APACHE CASSANDRA
Apache Cassandra is an open-source, distributed NoSQL database management system designed for high availability, scalability, and fault tolerance. It was originally developed by Facebook and later open-sourced as part of the Apache Software Foundation.
BEST APACHE CASSANDRA Training in Pune/ Online
Duration of Training : 32 hrs
Batch type : Weekdays/Weekends
Mode of Training : Classroom/Online/Corporate Training
Module 1: Introduction to Apache Cassandra
- Overview of NoSQL 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-datacenter and cross-region replication.
- Consistency and tunable consistency.
- Advanced troubleshooting and performance optimization.
