This Fundamentals of Cassandra DB training is designed to help participants understand and use Apache Cassandra for highly scalable, distributed NoSQL database applications. The course covers Cassandra architecture, data modeling, CQL, cluster management basics, replication, performance tuning, and operational best practices. Participants will gain hands-on experience to design, deploy, and manage Cassandra clusters for high-availability and large-scale data workloads.

• Understand the architecture, data model, and distributed database concepts of Apache Cassandra.
• Install, configure, and manage Cassandra clusters for scalable data storage.
• Design keyspaces, tables, partition keys, and schema structures for high-performance applications.
• Perform data insertion, retrieval, updates, and analytical queries using CQL.
• Implement replication, consistency, fault tolerance, and performance optimization techniques.
• Build scalable, highly available, and enterprise-ready NoSQL solutions using Cassandra best practices.

 • Big data engineers and developers
 • Backend developers building scalable applications
 • Database administrators managing NoSQL platforms
 • Architects designing distributed data systems
 • Professionals adopting Cassandra for large-scale workloads

 • Basic understanding of databases and data concepts
 • Familiarity with Linux or system administration is helpful
 • Interest in distributed systems and NoSQL databases

 • Understanding Cassandra architecture and components
 • Designing data models for Cassandra
 • Writing CQL queries
 • Creating and managing keyspaces and tables
 • Managing replication and consistency
 • Monitoring and tuning Cassandra performance
 • Managing Cassandra clusters basics
 • Applying Cassandra best practices

By the end of this training, participants will be able to design, deploy, and manage Cassandra databases for large-scale, distributed applications. Learners will gain strong fundamentals in data modeling, CQL, and cluster operations, enabling them to build highly available and scalable NoSQL data platforms.

Introduction to Cassandra & Distributed Database Concepts
 • What is Cassandra and where it is used
 • CAP theorem and Cassandra design principles
 • Cassandra architecture and components
 • Use cases for Cassandra

Cassandra Installation & Cluster Setup Basics
 • Cassandra deployment options
 • Installing Cassandra
 • Basic configuration files
 • Verifying cluster setup

Data Modeling in Cassandra
 • Query-driven data modeling
 • Partition keys and clustering columns
 • Denormalization strategies
 • Avoiding common data modeling mistakes

CQL Fundamentals
 • Introduction to CQL
 • Creating keyspaces and tables
 • Inserting, updating, and deleting data
 • Querying data with CQL

Replication & Consistency Levels
 • Replication strategies
 • Consistency levels
 • Tuning for availability and performance
 • Understanding read and write paths

Secondary Indexes & Materialized Views
 • Using secondary indexes
 • Materialized views basics
 • When to use and avoid them
 • Performance considerations

Cluster Monitoring & Maintenance
 • Using nodetool
 • Monitoring cluster health
 • Repair and compaction basics
 • Routine maintenance tasks

Performance Tuning & Optimization
 • JVM and memory tuning basics
 • Read and write performance tuning
 • Data distribution and hotspots
 • Hardware considerations

Security & Access Control
 • Authentication and authorization
 • Role-based access control
 • Encrypting data in transit and at rest
 • Securing Cassandra clusters

Backup, Restore & Disaster Recovery
 • Snapshot-based backups
 • Restore procedures
 • Multi-datacenter replication basics
 • Disaster recovery planning

Integration with Big Data & Streaming Platforms
 • Integrating Cassandra with Spark
 • Using Kafka with Cassandra
 • ETL patterns
 • Real-time analytics use cases

Cassandra Project Workshop & Best Practices
 • Designing a Cassandra data model
 • Building a Cassandra-backed application schema
 • Applying performance and security best practices
 • Final project review and optimization

• Cassandra Setup & Architecture Assessment
• Data Modeling & Schema Design Assessment
• CQL & Data Operations Assessment
• Replication, Consistency & Performance Optimization Assessment
• NoSQL Database Implementation Project Assessment

Participants will be evaluated through hands-on Cassandra labs, practical data modeling and CQL exercises, instructor-led reviews, and a final project-based assessment focused on building and optimizing a Cassandra-based data solution.

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

Upon successful completion of the training, participants will receive an AcadNXT Certificate of Completion for Fundamentals of Cassandra DB. This digital, verifiable certification validates practical Cassandra NoSQL development, distributed database architecture, and large-scale data platform skills and can be shared on LinkedIn and included in professional profiles to enhance big data and NoSQL career credibility.