamentals: Introduction to Cassandra Query Language and operating the CQL shell.

Cluster Deployment and Administration

  • Installation: Deploying Scylla across various operating system platforms.
  • Cluster Configuration: Managing seeding, replication strategies, and node discovery processes.
  • Advanced CQL Usage: Complex queries, schema design, and index implementation.
  • Utility Tools: Getting familiar with built-in utilities such as nodetool and sstableloader.
  • Administrative Tasks: Managing users, defining permissions, and overseeing the data lifecycle.

Monitoring, Troubleshooting & Best Practices

  • Monitoring: Configuring metrics collection and visualizing overall cluster health.
  • Troubleshooting: Diagnosing performance bottlenecks, latency spikes, and node failures.
  • Performance Optimization: Applying configuration best practices for optimal results.
  • Course Summary: Key takeaways and concluding remarks.

Requirements

  • Basic knowledge of NoSQL databases
  • Experience with Linux environments and command-line interfaces

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