Apache Cassandra Training is a practical, hands-on program designed to equip learners with the skills required to design, deploy, and manage highly scalable and fault-tolerant NoSQL databases using Apache Cassandra. This training focuses on Cassandra architecture, data modeling, partitioning, replication strategies, query optimization, cluster setup, and performance tuning. Participants will gain real-world experience in building distributed database solutions capable of handling large-scale, high-velocity data workloads with high availability.

Participants will gain strong practical expertise in Apache Cassandra, enabling them to design scalable NoSQL data models, manage distributed clusters, and optimize database performance for high-volume applications.

• Apache Cassandra architecture and distributed design
• NoSQL data modeling techniques for wide-column stores
• Cluster setup and node management
• Partitioning and replication strategies
• CQL (Cassandra Query Language) proficiency
• Performance tuning and optimization techniques
• High availability and fault tolerance implementation

• Basic understanding of databases and SQL concepts
• Familiarity with distributed systems concepts
• Basic knowledge of Linux/Unix command line
• Understanding of data modeling fundamentals is helpful

• Apache Cassandra architecture and distributed design
• NoSQL data modeling techniques for wide-column stores
• Cluster setup and node management
• Partitioning and replication strategies
• CQL (Cassandra Query Language) proficiency
• Performance tuning and optimization techniques
• High availability and fault tolerance implementation

Upon completion of this training, participants will be able to design and manage Apache Cassandra databases for large-scale distributed applications. They will be capable of building highly available, fault-tolerant, and scalable NoSQL database solutions for enterprise environments.

Introduction to Apache Cassandra Architecture
• Overview of NoSQL and Cassandra use cases
• Cassandra architecture and ring structure
• Nodes, clusters, and data distribution model
• Installation and cluster setup basics

Data Modeling and CQL Fundamentals
• Understanding partition keys and clustering keys
• Designing efficient data models
• Introduction to Cassandra Query Language (CQL)
• Basic CRUD operations in Cassandra
Advanced Data Distribution and Performance
• Replication strategies and consistency levels
• Data partitioning and token management
• Query optimization techniques
• Handling large-scale distributed workloads

Cluster Management and Production Best Practices
• Monitoring and troubleshooting Cassandra clusters
• Backup, restore, and maintenance strategies
• Performance tuning and compaction strategies
• Security and access control basics

• Cassandra architecture and cluster design
• Data modeling and partitioning strategies
• CQL query language
• Replication and consistency levels
• Performance tuning and optimization
• Cluster monitoring and troubleshooting

• Hands-on cluster setup exercises
• CQL query writing assignments
• Data modeling and design tasks
• Mini project on distributed database implementation

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Participants who successfully complete the training will receive an AcadNXT Certification in Apache Cassandra Training, validating their expertise in NoSQL database design, distributed data management, cluster administration, and high-performance data architecture using Apache Cassandra.