Apache Cassandra Certification Training Course Syllabus

Overview: This comprehensive Apache Cassandra Certification Training course is designed for data professionals seeking to master the fundamentals and advanced aspects of Cassandra’s distributed architecture. Spanning 8 modules over approximately 8 weeks with a recommended time commitment of 6-8 hours per week, the program blends theoretical knowledge with hands-on labs. You’ll learn to design scalable data models, manage clusters, ensure high availability, and apply best practices in real-world scenarios. The course concludes with a capstone project that integrates all concepts, culminating in a certificate of completion.

Module 1: Introduction to Cassandra & Setup

Estimated time: 6 hours

• NoSQL vs. RDBMS
• Cassandra use cases
• Installation and environment setup
• Create your first keyspace

Module 2: Data Modeling with CQL

Estimated time: 6 hours

• Understanding tables and primary keys
• Partition and clustering keys
• Collection types in CQL
• Writing CQL queries for data manipulation

Module 3: Replication & Consistency

Estimated time: 6 hours

• Replication factor and strategies
• Consistency levels in reads and writes
• Read/write path mechanics
• Multi-datacenter replication configuration

Module 4: Performance Tuning & Indexing

Estimated time: 6 hours

• Compaction strategies
• Row and key caching
• Secondary indexes and materialized views
• Performance benchmarking and tuning

Module 5: Cluster Management & Monitoring

Estimated time: 6 hours

• Using nodetool for cluster operations
• Monitoring with JMX metrics
• Alerting and health checks
• Repair workflows and node failure simulation

Module 6: Backup, Restore & Security

Estimated time: 6 hours

• Snapshot and incremental backups
• Data restore procedures
• Authentication and authorization
• Role-based access control (RBAC)

Module 7: Advanced Features & Use Cases

Estimated time: 6 hours

• Lightweight transactions (LWT)
• Time-to-live (TTL) for data expiration
• Time-series data patterns
• Basic Spark integration

Module 8: Capstone Project

Estimated time: 8 hours

• Design a multi-region user activity tracker
• Implement high-throughput data model
• Deploy and test fault-tolerant cluster setup

Prerequisites

• Familiarity with Linux command line
• Basic understanding of Java environment
• Fundamental knowledge of databases and networking

What You'll Be Able to Do After

• Design and deploy scalable Cassandra data models
• Configure and manage multi-node, multi-datacenter clusters
• Optimize performance using tuning and indexing strategies
• Implement backup, restore, and security policies
• Build real-time, fault-tolerant applications using Cassandra