Nex-G Innovations

The objective of this Cassandra training is to equip participants with a solid understanding of Apache Cassandra’s architecture, data modeling, and query language while providing practical skills to deploy, manage, and scale Cassandra clusters effectively.

The program emphasizes real-world applications of distributed database concepts, helping learners design high-performance, fault-tolerant systems that meet modern business needs. By the end of the training, participants will be confident in leveraging Cassandra for handling large-scale, mission-critical data workloads, integrating it with applications, and optimizing performance for enterprise-grade use cases.

Code: NES_SK_7551

Duration: 40 hrs / 4 weeks / Customized

Mode: Corporate (Instructor Led - Online / Offline / Onsite), Individual (Instructor Led - Online / Offline)

Certification: Certified Cassandra Professional

+91-8826900551

• Relational vs NoSQL databases
• CAP theorem & Cassandra’s place (AP with tunable consistency)
• Cassandra history & real-world use cases
• Cassandra architecture: nodes, clusters, data replication
• Gossip protocol, partitioning, and consistency

• Cassandra Query Language (CQL) overview
• Keyspaces, tables, primary keys
• Insert, update, delete, select operations
• Collections, user-defined types (UDTs)
• Query-driven modeling vs RDBMS normalization

• Partition key, clustering columns
• Wide rows, composite keys
• Secondary indexes, materialized views
• Data modeling best practices & anti-patterns
• Handling time-series data in Cassandra

• Multi-node cluster architecture
• Replication strategies (Simple, NetworkTopology)
• Consistency levels and tunability
• Using nodetool for cluster management

• Write & read paths
• Compaction & compression strategies
• Caching mechanisms
• Repair, hinted handoff, and anti-entropy
• Backup & restore strategies

• Monitoring Cassandra (JMX, Prometheus, Grafana)
• Performance tuning parameters
• Authentication & authorization (role-based access)
• Encryption (in-transit & at-rest)

• Application integration using drivers (Java, Python)
• Building microservices with Cassandra
• Lightweight transactions (LWTs) and batch operations
• Cassandra with Spark / Kafka (overview)

• Hands-On Lab On Each Module
• Project: Design & deploy a real-world use case