Module 1: Introduction to Apache Cassandra
  • Overview of No SQL databases and Cassandra.
  • History and evolution of Cassandra.
  • Cassandra’s features and use cases.
  • Distributed database concepts.
Module 2: Cassandra Data Model
  • Understanding the Cassandra data model (tables, rows, columns).
  • Primary keys and clustering columns.
  • Data types in Cassandra.
  • Composite keys and collections (sets, lists, maps).
Module 3: Data Modeling in Cassandra
  • Best practices for data modeling.
  • Denormalization and designing for queries.
  • Understanding the CAP theorem in the context of Cassandra.
  • Creating and managing tables in Cassandra.
Module 4: Querying Data in Cassandra
  • CQL (Cassandra Query Language) basics.
  • SELECT statements and filtering data.
  • UPDATE, DELETE, and INSERT operations.
  • Batch operations and lightweight transactions.
Module 5: Data Distribution and Replication
  • Cassandra’s distributed architecture.
  • Partitioning and data distribution.
  • Replica placement and consistency levels.
  • Handling data distribution and replication for high availability.
Module 6: Tuning and Optimization
  • Monitoring and metrics in Cassandra.
  • Tuning Cassandra for performance.
  • Compaction and compression strategies.
  • Handling large-scale data.
Module 7: Security in Cassandra
  • Authentication and authorization.
  • Encryption and SSL/TLS.
  • Data encryption at rest.
  • Securing Cassandra clusters.
Module 8: Backup and Recovery
  • Backup strategies and options.
  • Point-in-time recovery.
  • Backup and restore procedures.
  • Data durability and fault tolerance.
Module 9: Apache Cassandra Operations
  • Deploying Cassandra clusters.
  • Managing nodes and adding/removing nodes.
  • Maintenance and upgrades.
  • Troubleshooting common issues.
Module 10: Integrations and Ecosystem
  • Using drivers and client libraries (Java, Python, etc.).
  • Integrating Cassandra with other technologies (Spark, Elasticsearch, etc.).
  • Exploring the Cassandra ecosystem and tools.
Module 11: Use Cases and Real-World Examples
  • Case studies and examples of Cassandra in production.
  • Architectural patterns and best practices for specific use cases.
  • Building scalable and fault-tolerant applications.
Module 12: Advanced Topics (Optional)
  • Time-series data modeling.
  • Multi-data center and cross-region replication.
  • Consistency and tunable consistency.
  • Advanced troubleshooting and performance optimization.