Requirements

• Basic knowledge of databases and distributed systems
• Familiarity with Linux and command-line tools (helpful but not mandatory)
• A system capable of running Cassandra for hands-on exercises

Description

Introduction

This course offers a complete exploration of Apache Cassandra, focusing on its architecture, deployment methodologies, replication, sharding, and performance monitoring strategies. Designed for professionals and enthusiasts, this course will help you unlock the potential of Cassandra for large-scale, distributed applications while ensuring optimal performance and reliability.

Section 1: Understanding Cassandra Architecture

In this section, we delve deep into the foundation of Cassandra's architecture. You’ll learn about the fundamental principles that make Cassandra a reliable, distributed database. Each lecture builds progressively to provide a thorough understanding of its components and design choices.

• Lecture 1: Introduction to Architecture (Preview enabled)

• Lecture 2: Introduction to Architecture Continued (Preview enabled)

• Lecture 3: Architecture Part 1

• Lecture 4: Architecture Part 2 (Preview enabled)

• Lecture 5: Architecture Part 3

• Lecture 6: Architecture Part 4

Section 2: Cassandra Deployment Strategies

This section covers everything you need to know about deploying Cassandra in a production environment. From initial setup to advanced deployment techniques, you’ll gain practical insights into creating a reliable database infrastructure.

• Lecture 7: Deployment

• Lecture 8: Deployment Continued

Section 3: Replication and Sharding

Replication and sharding are essential for distributed databases like Cassandra. This section explores these concepts, helping you design systems that are scalable, fault-tolerant, and optimized for performance.

• Lecture 9: Replication

• Lecture 10: Sharding

• Lecture 11: Sharding Continued

Section 4: Performance Monitoring Strategies

Performance monitoring is critical for maintaining a high-performing Cassandra cluster. This section guides you through strategies and tools to monitor and optimize Cassandra’s performance, ensuring long-term reliability and efficiency.

• Lecture 12: Performance Monitoring Strategies

• Lecture 13: Performance Monitoring Strategies Continued

Conclusion

By the end of this course, you’ll be able to design, deploy, and monitor Cassandra databases effectively, with a clear understanding of its architecture and key operational strategies.

Who this course is for:

• Database administrators and engineers managing distributed databases
• Software developers interested in scaling applications with Cassandra
• Data architects designing fault-tolerant database solutions
• Students and professionals seeking in-depth knowledge of Cassandra